Digital science in Horizon 2020

Digital science in Horizon 2020 March 2013 Table of Contents Executive Summary Vision for Digital science Proposed approach to Digital science in Horizon 2020 1.Introduction... 1 2.Scope of Digital science... 2 New methods for research... 2 New access to research results and processes... 2 Collaboration in research... 3 Interaction with society... 3 Summary of Digital science aspects... 4 3.Potential and challenges for Digital science... 5 Potential for Digital science... 5 Challenges for Digital science... 7 4.Digital science in CONNECT... 8 Objects of enquiry... 8 Stakeholders... 9 Areas of impacts... 10 Cross-cutting nature of Digital science... 10 Summary of Digital science work landscape... 11 5.Conclusions... 12 Broad objectives for Digital science activities... 12 Proposed approach to Digital science in Horizon 2020... 12 Annex I : Digital science review of definitions Annex II : Digital science unit priorities for 2013

Digital science in H2020 Executive Summary Executive Summary Vision for Digital science Digital science means a radical transformation of the nature of science and innovation due to the integration of ICT in the research process and the internet culture of openness and sharing. It is more open, more global and collaborative, more creative, and closer to society. It relies on the use of e-infrastructures, i.e. ICT-based services and tools for data- and computing-intensive research in virtual and collaborative environments. Digital science makes it possible not only to perform research more efficiently but to transform science. However, there are specific policy challenges relating to harnessing its full potential: changing traditional research systems and cultures to better appreciate openness and collaboration; ensuring widest possible take-up by research organisations and different disciplines; addressing possible risks and negative effects. In DG CONNECT, Digital science development is being promoted by digital science coordination, e-infrastructures development and various research actions, with collaboration links to other Commission services. Through policy activities and research programme funding, DG CONNECT: i) supports developing digital science tools and practices; ii) supports digital science capacity in EU27, both in terms of e-infrastructures and human capital; and iii) provides leadership and guidance through policies for taking up Digital science practices and for ensuring that the related risks and challenges are addressed. By its nature, digital science cuts across different activities in DG CONNECT and beyond, and must be accompanied by active dialogue with all relevant stakeholders, in order to achieve improved impacts on science, society, policy and innovation. In the context of Horizon 2020, DG CONNECT can have a specific contribution to developing European capacity for future research by: i) ensuring that Horizon 2020 Work programmes develop tools and models (Objects of enquiry) that support development of Digital science; ii) encouraging Digital science in all Horizon2020 projects when applicable; iii) effectively sharing project outcomes and best practices for the research actors and policy makers.

Digital science in H2020 Executive Summary Proposed approach to Digital science in Horizon 2020 In order to support Digital science effectively and in a timely manner for Europe, it must be integrated into Horizon 2020. The Horizon 2020 programme should i) address the 'Objects of enquiry' recognised for advancing Digital science; and ii) mainstream Digital science through integrating it into the rules and guidelines for the Horizon 2020 projects. Addressing the Objects of enquiry DG CONNECT must ensure that the recognised Objects of enquiry for Digital science are addressed in the respective parts of the Horizon 2020 Work programmes as well as in the overall approach. Concretely, several CONNECT Work programmes will contribute to developing Digital science on different levels: Technologies and components for data gathering and networked systems Models, methods and tools for future research and information processing Platforms and infrastructures which can support collaborative research Innovations for Digital science, developing understanding of the related challenges The relevant work programme definitions should be open to proposals with specific contributions to Digital science, and the results should be effectively disseminated and shared among other projects and research stakeholders. In addition to developing these specific contributions, all CONNECT projects should apply Digital science as their working methods when relevant, and thereby contribute to developing best practices, uptake and skills for Digital science, and to engaging different stakeholders, including industry. Mainstreaming Digital science in Horizon 2020 In order to support the research actors to become aware of and benefit from Digital science approaches, all Horizon 2020 projects should be systematically encouraged to embrace Digital science, when appropriate. This mainstreaming of Digital science should be implemented through following operational means: 1) All grant agreements should include: A mandatory clause on Open Access to publications, and an obligation to ensure that all publications produced are linked to the OpenAire portal. Commitment to appropriate digital research data management, with considerations for its preservation, sharing and dissemination. Option for a special clause on Open Data Pilot. 2) The project proposals for all calls should be required to include in their submission: Where datasets are being produced, a Data Management outline, to describe initial planning for managing, storing and sharing digital research data and related metadata. Where appropriate, a description of the impact of the project on Digital science in the specific field, including the development of scientific open collaboration, futureoriented scientific skills, science-society interaction and uptake of e-infrastructures. 3) In the project implementation, the PO would ensure where appropriate: Awareness of the consortium of Digital science and its potential benefits. Inclusion of the digital research data management plan in the project deliverables. Monitoring and reporting on Digital science aspects of the project, such as: collaboration with the broader research community; citizen participation in research; dissemination to society; educational activities; OA publications; OA datasets, open code and algorithms made available by the project; and the (re)use of these by others.

Digital science in H2020 7 March 2013 1. Introduction Internet technologies, large-scale computing and storage resources, data search/retrieval tools, mobile devices, social media, and their high uptake among different groups of people have profoundly changed the ways knowledge is created, communicated and how it can be further deployed. They have made possible a radical transformation of the nature of science and innovation. This Digital science relies on the use of e-infrastructures, i.e. ICT-based services and tools for data- and compute-intensive research in virtual and collaborative environments, combined with an internet culture for openness and collaboration. The new tools and the new research cultures make it possible not only to perform research more efficiently but to create new types of science and research which is more open, more global and collaborative, more creative, and closer to society. However, there are specific policy challenges relating to harnessing the full potential of Digital science. It would require changing traditional research systems and cultures to better appreciate and reward openness and collaboration. In order to bring most benefits, it would require the widest possible take-up by European research organisations and different disciplines. It would also require recognising and addressing possible risks and negative effects of these new ways of doing research. Therefore, there is a need to support effective development and deployment of Digital science for achieving most benefits for science, society, policy and innovation in Europe. This paper presents a vision of Digital science for DG CONNECT, with proposed operational conclusions. The paper is based on literature review, a participative workshop organised in CONNECT on 19 November 2011, dialogue between CONNECT units, and on the feedback received from the CONNECT Management Team on the previous versions of the paper. The objective of this paper is to summarise the understanding of Digital science work areas and their relevance to CONNECT, with a concrete proposal for future action in context of Horizon 2020. The paper is divided into five Chapters. After this introduction, Chapter 2 describes the main aspects brought along with technologies that enable research to be more efficient, trustworthy and participative, with new interfaces to society. Chapter 3 outlines the potential of Digital science for science, policy, society and innovation, and challenges to making it happen. Chapter 4 describes the activities within CONNECT that link to the recognised Digital science aspects and perceived impacts. Chapter 5 concludes the paper by suggesting issues for future actions on Digital science in CONNECT, including a proposed approach to implement Digital science in the development of Horizon 2020 Work Programmes and the resulting projects. The paper includes also two Annexes: First annex presents the construction of the Digital science concept through literature review of relevant concepts; Second annex describes the current priorities defined for the CONNECT Digital Science unit. Page 1 / 14

