institutional-level engagement in a transdisciplinary data network at Bielefeld University Johanna Vompras University Library, Bielefeld, Germany Session 2H: RDM across boundaries and disciplines June, 4th 2014 Johanna Vompras Universität Bielefeld Universität Bielefeld
of Bielefeld University Research Data Definition In a broad sense, the term Research Data refers to any primary data, secondary analyses, visualizations, models, analysis tools, collections of objects or products that are generated and used during the academic research lifecycle. Johanna Vompras Universität Bielefeld
of Bielefeld University Research Data Definition In a broad sense, the term Research Data refers to any primary data, secondary analyses, visualizations, models, analysis tools, collections of objects or products that are generated and used during the academic research lifecycle. The definitions may differ between subject areas: the researchers themselves decide about granularity and aggregation level, and which data are to be considered worth keeping. Johanna Vompras Universität Bielefeld
of Bielefeld University Research Data Landscape Example 1: Biological Cybernetics. Examination of natural movements of a stick insect [EMICAB EU project] Stick insect movement with markers for motion capture attached. extracted from: Wiljes, C., and Cimiano, P. (2012). Linked Data for the Natural Sciences: Two Use Cases in Chemistry and Biology. In Proceedings of the Workshop on the Semantic Publishing, 48 – 59. Johanna Vompras Universität Bielefeld
of Bielefeld University Research Data Landscape Example 2: Social Sciences. Data producer Archiving Data (Re-) Usage Data Documentations Instruments (e.g. Questionnaires, Codebooks) Retrieval Result Analysis Statistical Evaluations Replication Studies Secondary Analysis Reuse of Design Features Feedback Data Processing Documentation Data Access XML Metadata Standard Johanna Vompras Universität Bielefeld
of Bielefeld University Research Data Landscape Example 3: Software Engineering [https://toolkit.cit-ec.uni-bielefeld.de/] Bundling of code, software releases, documentation, and data sets Johanna Vompras Universität Bielefeld
of Bielefeld University and much more ... drafts, plans sequences of genes, nucleic acids artefacts from human and cultural sciences: e.g. products of retro-digitisation (journals, recensions, monographs) hardware configurations multimedial objects (video, audio, photos, audiovisual media, etc.) Johanna Vompras Universität Bielefeld
of Bielefeld University and much more ... drafts, plans sequences of genes, nucleic acids artefacts from human and cultural sciences: e.g. products of retro-digitisation (journals, recensions, monographs) hardware configurations multimedial objects (video, audio, photos, audiovisual media, etc.) but also ... all the intermediate objects, which are produced within the Data Life Cycle. Johanna Vompras Universität Bielefeld
all began ... Implementation Strategy Contents 1 University Bielefeld 2 The project INFORMIUM 3 University-wide Services 4 Summary Johanna Vompras Universität Bielefeld
all began ... Implementation Strategy INFORMIUM - Time Table 22.12.2009 - Rektorat decision Decision to develop university-wide services for research data Project ’INFORMIUM’ (since April, 2010): Development of a research data infrastructure Pilot projects started as several collaborations between scientists and infrastructure facilities with the aim to determine functional requirements for the realization of a transdisciplinary research data infrastructure. 19.07.2011 - Rektorat session Principles on handling research data at University Bielefeld Establishment of a research data contact point Johanna Vompras Universität Bielefeld
all began ... Implementation Strategy INFORMIUM - Time Table 22.12.2009 - Rektorat decision Decision to develop university-wide services for research data Project ’INFORMIUM’ (since April, 2010): Development of a research data infrastructure Pilot projects started as several collaborations between scientists and infrastructure facilities with the aim to determine functional requirements for the realization of a transdisciplinary research data infrastructure. 19.07.2011 - Rektorat session Principles on handling research data at Uni Bi Establishment of the research data contact point Johanna Vompras Universität Bielefeld
all began ... Implementation Strategy Principles (Rektorat, 19.07.2011) Researchers at Bielefeld University should treat research data* as valuable academic work in line with the following principles: Johanna Vompras Universität Bielefeld
all began ... Implementation Strategy Principles (Rektorat, 19.07.2011) Researchers at Bielefeld University should treat research data* as valuable academic work in line with the following principles: Across the entire data lifecycle – from data collection to publication – research data should be handled and documented diligently and according to appropriate subject-specific standards Each Project Investigator (PI) should provide a data management plan in line with the given subject-specific guidelines for institutions and projects – particularly for each new data-intensive research proposal Research data management in institutions and projects should aim towards making data widely available and retaining it for the long term in order to facilitate its reuse for research, practice, and the general public while simultaneously balancing the need to protect intellectual property rights, personal data, and obligations to third parties To promote high-quality research data management practices, and for all forms of teaching, to pay sufficient attention to subject-specific training in methods and the principles of good academic practice Johanna Vompras Universität Bielefeld
all began ... Implementation Strategy INFORMIUM - Requirements analysis Prototyping with research-based pilots: Research data management is highly dependent on discipline-specific requirements Analysis of: Workflows Research methods Types of data Data infrastructure requirements Johanna Vompras Universität Bielefeld
all began ... Implementation Strategy INFORMIUM - other accompanying activities Data Service Center DSZ-BO: dszbo.uni-bielefeld.de Buildup of data infrastructure Data Documentation Initiative: www.ddialliance.org Networks: IASSIST, DDI Working Groups (CV, Qualitative Data Exchange & DDI Developers Community) Johanna Vompras Universität Bielefeld
