1 eurocris, CERIF and CRIS Ed Simons, Ph.D., Radboud University Nijmegen, the Netherlands President of eurocris
2 Structure of the Presentation Short introduction of the Speaker eurocris in a nutshell The CERIF Research Information (meta)data Model Concrete examples of application of CRIS (Netherlands, UK, Spain). Challenges Conclusions.
3 Ph.D. In Social Sciences Introduction of the Speaker Working at Radboud University, NL: Central Concern Information Management Department. (www.ru.nl/english) International IT-project Manager (especially IT-projects with universities in developing countries) Most recent project: OPUS-College: open source student registration and information system (www.opus-college.net). Initiator and project leader Dutch Research Information System (CRIS) METIS. Development of Dutch CRIS already started in First implemented in 1993 Since 2003: used by all Dutch universities and Royal Academy of Sciences. Since January 2013: President of eurocris.
4 The eurocris organisation International nonprofit association, of users, experts and developers of research information systems (CRIS) Mission statement: Advancing exchange of Research Information through CERIF Main activity: development, maintenance and promotion of the CERIF metadatamodel, the Common Euopean Research Information Format, a standard for the development of and interoperability between CRIS. CERIF is an official EU Recommendation to Member States. Also: offering a platform for the exchange of ideas and experiences on CRIS and RI in general. eurocris members range from institutions (universities, researcch institutes) over funding agencies (e.g. DFG) and national RI organisations (e.g. KNAW, SURF (nl), JISC (uk)) to vendors of CRIS systems (Atira, Avedas, Symplectic) and major publishers (e.g. Elsevier). Currently 179 members from 43 countries, mainly Europe (but e.g. Also Canada and US)
5 Strategic Partners of eurocris.
6 CERIF: Common European Research Information forma Strong points of CERIF: Broad coverage: metadata on all aspects of research information. Detailed: highly normalizes. Optimal relational architecture. Basic principle: expressing properties and semantics of the information objects and their relations by means of time-stamped links (linking entities) between the entities instead of as attributes of the entities. This makes the model very flexible and scalable: Any number of relations can exist and be expressed between information objects in the model (e.g. various roles of a person in research at the same time) Any level of granularity of the metaddata can be expressed. E.g. the role of a researcher concerning a publication can both be expressed according to the lowgrained DC (creator, contributor) or by means of a more fine-grained classification (1st author, author, editor, reviewer, conductor of the experiment, etc...). A separated semantic layer allowing the use of multiple (any) controlled vocabularies (classifications, typologies) as well as their cross-linking and mapping. Multi-lingual.
7 CERIF Metadata Model: broad coverage Persons involved in the research and their possible roles (researcher, manager, ) Organizations involved: research institutions, funding agencies, partners, customers, Projects: content description, academic domain, period, language, Input: both in terms of human (fte s) and financial resources. Output: publications, patents, products, contributions to events, services rendered, Datasets used/produced: identification, volume, location, access/use rights, Equipment and services used/produced in the research. Metrics: number of publications, citations, grants, awards, etc Impact on society: economic, health, climate Semantic definitions: controlled vocabularies, both for formal-administrative (e.g. typologies of roles in research or publication types) and content-related (e.g. taxonomies for a given scientific domain) characterization and clarification.
11 CRIS: Current Research Information Systems Integrated in the CERIF-solution are: CERIF-XML: for interoperability between CRIS and other RI systems and applications (e.g. OA Repositories). The ORCID unique researcher identifier. CASRAI dictionariy definitions and profiles.
12 CRIS: Current Research Information Systems On top of CERIF research information systems (CRIS) were/are being built that in the course of time evolved from mere research assessment systems to multipurpose systems that can deliver a multitude of services to the various stakeholders in the research information ecosystem. Currently some implementations of CRIS in Europe.