Digital science in H2020 7 March 2013 2. Scope of Digital science Digital science is about the way research is carried out, disseminated, deployed and transformed by digital tools, networks and media. These issues are often also covered by concepts such as e-science, e-infrastructures, open science, science2.0, web science, or internet science. Digital science is a new term which does not yet appear in publications, in policy documents, or in research discussions. Adopting a new term makes it possible for the Commission to define its scope in the most meaningful way for promoting excellent science in the context of the Digital Agenda, Digital ERA and Horizon2020. However, it is important that the new concept takes into account all the issues typically covered in the concepts of e- science, e-infrastructures, open science and science2.0. An interested reader can find in the Annex of this document a review of those terms as a basis for understanding the scope of Digital science. Basically, these terms reflects how the possibilities for carrying out scientific activities have evolved with the development and take up of ICT networks, tools and media. Digital science work in CONNECT aims to have a holistic perspective that covers considerations of all these aspects, and reflects the need for policy efforts in order to harness the potential of Digital science for European society and its economy. Digital science relies on the combined effects of technological development and cultural change towards collaboration and openness in research. Digital science makes scientific processes more efficient, transparent and effective by new tools for scientific collaboration, experiments and analysis and by making scientific knowledge more easily accessible. At the same time, Digital science enables emergence of new scientific practices, disciplines and paradigms to respond to the new challenges through global distributed collaborations where citizens and society participate as contributors and direct beneficiaries of scientific knowledge. New methods for research ICT has changed the way scientific discoveries can take place. Communication, computing and data storage infrastructures enable new data- and computing-intensive research tasks and new tools enable virtual experiments which were not possible before. Data is being generated in large scale through images, sensors, simulations, logging of online human activities and all this can be stored for later processing, enabling new research e.g. in social sciences and human behaviour. Combining data from various sources and new types of data exploration and analysis tools enable new discoveries and recognising new research questions, e.g. in biodiversity and genetic research. Efficient computing resources, whether high-performance computers, computing grids and also cloud computing resources enable asking complex questions and developing models which require computing power for their testing and application. Virtual experiments in silico, remote access to specific equipment (e.g. robotic telescopes), and simulation environments enable experimentation-based research in new areas and for a wider audience. New access to research results and processes Open access to research results through digital means enables faster and wider diffusion of scientific knowledge. The philosophy of openness in Digital science is even more extensive, aiming at opening the whole research process and results for peers and public, through digital media and collaboration efforts. Page 2 / 14

Digital science in H2020 7 March 2013 Open access to research publications in open access journals or article repositories makes them freely available for anyone while new tools for citations, metadata and interoperability of repositories improve the discoverability of scientific knowledge on a new scale. Micropublications of specific pieces of scientific information make scientific knowledge accessible in new ways, through modern devices. Making research data underlying the research publications available enables reproducibility of the research by others, for verifying the results and reusing the data for new research purposes. Transparency of research improves through publishing experiments and research results which are not published in traditional science journals, e.g. results of clinical trials experiments which did not prove the expected hypothesis. New technological solutions combined with open access to research resources enable citations and cross-references between publications, data and authors in a way that enables new traceability of research evidence flows and creation of new connections between research topics and actors. These also enable new means for evaluating the value of science through following the reuse of the scientific work, replacing traditional publisher-based scientific value metrics by research-oriented ones. Opening up research resources facilitates scrutiny and feedback by peers and even the public already during the research process, enabling the research approach to be refined and improving quality through additional contributions. Collaboration in research Possibilities in research collaboration have changed dramatically through communication networks and social media, enabling completely new scales of scientific collaboration. Virtual collaboration between researchers and research organisations is today a necessary part of all scientific activities the grand challenges of today cannot be solved by any one scientist or single discipline alone. Setting up collaboration projects between researchers is supported through tools and online platforms which enable sharing data, research tools, project communication and collaborative knowledge creation in virtual research communities of global scale. New tools and platforms enable setting up large scale collaborations which can harness the collective intelligence of any interested actors. Embedding social media and social networking tools into research processes (e.g. opening notebooks, annotations) enables dynamic spontaneously arising collaborations in solving or addressing specific tasks. Informal collaborations are emerging in virtual communities of practice and through sharing personal knowledge resources which support knowledge and expertise flows in a networked system also outside specific research tasks, e.g. Mendeley 1 or ResearchGate 2 for researcher networking. Interaction with society Engaging citizens and society is possible in completely new ways, because of the new tools and platforms for research and increasing attitude towards openness. Citizens can and are interested in contributing to science both with their intellectual effort, observations and with their digital tools and resources, which creates new relationships between science and society. 1 http://www.mendeley.com/ 2 http://www.researchgate.net/ Page 3 / 14

Digital science in H2020 7 March 2013 Specific initiatives and networks make possible crowdsourcing of computing resources through easy interfaces for public (or even pre-installation as in case of BOINC in VAIO laptops), thereby enabling anyone to easily decide to contribute to science through their ICT resources. Engaging citizens in data gathering activities improves coverage of research data e.g. from more geographic areas, with more extensive samples or longer-term systematic data collection than would be possible by research groups alone. Also traditional forms of citizen science (e.g. bird watching), are made possible in completely new ways through online global communications. Several scientific initiatives are organised as collaborative initiatives that enable participation of citizens without in-depth scientific knowledge but with an interest to contribute to the joint activities through their intellectual effort, e.g. in form of image recognition, local context knowledge, or other intellectual efforts with essential additional contribution to professional researchers' work. Opening research results and processes through digital media and involving citizens as active participants in research processes rather than objects of research also promotes developing ethical and responsible research models where citizens and society both contribute to the results and shape the research process through proposing research ideas and comments on the results. Summary of Digital science aspects As seen above, all the Digital science aspects support each other, and contribute to the change of scientific practices. Figure 1 presents a summary of the main aspects with examples of their intersections. Figure 1 : Illustration of main elements of Digital science. Implementing Digital science strongly relies on e-infrastructure, especially for i) developing and sharing specific ICT tools for scientific tasks; ii) providing seamless online access to scientific resources, including publications and data; iii) providing and developing platforms and tools to enable large scale collaboration without the need for physical proximity. Complementarily, Digital science policies will ensure the wide and effective use of e- infrastructures in Europe. Page 4 / 14

Digital science in H2020 7 March 2013 3. Potential and challenges for Digital science The changes in digitally facilitated scientific processes are already taking place but unevenly in different disciplines and in different Member States, often through separate projects and initiatives (with possible duplication of effort), and taking different approaches (or none!) to IPR and privacy concerns relating to the new models of openness and collaboration. European action is necessary for supporting effective take-up of new research methods, tackling common challenges in the transformation of research organisations and scientific processes and ensuring that the concerns of European citizens as well as the concerns of innovative industries are being addressed. This section summarises the potential areas of impacts of Digital science practices and main challenges for this potential to become reality. Potential for Digital science Transformation of science. Digital science is about technology-enabled trends in the society and the economy, which promote transformation of the scientific system, democratizing access to research and creating new linkages between science, society, policy and innovation. Hierarchically organised and specialized scientific fields become more connected with each other and with application areas. This creates new multidisciplinary and interdisciplinary research, leading into emergence of new disciplines and connections to study emerging research questions and topics. Scientific practices become more efficient and trustworthy through openness that enables verifiability and transparency of research results, maintenance of proof linkages and new forms of incremental collaboration 3. Science quality metrics of the future can highlight replicability, verifiability and reuse of research results instead of publication channels. The old restricted and elite approach of science expands to a more egalitarian view of research, as scientific methods, processes and knowledge becomes more accessible to anyone through readily available tools. Learning about science becomes easier and science courses can include observation and participation in scientific communities allowing future researchers to get familiar with Digital science practices. Relationship between science, society and policy develops towards a new symbiosis and a topic of scientific study as such (cf. internet science). Through access to scientific information and processes citizens are aware of the potential and limits of scientific knowledge creation, and can participate in studying and monitoring issues relevant to them. Digital science for society. Opening access to research results and processes, and increased usage of social media for research purposes make it easier for anyone to access scientific knowledge and processes. This has the potential to improve the scientific literacy of citizens in general and improve interest and knowledge of young people in science and technology, despite their age, educational background, or socio-economic status. Participative Digital science approaches contribute to education, inclusion and employment, by supporting lifelong learning of several Key Competences, especially Science and technology, Digital competence, Social and civic competence, Sense of initiative and entrepreneurship. Moreover, Digital science has potential to re-attract young people and citizens at risk of exclusion into activities 3 Openness can tackle e.g. the problems of fraud as discussed in http://www.guardian.co.uk/science/2012/sep/13/scientific-research-fraud-bad-practice Page 5 / 14

