Centre of Data Expertise and Experience

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1 Executive summary Centre of Data Expertise and Experience (CODE²) 2nd Big Data project conducted at Service Science Factory Client: Prof. Philip Vergauwen (Dean, SBE) Project Leader: Vanessa Lusian (Project Leader, SSF) Centre of Data Expertise and Experience Main conclusions of the second CODE 2 project The results of the research performed during the Big Data project reveal the need for a connector in (and beyond) the field of Big Data. As a response to this need, the implementation of a Center of Data Expertise and Experience (CODE²) is strongly advocated. CODE² provides added value to Maastricht University, the Smart Services Hub and Big Data experts since it: Connects existing Big Data initiatives and experts Fosters collaboration between university and society Provides a fundament and infrastructure for the SSH community Provides several collaboration methodologies (projects, workshops, events, online tools, etc.) Encourages joint research by fostering expert collaboration Provides societal and economic value

2 Project developed by: and supported by: Aim of the project The first Big Data project conducted at the Service Science Factory (SSF) in early 2013, revealed the urgent need for a Big Data connector in the region of South Limburg. This need, expressed by professors, business professionals and experts from various fields, was the reason to initiate the second project. Its aim is to design a physical or virtual environment that brings together methodology driven experts from different fields, who combine their knowledge in multidisciplinary teams to create new solutions enabling smart service innovation. The solution developed includes an interlinked set of cooperation concepts that facilitate collaboration between educational institutions, businesses and society as a whole. Once in place, the CODE² concept enables individuals with Big Data related needs, to easily find experts, solutions, as well as cooperation projects and events in the region. physical or virtual environment To create solutions enabling methodology driven experts combine their knowledge in multidisciplinary teams smart service innovation Mission of the project

3 Methodology A team of 2 professors, 2 lecturers, 2 business professionals and 7 students was selected to answer the mission of the project in 8 weeks. Project Process: Project process Desk Research Stakeholder Analysis Field Research: Interviews Analysis of needs Matching demand and supply Defining building blocks for multi-disciplinary cooperation Implementation roadmap EDUCATION PNA group Foundation for Secondary Education Parkstad Limburg Arcus College Zuyd University of Applied Sciences Chemelot Campus Open University Greenport CHEMICAL, LOGISTICS, PROCESSES Services Valley School of Business and Economics UM Belastingdienst (IRS) Chamber of commerce FINANCIAL & ADMINISTRATION Obvion MUMC+ Central Bureau of Statistic APG Rabobank Maastricht Health Campus Industries of focus HEALTH CARE & APPLIED SCIENCES Stakeholders In order to identify needs (demand) and expertise/initiatives (supply) in the region and beyond, several stakeholders participated in in-depth interviews. Based on the results of the research, a set of recommendations (implementation roadmap) provides a detailed overview over the needs of potential users and experts, who are interested in engaging in the CODE 2 collaboration initiative. Stakeholder Map

4 Community concepts The need analysis of the stakeholders has revealed demand for: Multi-disciplinary collaboration methods Knowledge sharing tools Community concepts Innovation environments In order to respond to these needs, 30 concepts have been developed to stimulate on- and off-line collaboration. The framework (left) depicts the most important concepts according to their economic/societal relevance and their academic value. Legend Online concept Offline concept Framework and collaboration methodologies

5 is designed to help navigating through the wealth of information, events and initiatives, facilitating the search process and encouraging face to face interaction, which has proven to be vital to establish trust and encourage collaboration. Three key concepts Roadmap The implementation of CODE 2 starts with 3 key concepts: 1. The first step is the establishment of a Group of Experts. This association connects methodology driven individuals from different institutions and departments to jointly perform Big Data related research and projects. It combines the knowledge required for all the steps in the Big Data value creation process and aims at developing big data methodologies. 2. Once operational, the group of experts will make their knowledge accessible to the public. Co-operation between university, society and the business world can be established by Demand Driven Research. This collaboration concept allows businesses and governmental institutions to pose research questions to the group of experts. While enabling scientific exploration with societal and economic relevance, researchers gain a new stream of income. 3. The online Interaction Platform is an environment designed to foster interaction between the group of experts and demand driven research clients such as companies or governmental institutions. Based on the communication needs and contents collected and developed during the first 3 to 6 months, the platform is developed. Its added value consists of offering a quick and simple means of communication that enables swift identification of experts, who can solve specific problems and answer big data related questions. The tool Implementation Roadmap Concluding, based on the analysis of needs and expertise, the project team strongly advises the implementation of CODE 2. Advantages include: Connection of existing Big Data initiatives and experts Fostering of collaboration between university and society Providing a fundament for the SSH community Offering collaboration methodologies (projects, workshops, events, online tools) Connecting experts while encouraging joint research Societal and economic value For more detailed information - including extensive customer need analysis, next steps and a detailed description of the 30 concepts - please refer to the CODE 2 booklet available as of April 2014 at

6 Offline Online: Big Data challenge is a bi-annual event to find solutions for the most troublesome Big Data issues. Professors, students, experts, and young professionals are invited to participate and compete over a two week time period. The top three solutions will be awarded. Big Data Clubhouse hosts regular weekly/monthly meetings for researchers and experts, where conversations on specific methodologies, symposia, moderated lunches and keynotes take place Meet and Greet is a recurring informal social event where members can share their knowledge and exchange ideas. Meeting space is a physical location where people interested in Big Data can gather informally or have regular meetings. Moderated lunch is a regular meeting that brings people together to discuss a certain monthly topic. Multi-disciplinary projects gather researchers, industry and/or IT experts to jointly work on the development of new methodologies and service innovations. Workshops allow participants to work jointly on shared problems or learn new methodologies. Ask the expert helps members in finding answers to their questions by directly addressing (groups of) experts. Centre of Data Expertise and Experience Big Data question is a research question posted by companies or research institutions. It allows researchers to collaborate with organizations to work on a specific Big Data issue while receiving funds in exchange. Crowdsourcing allows to post projects on the website. Community members, experts and external parties such as IT vendors or consultancies can submit their proposals related to the projects. Discussion forum allows to create threads and facilitates open conversations. Proof of concept is a validation instrument for companies and Big Data researchers. Companies can share their findings achieved by analyzing Big Data and ask researchers whether the inferences drawn are accurate and realistic. Researchers can share their findings with business organizations to explore possible fields of application and subsequent data exchange for validation. Research circles help researchers identify peers within certain areas of expertise and interest to facilitate exchange of ideas, methodologies, and information. Research connector unites researchers with the same interests or field of expertise. Research method exchange is a tool that allows to exchange methodologies. Showcase project is a collection of success stories from Big Data projects initiated by researchers and professionals from the CODE² community. These cases, published on the community website and presented at events, illustrate the value that can be created by means of Big Data. Weekly special is a themed online discussion focusing on weekly Big Data topics or issues.

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