13 Research Information: stakeholders
14 NL: Central position of CRIS in RI environment
15 NL: Central position of CRIS in RI environment
16 NL: CRIS output for SEP: Standard Evaluation Protocol
17 NL: Researcher Profiles/CV s generated from CRIS
18 NL: Insitution/Research Profiling Dashboard based on CR
19 NL: CRIS-Repository Interaction
20 NL: DAI Digital Author Identifier NTA Institute 12 Institute 9 Institute 14 Institute 4 In: Out: In: Out: In: Out: - In: Out: CRIS CRIS CRIS CRIS
21 UK: MICE: Measuring Impact in CERIF MICE: a UK project to define societal (economic, health, climate, etc..) impact indicators for research (2011). Outcome: A broad taxonomy of impact indicators has been defined and the CERIF model has been extended in order to be able to deal with these impact indicators. Economic Environment Health Social Cultural Legal Public policy...
22 MICE: Measuring Impact in CERIF Impact indicators economic and commercial (3) economic impact on business (1) improving performance of existing businesses (1) increased turnover (1) time savings (3) reduced costs (1) fuel savings success measures for new products (1) revenue growth reduced financial risk increased productivity
23 MICE: Measuring Impact in CERIF social/cultural/environmental (3) environmental sustainable development (1) environmental sustainability (1) reduced pollution (1)/ waste (3) recycling rates (3) improved waste management (3) reduced consumption of natural resources (3) regeneration of natural resources (1) new technologies/processes/services (1) monitoring (2) risk assessment (2) behavioural changes (1)
24 MICE: Measuring Impact in CERIF health health sector (1) improved patient care (1) reduced treatment times (1) reduced treatment costs (1) equal access to services (1) changes to clinical/healthcare training/practice/guidelines (1) new or improved drugs (1) new or improved treatments/medical interventions (1) number of advanced phases clinical trials (1) changes to clinical policy (2) improved heath outcomes (1) lives saved (1) reduced infection rates (1) improved quality of life for patients (2)
25 UK: CERIF-ying the Snowball Metrics eurocris currently is involved in a project with Elsevier and a few universities from the UK aimed at expressing the Snowball Metrics in CERIF. Snowball Metrics: a set of indicators for inter-institutional benchmarking of research.
26 Research Information: stakeholders
27 Research Information: stakeholders
28 Research Information: stakeholders
29 Spain: expressing the CVN in CERIF eurocris is currently involved in a project with FECYT to express the normalized CV (CVN) for researchers, a CV-format used in the whole of Spain. A first draft version is ready. This means that it will be possible to directly generate the CVN from the metadata in a CRIS based on CERIF.
30 Challenges A plethora of metadata models and format exists within the research information domain, both concerning generic aspect (i.e. metadata applicable to all disciplines) as well a discipline- or subject-specific metadata GBIF MAGE NEXUS CIF EGMS MARC21 PREMIS CKAN DCAT DA RA VIVO PRISM MODS DDI DCMES TEI CERIF GILS LCS Darwin Core SOIF ROADS/IAFA MESH journalpublishing3 FGDC IAD ISAD(G) LCNAF TGN ITIS HIVE UBio INSPIRE SPECTRUM NBII (controlled vocabularies that hold content- or aspect specific classifications related to a given scientific discipline or research subject e.g. the MeSHclassification for Medical Sciences).
31 Challenges for eurocris and CERIF To intensify and optimize our relationship with neighbouring stakeholders in the Research Information Ecosystem: CASRAI, ORCID, VIVO, RDA, Lattes, Repository community,. Promote the use and implementation of the CERIF data model, also outside of Europe Data quality: On time and up-to-date availability of research information data is often a problem. Data quality in external resources is often questionable, also with the big guys (Scopus, WoS). E.g. errors concerning affiliations of researchers, multiple unique identifiers). Leading to time-consuming and costly data cleaning and validation. Relying on external resources holds the risk of loosing accountability ownership. Combining/integrating the possibilities of CRIS with new, emerging technologies (big data analysis, visualisations, ).
32 Conclusions eurocris has developed a (metad)data model CERIF - that covers most aspects of research information. This data model is widely being accepted and implemented as the standard for registration and interoperatbility of research information in European countries. Given the broad coverage and the architecture of CERIF, CRIS can perform a pivotal or spider in the web (interoperability) function in the research information ecosystem Apart from being an interoperability engine, CERIF-CRIS can perform multiple services to the various stakeholders or use cases in the RI domain, including the aspect of metrics and impact measurement.
33 Thank you for your attention! And be welcomed to cooperate with or become a member of eurocris First step: to CERIF-y the STAR Metrics?
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