Digital science in H2020 7 March 2013 which are personally meaningful to them, contribute to their learning and thereby inclusion in the information society and economy. Digital science for policy. Various aspects of Digital science improve its trustworthiness and availability of science for policy making. Furthermore, and more importantly, empowering citizens to access, understand and participate in scientific processes enhances their acceptance of policies which are based on scientific evidence and which enable citizen participation in their development and monitoring. Embracing the Digital science approach to policy making enables creating collaborative initiatives where policy makers collaborate with scientists and citizens in searching, developing and comparing options to solve global challenges. Involving citizens in the scientific development underpinning policy decisions also encourages their ownership and engagement in implementing social changes and policies for societal benefit. Digital science for innovation. New research tools and methods together with openness, collaboration and societal involvement in research provide research results more easily available for industry and SMEs. Furthermore, they provide models which can also be used for commercial innovation (open innovation platforms) or for collaborative product and service development based on user innovations and contributions (see e.g. LEGO Mindstorms 4 ). Improved access to research results can be a driving force for innovation especially in developing regions and countries, but also participation in collaborative research applying Digital science philosophy can also provide benefits for commercial actors. Digital science enables efficient collaboration with a large group of collaborators from various backgrounds, generating ideas which can be developed into commercial products although basic research is done in the public domain (similar to Open Source software development). Figure 2 : Vision for Digital science 4 http://mindstorms.lego.com/ Page 6 / 14

Digital science in H2020 7 March 2013 Challenges for Digital science Although there are many potential benefits of Digital science approaches, and successful examples of their application, transformation is not taking place equally in all organisations and disciplines, for various reasons. In some disciplines, the benefits of Digital science practices are more obvious than in others. Some fields are already advanced (e.g. astronomy) while others are lagging behind (e.g. social sciences). Further analysis of disciplinary dynamics and the specific benefits Digital science aspects could provide them is needed. Openness of research publications and results is a recognized objective but often difficult to implement by researchers, who do not necessarily have the freedom to select in which journals their results are published. Their performance for career development may be evaluated based on metrics contrary to the objectives of openness. Researchers may not be convinced of the benefits of opening results and processes with only a vague view of future benefits and no guarantees of reciprocity. Furthermore, there is a tension in the objectives of publishing new results first against collaborating and opening ongoing research processes, especially when concerning innovation and product development for business. It is challenging to develop open collaborative scientific initiatives where various types of actors, including citizens, can participate. The initiative should at the same time provide personal value for the different types of participants who are investing their personal time and effort, and ensure the scientific value of the results. Therefore, careful planning of quality assurance aspects, scientific knowledge and skills development, and motivational elements is crucial for creating successful and sustainable open research collaborations. These challenges play a major role in hindering the take-up of new scientific practices in some disciplines, organisations and geographical areas. As described earlier, Digital science is not only the take-up of technologies but also a change in scientific culture. This would require changes in the institutional practices in the research institutions (e.g. career paths and incentives) and exploration of how open innovation and research collaboration practices can improve competitive position in industry. This cultural change will not take place if there are no good examples, leaders and/or perceived benefits. Therefore, considering these issues must be included in the CONNECT work for supporting Digital science. Figure 3 : Challenges for Digital science Page 7 / 14

Digital science in H2020 7 March 2013 4. Digital science in CONNECT Some of the aspects and objectives of Digital science are included in CONNECT current activities and future perspectives, visible in the FP7 work programmes and brought up in the Digital science workshop discussions in CONNECT on 19 th November 2012. Activities aim at supporting development of Digital science practices, addressing related challenges and engagement of stakeholders through policies, R&D projects and support actions. Different types of activities include, for example: Projects developing and piloting new approaches (FP7, CIP PSP, FET flagships) Projects supporting research tools and e-infrastructures development and provision (FP7) Projects, studies and networks supporting understanding of Digital science and related challenges (FP7, Digital's SSH network) Policies on promoting and enhancing specific aspects relating to Digital science (Open Access, Open Data, Digital ERA) or addressing related challenges, (IPR, privacy, digital literacy) Projects to support engaging citizens in research and learning about science (FP7) Platforms and initiatives to support stakeholder interaction on policy and science development (Digital Futures, FP7, EIP on AHA) Digital science as outlined in the previous section, and developed in Annex, forms the basis to consider the aspects of Digital science which are relevant for the work of CONNECT. This section describes ongoing work relating to Digital science in CONNECT, using a framework with three main categories: Objects of enquiry, Stakeholders and Areas of Impacts. Objects of enquiry Digital science work issues for CONNECT relate to all the main aspects (new research methods, access to research results, collaboration, interaction with society) in a cross-cutting way. Digital science relates to several policy areas, where technologies and networking can be applied. Some of its aspects are explicitly mentioned (especially Open Access) in the current policy framework, and others contribute indirectly to the higher level goals and objectives. European action is needed to support national policies and actors with ICT-related development by: Developing tools and models for Digital science. FP7 projects on various work programmes and CIP projects support development of Digital science tools and practices with applicability to various research topics: Experimental approaches and research tools, e.g. autonomous software, large scale experiments (C2:FET, E3:Net Innovation) Collective awareness platform development (E3:Net Innovation) Research collaboration models and tools for citizen engagement (C3:Digital Science, C2:FET, C4:Flagships) Data infrastructures and essential supporting elements such as metadata, citation models, author and object identifiers (C1:e-infrastructures, C3:Digital Science) Supporting European capacity for Digital science. FP7 projects (STREPs, CSAs) and other activities aim at developing and supporting the capacity of stakeholders to engage in Digital science practices: Pooling and development of main e-infrastructures in Europe for research services and research repositories, including publications and data (C1:e-infrastructures) Page 8 / 14

Digital science in H2020 7 March 2013 Transnational access to digital research services and collaboration opportunities for all researchers, whether public, private, or amateurs (C1:e-infrastructures, C3:Digital Science) Awareness and skills for Digital science among existing and potential future researchers, research funders, research infrastructure actors (C3:Digital Science, C1:einfrastructures) Research and innovation support in service-oriented architectures, cloud computing strategy (E2:Software & services, cloud) Addressing risks and challenges. Several policy and support activities aim to address the uncertainties, risks and challenges to harnessing the potential of Digital science: Improving the theoretical understanding of Digital science including social sciences aspects (E3:Net Innovation; Digital's SSH network) Monitoring Digital science status development and barriers among stakeholders in Europe, maintain a dialogue in order to take into account their concerns into account (C3:Digital Science, D4:Stakeholders) Policy leadership and support for transformation from closed research models to openness through Open access policies, new incentive systems, science metrics (C3:Digital Science, G3:Data value chain) Addressing needs to revise IPR rules for enabling research on digital research results (e.g. data mining), licenses relating to research data sharing and publication (G1:Converging media & content, C3:Digital Science) Stakeholders The stakeholders for Digital science are the groups concerned by Digital science approaches. The supporting unit in CONNECT for stakeholder engagement is D4 Stakeholders, and other units have specific activities, as demonstrated by the examples below. Research actors, including research organisations, research funding organisations, national infrastructure providing organisations, learned societies, networks of academies, disciplinary and interdisciplinary research communities and the emerging informal researcher communities of practice. ERA stakeholder platform Open access and Digital ERA aspects (C3:Digital Science in collaboration with RTD.B1) e-irg, e-infrastructures reflection group (C1:e-infrastructures) International working group for new skills and careers needs (C1:e-infrastructures) Policymakers, including national R&I policies, all science-based policy fields in national and EU level, other Commission DGs with potential for Digital science support for policy making. e-ipf, e-infrastructures policy forum to exchange and follow up development of e- infrastructures and Digital science in EU27 (C1:e-infrastructures, C3:Digital Science) Follow-up and participation to relevant policy discussions in Council and Parliament (all policy units) GSS application with other DGs, e.g. CLIMA, SANCO (C3:Digital Science) Industry, including publishing industry, commercial research infrastructure and service providers, research performing industry (including SMEs), ICT industry. e-irg, e-infrastructures reflection group (C1:e-infrastructures) European Innovation Partnership on AHA (H2:Digital Social Platforms) Page 9 / 14

Digital science in H2020 7 March 2013 Society, including NGOs, citizens (highly/lowly educated, employed/unemployed i.e. both those who are well-off and those at risk of exclusion), young people (at schools and outside), public intermediaries (institutions for education, health, employment). e-practice platform (H3:Public Services) Telecenters, Safer internet centers (G4:Inclusion, Skills and Youth) European Innovation Partnership on AHA (H2:Digital Social Platforms) Areas of impacts As described in Chapter 3, Digital science is perceived to have an impact on the overall scientific system and its links to society, policy and innovation. In addition to the CONNECT activities mentioned above, there are specific activities targeted to supporting these impacts, again through both policies and projects. Applying and experimenting Digital science approaches in different disciplines. Research community-driven development of virtual collaboration platform of specific topics and disciplines (C1:e-infrastructures) Large scale pilots on experimentally-driven research and open research collaborations in biomedical and clinical research (E3:Net Innovation, C3:Digital Science) Discipline specific experiments such as robotic DNA experiments in biomedical sciences (C2:FET), Virtual physiological human (H1:Health and Well-being) Bridging science and policy. Global systems science approach to policy making (C3:Digital Science) Multistakeholder dialogue platform for future vision development (Digital Futures, C4:Flagships) Engaging social change by improving the collective awareness of citizens (C3:Digital Science, E3:Net innovation) Bridging science and society. Improving the awareness and trust of citizens in science through supporting citizen science development (C3:Digital Science, C2:FET) Improving science visibility in the media (C1:e-infrastructures, C3:Digital Science) Linking scientific communities into learning science at schools and universities through ICT (C3:Digital Science, G4:Inclusion, Skills and Youth, C1:e- Infrastructures) Bridging science and innovation. Industry participation in CIP PSP pilots on open access models (C3:Digital Science) Harmonising acceptable usage policies for research collaboration on shared ICT platforms and infrastructures (C1:e-infrastructures, C3:Digital Science) Cross-cutting nature of Digital science This section has described linkages to Digital science within CONNECT. The analysis in this paper is based on the CONNECT workshop inputs and review of units' priorities. Another important aspect in Digital science work is the recognition of its cross-cutting nature not only between CONNECT units and directorates but also within the Commission as a whole. DG RTD is the most important counterpart for collaboration on this matter, but also for example DG EAC work topics have relevance for Digital science development. Figure 4 gives an illustration of linkages between Digital science related work portfolios. Page 10 / 14

Digital science in H2020 7 March 2013 Figure 4 : Examples of Digital science related aspects in different work portfolios. This preliminary analysis provides starting points for recognizing Digital science areas which are covered, where further collaborations should be explored, and where specific attention might be needed. Summary of Digital science work landscape Figure 5 summarises the Digital science work landscape as presented in this paper. Figure 5 : Digital science landscape. Page 11 / 14

Digital science in H2020 7 March 2013 5. Conclusions The changes in digitally-facilitated scientific processes are already taking place but unevenly in different disciplines and in different Member States, often through separate projects and initiatives (with possible duplication of effort), and taking different approaches (or none!) to IPR and privacy concerns. European action is necessary for supporting effective take-up of new research methods, tackling common challenges in the transformation of research organisations and scientific processes and ensuring that the concerns of European citizens as well as the concerns of innovative industries are being addressed. As reviewed in Chapter 4, CONNECT activities are addressing several Digital science aspects already. However, further work is needed, and establishing collaborations with other actors and services is important for achieving the best impact. This section outlines issues that have been recognised as important and consequently proposes an approach for CONNECT-wide work on addressing Digital science development in the context of Horizon 2020. Broad objectives for Digital science activities Recognise, support and upscale success in most promising areas. It is important to explore and improve understanding of where Digital science approaches benefit the topic and where they may not be applicable. The areas of most potential benefit should be prioritized in project and policy support activities. Attention should be put to recognizing successful research groups and small initiatives to increase scale and/or complement large-scale actions. Deploy Digital science for addressing today s challenges. Necessity drives effort and innovation. Millions in Europe are in need of jobs, education, and a sustainable lifestyle. Digital science should be concerned with finding answers to these questions in efficient, effective and participative ways. Consider possible risks and negative impacts of Digital science. Although ICT-based models and simulations offer new approaches to science, it is important not to forget observations as the basis of science, e.g. in social and biospheric sciences. A critical perspective must be maintained in supporting Digital science development and expansion, and to keep eyes open for emergence of other promising paradigms. Ensure connections and considerations for all stakeholders. Mapping of current activities suggests that there may be stronger links towards academic research stakeholders than other stakeholder groups. It is important to ensure that CONNECT has good connections and linkages to all stakeholders, including society and industry, and that their considerations are included in the Digital science support activities. Collaboration with other relevant European services must be established for ensuring good coordination of activities. Proposed approach to Digital science in Horizon 2020 This paper has recognised Digital science as an issue which needs both policy and operational dimensions in the work of DG CONNECT. In order to support Digital science effectively and in a timely manner for Europe, these must be integrated into Horizon 2020. Horizon 2020 programme should i) address the 'Objects of enquiry' recognised for advancing Digital science; and ii) mainstream Digital science through integrating it into the rules and guidelines for the Horizon 2020 projects. In order to achieve the most impact of these measures, they must be accompanied with support actions for effective best practice sharing and dissemination of the projects' results. Page 12 / 14

Digital science in H2020 7 March 2013 Addressing the Objects of enquiry DG CONNECT must ensure that the recognised Objects of enquiry (summarised in Figure 5) for Digital science are addressed in the respective parts of the Horizon 2020 Work programmes as well as in the overall approach. This requires effective coordination within CONNECT and analysis of the relationships between the different work programme areas and their relevance to Digital science. Concretely, several CONNECT Work programmes will contribute to developing Digital science on different levels: Technologies and components for data gathering and networked systems Models, methods and tools for future research and information processing Platforms and infrastructures which can support collaborative research Innovations for Digital science, developing understanding of the related challenges The relevant work programme definitions should be open to proposals with specific contributions to Digital science, which should be effectively disseminated and shared among other projects and research stakeholders. In addition to developing these specific contributions, all CONNECT projects should apply Digital science as their working methods when relevant, and thereby contribute to developing best practices, uptake and skills for Digital science, and to engaging different groups of stakeholders, including industry. Figure 6 presents an initial mapping of how different CONNECT Horizon 2020 Work Programmes can contribute to Digital science. Figure 6 : Mapping of Digital science objects of enquiry to CONNECT H2020 Work programmes. Mainstreaming Digital science in Horizon 2020 In order to support the research actors to become aware of and benefit from Digital science approaches, in the context of Horizon 2020, the projects should be systematically encouraged to embrace Digital science. This should be supported through compulsory requirements Page 13 / 14

Digital science in H2020 7 March 2013 introduced in the grant agreement and evaluation criteria for the projects, guiding documents for the proposers, as well as through supporting ICT tools and e-infrastructures. The objectives in all CONNECT Horizon 2020 Work programmes should be to encourage projects to implement Digital science approaches (when appropriate): to systematically make use of and contribute to e-infrastructures; to embrace open and collaborative research approaches, by sharing research data, tools and results and collaborating with broader research community, i.e. including scientific actors outside the project partner organisations; to embrace ICT tools as an interface between scientific community and its stakeholders in policy and society, explore citizen participation and invest in dissemination and educational activities; to become aware of the Digital science related policies (e.g. Open Access) and challenges (e.g. comprehensive Data management plans), implement them within the project activities and promote them in institutions also outside the project; to report both success stories and specific challenges on embracing Digital science practices by individuals, organisations and in different disciplines. This mainstreaming of Digital science should be implemented through following operational means: 1) All grant agreements should include: A mandatory clause on Open Access to publications, and an obligation to ensure that all publications produced are linked to the OpenAire portal. Commitment to appropriate digital research data management, with considerations for its preservation, sharing and dissemination Option for a special clause on Open Data Pilot 2) The project proposals for all calls would be required to include in their submission: Where datasets are produced, a Data Management outline, to describe the initial planning for managing, storing and sharing digital research data and metadata. Where appropriate, a description of the impact of the project on Digital science in the specific field, including the development of scientific open collaboration, futureoriented scientific skills, science-society interaction and on uptake of e-infrastructures. 3) In the project implementation, the PO would ensure: Awareness of the consortium of Digital science and its possible benefits for the project. Inclusion of the digital research data management plan in the project deliverables, with regular updates. Monitoring and reporting Digital science aspects of the project, such as: research participation by the broader research community, citizen participation to the scientific activities, dissemination to society, implementation of educational activities, OA publications, OA datasets made available with metadata, open code and algorithms made available by the project and the (re)use of these by others. Adopting this approach requires specific guidance documents to be prepared for proposers and for the POs, including issues such as IPR agreements with publishers and the use of DOIs (digital object identifiers). These should be developed through collaboration between CONNECT operational units, and be supported by training and information workshops. Page 14 / 14

Digital science in Horizon2020 Annex I: Review of definitions Annex I : Digital science Review of definitions There are several definitions relating to digital science, complementing and overlapping with each other in various ways. This paper aims to provide an overview of main terms by illustrating how the development of definitions relating to ICT-enabled scientific processes reflects the take up of technologies for scientific processes. The objective is not to find the perfect definition for each of the terms, but rather to map the overall landscape of digitally enabled research and scientific practices that should be considered when discussing the contents and elements of Digital science today. Science An example of the basic definition of science is provided by Merriam-Webster dictionary 5, where science is defined as: 3a : knowledge or a system of knowledge covering general truths or the operation of general laws especially as obtained and tested through scientific method 3b : such knowledge or such a system of knowledge concerned with the physical world and its phenomena In other words, science can be both considered as related to specific fields relating to studying the physical world (natural science) or as a general mode of solving problems and obtaining knowledge through the scientific method. The scientific method is defined 6 as: principles and procedures for the systematic pursuit of knowledge involving the recognition and formulation of a problem, the collection of data through observation and experiment, and the formulation and testing of hypotheses Although some Science definitions consider science as strictly related to the physical world (natural science), it is becoming common to refer also to other fields as Science. Wikipedia 7 lists as recognised science fields: natural science (study of natural phenomena), social sciences (study of societies), behavioural sciences (study of human behaviour), applied sciences (engineering and medicine) and formal sciences (mathematics, statistics, logic). According to this collectively developed definition, Science" may refer to any knowledge which has been reduced to an algorithmic system, and even technical arts have some overlapping with science. e-science and related terms Jankowski (2007) gives a good overview of the terminologies used at that time for reflecting the take up of ICT in research. The first term to have emerged seems to be cyberscience, first suggested in 1996 and advocated later by Nentwich (2003) through his investigation on how computers and electronic networks are impacting science. He defined cyberscience as "all scholarly and scientific research activities in the virtual space generated by the networked computers and by advanced information and communication technologies in general" (2003, p. 22). However, this term was not taken up widely. 5 http://www.merriam-webster.com/dictionary/science, accessed 24 th September 2012. 6 http://www.merriam-webster.com/dictionary/scientific%20method, accessed 24 September 2012 7 http://en.wikipedia.org/wiki/science_%28disambiguation%29, accessed 24 September 2012 Page 1 / 8

Digital science in Horizon2020 Annex I: Review of definitions The term e-science was introduced in the UK in 1999 in the context of launching a major funding programme, initially focusing on natural and biological sciences, and aimed at processing large volumes of data (Jankowski, 2007). The e-science centre established to support the UK e-science programme defines e-science in its website 8 : In the future, e-science will refer to the large scale science that will increasingly be carried out through distributed global collaborations enabled by the Internet. Typically, a feature of such collaborative scientific enterprises is that they will require access to very large data collections, very large scale computing resources and high performance visualisation back to the individual user scientists. Processing large data Distributed researcher collaboration This focus on data-intensive research tools and methods is still often connected to the e- science term, and even considered as the main issue of the current scientific developments, e.g. in the fourth paradigm for scientific exploration (Hay et al. (2009)). Another way to refer to e-science is to consider it as the exploitation of ICT research tools and infrastructures. This was the approach taken in the 2009 Communication: The emergence of new research methods that exploit advanced computational resources, data collections and scientific instruments, in other words e-science. 9 And the Australian term e-research 10 was defined in 2006 as follows: The term e-research encapsulates research activities that use a spectrum of advanced ICT capabilities and embraces new research methodologies emerging from increasing access to: - broadband communications networks, research instruments and facilities, sensor networks, data repositories with their associated data standards and management tools, and high performance computing resources; - software and infrastructure services that enable a trust and sharing relationship to be established between researchers and the wide variety of data repositories, computers, systems and networks on which they depend; and - application and discipline-specific tools such as graphics intensive visualisation, simulation software, and interaction tools that provide the human interface allowing researchers to interact with each other and with their instruments, computational facilities and data resources." High-performance computing Scientific e- infrastructure Scientific software and tools In the US, the term cyberinfrastructure is used since the (Atkins, 2003) report Revolutionizing Science and Engineering Through Cyberinfrastructure". In Europe, the term e-infrastructure is often used in a similar way. The recent GEANT expert group report (2011) 11 summarises: Science is reorganising itself as a response to powerful new data, communication and computing possibilities. One additional aspect is worth noting. Although science as such is typically considered to exclude humanities, e-science and related terms often include them as well. The term highlights the application of ICT-based research methods, high-performance computing and data-intensive processing, for whichever research field. Actually, applicability to various disciplines and the possibility to create new multidisciplinary collaborations through e-science 8 http://www.nesc.ac.uk/nesc/define.html, accessed 24 September 2012 9 COM(2009) 108 final 10 http://ncris.innovation.gov.au/documents/erccreport.pdf, accessed 24 September 2012 11 http://cordis.europa.eu/fp7/ict/e-infrastructure/docs/geg-report.pdf, accessed 24 September 2012 Page 2 / 8

Digital science in Horizon2020 Annex I: Review of definitions is an emerging aspect in later definitions. For example, the Netherlands e-science center defines escience as follows: When they hear the term escience, a lot of people immediately think of electronic in the service of science, but the e in fact stands for enhanced, for enhancement and innovation in science. The Center aims to enhance scientific and scholarly endeavor, for example by deploying advanced Big Data analysis tools and ICT methods Increased interdisciplinarity from other scientific disciplines for research purposes. It will also help researchers use the various tools in an innovative and creative manner. So escience also encourages interdisciplinarity, making it logical for SURF and NWO to tackle this venture together. 12 Open science As seen above, e-science and its sister terms highlight the usage of ICT tools, networks and infrastructures for data-intensive research and collaboration between researchers. New terms have emerged to reflect the changes in scientific processes and attitudes made possible by the networking opportunities provided by the immediate access to research collaborators in global scale, as opposed to following traditional and more closed research models. These newer terms have not yet been adopted by public organisations and policy documents, but are developed and used by research communities and initiatives. Nielsen (2012) uses the term networked science to highlight the new possibilities for scientific discovery through networked collaboration on the basis of opening data and research processes. He sees three main aspects in this Networked collective transformation: networked tools amplifying collective intelligence and intelligence enabling new collaborative knowledge creation; making meaning in new ways through the knowledge emerging from vast amount of data; Data-driven changed relationship between science and society. However, he sees the research lack of openness in the access to scientific results, data and processes, as major obstacles to the potential of networked science, and advocates Transparency of research methods "open science". There are various definitions to "open science", highlighting the main objective to openly share the scientific knowledge of all kinds from early on in the discovery process. The OpenScience project defines 13 four fundamental goals for the movement: Transparency in experimental methodology, observation, and collection of data. Public availability and reusability of scientific data. Public accessibility and transparency of scientific communication. Using web-based tools to facilitate scientific collaboration. Public availability and reusability of scientific data Open access scientific communication Web-based open scientific collaboration The European Commission has also a linkage to the terminology of open science, through the support Neelie Kroes gave to the ALLEA (All European Academies) declaration on Open Science in April 2012. 14 This declaration states "Open Science envisages 12 http://www.esciencecenter.com/, accessed 24 September 2012 13 http://www.openscience.org/blog/?p=269, accessed 24 September 2012 14 http://www.allea.org/content/allea/general%20assemblies/general%20assembly%202012/openscience%2 0Rome%20Declaration%20final_web.pdf, accessed 24 September 2012. Page 3 / 8

Digital science in Horizon2020 Annex I: Review of definitions optimal sharing of research results and tools: publications, data, software, and educational resources". It highlights three necessary aspects for realising the vision of Open Science: Open Scientific Content arising from publicly funded research Open e-infrastructures for public and private research Open Science Culture As new aspects to the previous definitions, the "open science culture" dimension highlights the necessity to change academic assessment and reward systems to reward participation in the culture of sharing, in enabling online collaboration and reproducible e-science. It is also hoped that the young will find inspiration for new discoveries and entrepreneurship, joining the ranks of scientists, engineers and innovators in greater numbers. Science 2.0 Science 2.0 is another term without a clear definition but with some usage in online discussions. It is less used than Open Science, but refers to the same openness during all the scientific process, emphasising the web2.0 tools as the means for open collaboration, between all interested participants, whether scientists or amateurs. Burgelman et al. (2010) defined science2.0 to be the change in science coming from the trends created by collaborative online tools and open scientific models: increased number of scientific authors (both professional and amateurs); increased number of scientific publications (different types of intermediate and discussion outputs in addition to traditional scientific papers); increased amount of data and its processing through the new availability of data from both official and unofficial sources. This approach is similar to the Open Science discussion, highlighting the way web2.0 tools can be integrated in the open scientific collaboration processes. Recently, this work has progressed through a study report Large number and diversity of scientific actors Publishing intermediate research outputs New variety of data sources being prepared for DG RTD (with contributions also from DG CONNECT). This study gathered data on the current key trends that are affecting science and research and aimed to explore their implications to science and research, and to the related policies. In the final results of the study, they summarised how web2.0 tools and the web2.0 "attitudes" can link to various phases of the research cycle (see Figure 7). Page 4 / 8

Digital science in Horizon2020 Annex I: Review of definitions Figure 7 : Science 2.0 trends in the research cycle (source: study by tech4i for RTD) This Science2.0 study gathers together many aspects of the already existing discussions on escience and Open Science, but also bring forward a couple of new aspects. The study summarises as main trends of science 2.0: Open collaboration Citizen science Open data Reproducibility and open code Open access [to publications] Data-intensive science Open innovation Sharing code and research tools Open innovation New science metrics and reputation systems As weak emerging signals, the study lists new measures of scientific excellence and reputation management, open annotation, nanopublications and liquid publications. These can be considered to demonstrate "informalisation" of researcher collaboration. Web2.0 tools and attitudes make it possible to have scientific collaborations outside specific research projects, through sharing resources and knowledge in informal communications, breaking the boundaries between work and leisure. As is happening in other professional and non-professional fields, online communities of practice (see characterisation in Ala-Mutka (2010)) are becoming a new form of support for researchers, to share and discuss their ideas, exchange work tools, bibliographies, lab books, opinions of other research works around common researcher interests. These are loose Sharing personal research resources (bibliographies, annotations) Communities of Practice structures where anyone (whether professional or amateur) can join as a contributing participant, or just follow the contributions of others. These open networked settings become informal peer support and review systems for research, which support developing research practice, setting up new research projects, recognising relevant contacts/resources, and the personal development of the researchers. Page 5 / 8

Digital science in Horizon2020 Annex I: Review of definitions Digital science Digital science should take into account all the issues covered in the concepts of e-science, e- infrastructures, open science and science2.0, as topics to be considered in the policy making. Different terms have been reflecting the development of new possibilities to carry out scientific activities with ICT, including previous issues and adding a new layer. Digital science is the new growth to science and research coming from all the existing and the new, continuously developing possibilities brought by communication networks, digital availability of scientific content and new activities and interactions enabled by technologies. Figure 8 : ICT-enabled extension of scientific processes towards Digital science. The various concepts reviewed above, highlight three main perspectives and important constituents of Digital science (depicted in Figure 9): New ICT-enabled methods have changed the way scientific discoveries can take place. Communication, computing and data storage infrastructures enable data- and computing-intensive research tasks which were not possible before, and new means to generate and explore data which enable scientific discovery. Specific scientific software enables new field-specific research methods and new platforms provide opportunities to manage and generate large collaborations, also through social media. Emerging tools support the generation of new scientific metrics and reputation systems as meta-level support for scientific processes. Openness of research has become a recognised objective in enhancing the value of scientific knowledge by ensuring its accessibility for all through online media, which also contributes to the quality, transparency and reproducibility of research results. This includes open, immediate and free access to scientific papers, underlying research data, as well as the software and models used for results generation. Later trends highlight opening up also research process materials as knowledge resources for further scientific activities, through publishing intermediate results, lab books, and personal research knowledge and work resources. Collaboration in research has changed dramatically through communication networks and social media, enabling completely new scales of scientific collaboration. Remote collaboration between researchers and research organisations is today a necessary part of all scientific activities, increasing interdisciplinary research projects with global teams. Furthermore, scientific collaborations are developing towards large scale projects which enable open participation of any interested actors, harnessing the collective intelligence of both professional and amateur researchers. Openness of research processes enables dynamically created collaborations in solving specific Page 6 / 8

Digital science in Horizon2020 Annex I: Review of definitions scientific tasks and online communities of practice support and link research actors also outside specific research tasks. High-performance computing Processing large data Scientific software and tools Data-driven research New variety of data sources New science metrics and reputation systems Open access scientific communication Transparency of research methods Public availability and reusability of scientific data Publishing intermediate research outputs Sharing code and research tools Distributed researcher collaboration Increased interdisciplinarity Networked collective intelligence Web-based open scientific collaboration Large number and diversity of scientific actors Open Innovation Sharing personal research resources and knowledge (CoP) e-science Open Science Science2.0 Figure 9 : Elements of ICT-enabled scientific processes for Digital science. Two important aspects underlying and following this concept are: 1) Digital science is strongly based on e-infrastructures, for i) developing and sharing specific ICT tools for scientific tasks; ii) providing seamless online access to scientific resources, including publications and data; iii) providing and developing platforms and tools to enable large scale collaborations without the need for physical proximity. E-infrastructures play an essential role for implementing and widening Digital science policies and practices in EU27, and need Digital science work for driving the scientific development enabled by the technologies. 2) The "Openness of research" and "Collaboration in research" dimensions are making it possible to involve society and citizens in scientific research and scientific discussions in new ways. Citizen participation can be a part of global scientific initiatives, which can also be initiated by the citizens and amateur scientists themselves. In this way, new ways of engaging citizens into scientific processes is becoming a new tool and method for research itself. Furthermore, opening access to and better communicating scientific knowledge is not important only for scientists but enables citizens to be better informed of scientific advances and thereby more confident on science-based decision making. Therefore, science-society interaction should be considered as an important dimension of Digital science. Page 7 / 8

Digital science in Horizon2020 Annex I: Review of definitions References Ala-Mutka, K. (2009). Review of Learning in ICT-enabled Networks and Communities. JRC Scientific and Technical Reports, 24061 EN, European Commission, JRC, Institute for Prospective Technological Studies. Retrieved September 24, 2012 from http://ipts.jrc.ec.europa.eu/publications/pub.cfm?id=2721 Atkins, D. E., Droegemeier, K. K., Feldman, S. I., Garcia-Molina, H., Klein, M. L., & Messina, P. (2003). Revolutionizing Science and Engineering through Cyberinfrastructure: Report of the National Science Foundation Blue-Ribbon Advisory Panel on Cyberinfrastructure. Washington, DC: National Science Foundation. Retrieved September 24, 2012 from www.nsf.gov/cise/sci/reports/atkins.pdf Burgelman, J.-C., Osimo, D. & Bogdanowicz, M. (2010). Science 2.0 (change will happen...), First Monday, 15(7). Retrieved September 24, 2012 from http://firstmonday.org/htbin/cgiwrap/bin/ojs/index.php/fm/article/viewarticle/2961/2573 Fitzgerald, B. (eds.) (2008). Legal Framework for E-Research: Realising the Potential. Sydney University Press. Retrieved September 24, 2012 from http://eprints.qut.edu.au/14439/1/14439.pdf Hay, T. & Trefethen, A. (2002). The UK e-science Core Programme and the Grid. Future Generation Computer Systems 18, 1017 1031. Elsevier. Retrieved September 24, 2012 from http://eprints.soton.ac.uk/257644/1/ukesciencecoreprog.pdf Hay, T., Tansley, S. & Tolle, K. (eds.) (2009). The Fourth Paradigm: Data-Intensive Scientific Discovery. Retrieved September 24, 2012 from http://research.microsoft.com/enus/collaboration/fourthparadigm/ Jankowski, N. W. (2007). Exploring e-science: An introduction. Journal of Computer- Mediated Communication, 12(2), article 10. Retrieved September 24, 2012 from http://jcmc.indiana.edu/vol12/issue2/janakowski.html Nielsen, M. (2012). Reinventing discovery: the new era of networked science. New Jersey: Princeton University Press. Nentwich, M. (2003). Cyberscience: Research in the Age of the Internet. Vienna: Austrian Academy of Sciences. Retrieved September 24, 2012 from http://hw.oeaw.ac.at/3188-7 Page 8 / 8

Digital science in Horizon 2020 -- Annex II: CONNECT Digital Science Unit priorities Annex II : Digital Science Unit priorities for 2013 Digital science touches upon various activities relevant for CONNECT, not being specific to only one sector or to one discipline. Therefore, there is a need for a holistic view in its coordination to ensure effective linkages and promotion of all relevant aspects, and to be proactive in the policy and stakeholder communication. In CONNECT, the unit Digital science aiming to ensure that Digital science challenges are addressed effectively, in good collaboration with all the relevant actors. This section describes briefly the different priorities with which the Digital Science unit started its work in 2012. The priorities will be reassessed in 2014, according to the development of the Digital science landscape and the need for actions at that point in time. The lead indicator for the unit work in 2013 is to follow the take-up of digital science practices (number of Member States with national policies or strategies on digital science). Priority 1: Open Access to scientific information Our vision is that research results, including both peer-reviewed publications and research data collections, must be circulated rapidly and widely, using digital media. This accelerates scientific discovery, enables new forms of data-intensive research and allows research findings to be systematically taken up by European business and industry. This approach is crucial in the context of the Europe 2020 strategy for a smart, sustainable and inclusive economy underlining the central role of knowledge and innovation in generating growth. The internet and the emerging infrastructures for scientific information should give researchers across the world access to the latest research results. There are, however, barriers in place that need to be tackled in order to fulfil the vision of open access to scientific information. Publications: Further access to and use of scientific publications is currently limited because of high and increasing prices of journals, a problem that will grow because of the reduced budgets of libraries due to the financial crisis. The underlying issues are the funding of research dissemination and the viability of traditional publishing models in the internet age. Publishers and scientists should agree on the way forward reconciling the interests of all different stakeholders. The objectives are to require open access to publications as a general principle for Horizon2020. Data: Currently, research data is currently not made widely available online. When it is made available, it is often not presented in a format that facilitates (re)use. This obstructs knowledge diffusion and results in a huge loss in efficiency of research investments. Open access to data should be promoted, but with due concern to ethical, privacy, security and commercial interest aspects. The objective is to launch in Horizon2020 a pilot action on Open Access to Data, with possibilities for exceptions where necessary. Page 1 / 5

Digital science in Horizon 2020 -- Annex II: CONNECT Digital Science Unit priorities The goals and targets of this priority are shared with other units in the Commission working on open access, in particular CONNECT.C1 and RTD.B6. Expected outputs relate to the rules and activities on open access to be established in Horizon 2020. This priority aims at contributing to the Open Access policy objectives stated in DAE, IU and ERA communication, and contributes to the high-level policy targets of Member States strengthen and/or develop policies on open access and related issues (reporting to EC) Member States and EC work towards drawing up common principles and standards on open access and related areas Currently, in this area, the unit is following up on the actions announced in the July 2012 Scientific Information package. The current focus is on securing a sound legal basis for open access in Horizon2020, in particular in the Rules for Participation, in the Specific Programme and in the Framework Programme itself. The EC is actively engaged in talking to Member State representatives, MEPs and opinion leaders who can influence this political debate. After Horizon2020 is in place, open access work in the Commission will move to working on the implementation of its proposals. Specific areas requiring attention are the setting of a postproject funding possibility for gold open access, drafting legal language for self-archiving (green open access), and a pilot on open access to data. Page 2 / 5

Digital science in Horizon 2020 -- Annex II: CONNECT Digital Science Unit priorities Priority 2: Citizen engagement and Digital science uptake Technologies have transformed the way research can be done, shared and disseminated, enabling virtual research communities in global scale in order to combine knowledge, effort and ideas of interested participants from various backgrounds, organisations and skills levels. This can be used both to improve the efficiency of scientific processes among researchers and to engage society into scientific processes in new ways. Harnessing the potential of digital science approaches requires changes to the traditional scientific practices in terms of changing the research tools, models and openness to participation. Currently, the take up of open digital science practices is very uneven between different disciplines, countries and types of research actors. Furthermore, no systematic linkages between young people at schools and the scientific communities exist. The specific objectives of this priority are: To foster take-up of digital science among different disciplines through policy development and harmonisation at MS and European level (including follow-up of digital ERA actions on digital research services take up). To foster the engagement of young people in science through digital science approaches. To bridge science and society through digital engagement in scientific processes and scientific dialogue. The contribution to high-level policy targets is To better meet global challenges because of enhanced efficiency and quality of scientific processes through broad take-up of relevant technologies and collaborative approaches. Improved scientific literacy of citizens and increased interest and skills of young people in scientific thinking and in scientific careers. Enhance public confidence in science and contribution to responsible science agendas that meet citizens' and civil society's concerns. Currently, the main activities in this area include: defining the digital science concept and indicators for gathering baseline data and creating a monitoring mechanisms, possibly in connection with JRC Research and Innovation observatory; following up Digital ERA actions in the context of ERA Communication; developing ICT2013 student outreach concept with a view for establishing longer term mechanisms; establishing collaborations, e.g. school outreach through etwinning (DG EAC), e-skills outreach to young people (DG ENTR), citizen science organisations; Exploring collaboration with current and possible future Science in Society activities in RTD; Studying the linkages between citizen science and collaborative digital science activities and the development of scientific and digital literacy of participants; Many of these activities are supported by ongoing CIP and FP7 CSA projects. Page 3 / 5

Digital science in Horizon 2020 -- Annex II: CONNECT Digital Science Unit priorities Priority 3: Coordination of the ICT dimension of the Excellence pillar of H2020 This priority area aims at crossfertilisation of research activities and science-based policies with all relevant DG CONNECT units (e.g. FET and Research Infrastructures) and beyond (Science in Society, ERC, Marie Sklodowska Curie, EIT, ), so as to operate with greater coherence and effectiveness to coordinate research policies under H2020. The coordination and communication activities target a comprehensive approach to promote excellence in science, through all its aspects, from long-term research to collaborative and multidisciplinary, technologically oriented programmes. Each programme under this pillar has its own modus operandi; however all of these programmes share the vision and ambition of setting Europe on the forefront of excellent scientific and technological research. Today, the communication between the various European programmes is less than optimal. A comprehensive mapping, across Europe, of the types of research settings, disciplines, organisations and project-related activities is missing, opening the risk of repetition of work and a fragmentation of efforts, leading to a lower impact on technology, industry and society. Realising the European Research Area requires an effective articulation of research policies conducted both at EC and Member State level sustained over time. These expected impacts of the activity are: Better organization/structure of EC-based research programmes and increase of efficiency of funded research projects. Tangible feedback from programmes and projects to EC research policies. "Real-time" assessment of funded-based research policies and programmes. The contribution to top level policies aimed for is: Measurement of research-based programmes on Industrial take-up and technological development in Europe and beyond. Contribution to GDP from research, where Research becomes a resource rather than a cost. Currently, in this area, Digital Science unit is engaged in multi-lateral discussions and holds meetings with all stakeholders of the Excellence in Science pillar (e.g. Marie- Sklodowska- Curie, ERC, FET, Research Infrastructures, EIT) to first take stock of the existing landscape in ICT-relevant research in Europe and second to reach an effective articulation between scientific priorities and research policies for H2020. Page 4 / 5

Digital science in Horizon 2020 -- Annex II: CONNECT Digital Science Unit priorities Priority 4: Global Systems Science - GSS Public policy making, when addressing challenges such as climate change, financial crises, containment of pandemics, or energy sufficiency, suffers from an intrinsic difficulty: These global challenges generate strong interdependencies between different social, technological, and natural systems. In dealing with them, societies tend to address individual systems, rather than multiple interrelated systems, and thereby fail to achieve systemic change. The vision is to develop systemic scientific evidence, to deliver it into the policy process, and to integrate scientific evidence and the social processes leading to policy decisions in response to global challenges. In doing so, GSS emphasises system-wide thinking. The ICT engines driving GSS are large-scale computing platforms to simulate highly interconnected systems to make full use of the abundance of data on social, economic, financial, technological and ecological systems available today. The unprecedented scale of these data represents a step change in how science is able to address societal questions. A characteristic of GSS is the involvement of policy makers and civic society throughout the process of gathering and analysing evidence. Important are therefore online social media and collaborative ICT platforms that support active participation of all stakeholders in the process of gathering and analysing evidence and thereby participation in the policy process. The strategic role of C3 in developing GSS is twofold: (i) provide an integrated policy perspective within EC around the GSS vision and (ii) develop a research agenda in GSS for H2020 across DG.CONNECT. The policy role implies establishing links to EC policy Directorate Generals (ECFIN, MARKET, CLIM, etc.,), BEPA and JRC. A map of existing/needed competencies to (selected) policy areas will be established to pool and integrate existing knowledge (models and data). The targeted impacts are: Policies in EC are informed by evidence provided by GSS methods (grounded in models and data), e.g. for policies in response to financial crisis management. Increased trust of society in decisions taken in sensitive areas like economy or climate change, use of GSS methods in addressing climate change and energy policies GSS stimulates new business models based on 'Big Data' for policies GSS stimulates use of ICT in social innovation as response to e.g. climate change and radically new ways of solving societal challenges Research evolves along two complementary strands: (i) Policy informatics scientific evidence-base for policy: ICT tools to provide models and data highly integrated across different policy sectors. (ii) Societal informatics a society-centred science: ICT tools to integrate the scientific evidence-base in the policy process and society in the scientific and policy process. GSS will focus on a few selected policy areas as case studies for which a research agenda will be developed in tight connection with pertinent decision bodies. Page 5 / 5