all began ... Implementation Strategy INFORMIUM - other accompanying activities Data Service Center DSZ-BO: dszbo.uni-bielefeld.de Buildup of data infrastructure Data Documentation Initiative: www.ddialliance.org Networks: IASSIST, DDI Working Groups (CV, Qualitative Data Exchange & DDI Developers Community) Collaborative Research Center SFB 882 (Data and Information infrastructure) KE Exchange VRE: www.knowledge-exchange.info Social Sciences and Linked Data: Semantic Statistics [PUB] Networking: Institutional biography, DOI registration, directory of staff and departments Johanna Vompras Universität Bielefeld
all began ... Implementation Strategy INFORMIUM - other accompanying activities Data Service Center DSZ-BO: dszbo.uni-bielefeld.de Buildup of data infrastructure Data Documentation Initiative: www.ddialliance.org Networks: IASSIST, DDI Working Groups (CV, Qualitative Data Exchange & DDI Developers Community) Collaborative Research Center SFB 882 (Data and Information infrastructure) KE Exchange VRE: www.knowledge-exchange.info Social Sciences and Linked Data: Semantic Statistics [PUB] Networking: Institutional biography, DOI registration, directory of staff and departments EU: www.openaire.eu (in collaboration with DANS, EBI, BADC) OpenAIREplus (FP7): Linkage of publications, data sets, and projects Research Data Alliance WG Data Intra-Operability http://rd-alliance.org/ Johanna Vompras Universität Bielefeld
all began ... Implementation Strategy INFORMIUM - other accompanying activities Data Service Center DSZ-BO: dszbo.uni-bielefeld.de Buildup of data infrastructure Data Documentation Initiative: www.ddialliance.org Networks: IASSIST, DDI Working Groups (CV, Qualitative Data Exchange & DDI Developers Community) Collaborative Research Center SFB 882 (Data and Information infrastructure) KE Exchange VRE: www.knowledge-exchange.info Social Sciences and Linked Data: Semantic Statistics [PUB] Networking: Institutional biography, DOI registration, directory of staff and departments EU: www.openaire.eu (in collaboration with DANS, EBI, BADC) OpenAIREplus (FP7): Linkage of publications, data sets, and projects Research Data Alliance WG Data Intra-Operability http://rd-alliance.org/ OA Taskforce PUB GenBank CITEC Toolkit, Pilots of Semantic Computing Working Group Johanna Vompras Universität Bielefeld
all began ... Implementation Strategy INFORMIUM - other accompanying activities Data Service Center DSZ-BO: dszbo.uni-bielefeld.de Buildup of data infrastructure Data Documentation Initiative: www.ddialliance.org Networks: IASSIST, DDI Working Groups (CV, Qualitative Data Exchange & DDI Developers Community) Collaborative Research Center SFB 882 (Data and Information infrastructure) KE Exchange VRE: www.knowledge-exchange.info Social Sciences and Linked Data: Semantic Statistics [PUB] Networking: Institutional biography, DOI registration, directory of staff and departments EU: www.openaire.eu (in collaboration with DANS, EBI, BADC) OpenAIREplus (FP7): Linkage of publications, data sets, and projects Research Data Alliance WG Data Intra-Operability http://rd-alliance.org/ OA Taskforce PUB GenBank CITEC Toolkit, Pilots of Semantic Computing Working Group Johanna Vompras Universität Bielefeld
all began ... Implementation Strategy Pilot 1 - UB/DSZ-BO meta- and microdata relation to business or organizational unit (e.g. linked employer-employee data) data Faculty of Sociology University Library cooperation study: data collection questions, variablen data sets in SPSS/ STATA, etc. internal representation metadata-format DDI 3.1 xml schemes xml database(s) data re-use, study comparison, support of the data lifecycle multiple-language support DSZ-BO data access distribution data sharing long-term archiving authenti- cation indexing retrieval textual information, publications, surveys study coding into DDI 3.1, semi-automatically services functionalities privacy policies data cleaning, user support/help desk (editing, access, training, etc.), content maintance data privacy policies development of the technical infrastructure Johanna Vompras Universität Bielefeld
all began ... Implementation Strategy INFORMIUM - Strategy bottom-up top-down domain-specific centralized implementation services focus group Vice-rector for research Director of University Library CIO-IT Department for strategic research development + representatives from main research fields ----------------------------------------- contact point for research data (coordidation focus group) OA-TF (operative) Additional interfaces: colloquium knowledge infrastructure teaching in research data management international knowledge exchange with subject-specific communities Johanna Vompras Universität Bielefeld
Focus Data Publication Data Management Planning Contents 1 University Bielefeld 2 The project INFORMIUM 3 University-wide Services 4 Summary Johanna Vompras Universität Bielefeld
Focus Data Publication Data Management Planning From Pilots to University-wide Services Leading Questions: How can we bring together the isolated pockets of expertise in data management to offer centralized services to the entire university? Which concrete disciplinary advances could play a role in the development of higher education? Where may institutional service providers (like the library or computing centers) come into play? Johanna Vompras Universität Bielefeld
Focus Data Publication Data Management Planning The 2 main pillars Advisory Services Data Publication FAQs, decision making support DOI regist., primary publication Web-based tool for creating and Data linkage editing data management plans Template support Further aspects: Awareness of data management Embargo, licensing Early clarifying of responsibilities Johanna Vompras Universität Bielefeld
Focus Data Publication Data Management Planning Resolution on Research Data Management – November 2013 Bielefeld University is firmly committed to supporting its academics in implementing the Principles and guidelines on handling research data at Bielefeld University from 19 July 2011 to promote a high-quality research data management. The Rektorat requests applicants to take advantage of the university’s advisory services – above all during the preparatory stage of any funding proposal requiring a data management plan (e.g. for the German Research Foundation, DFG) The Rektorat encourages academics to publish their research data through a registered research data archive within their discipline, or, if this is not available, through the research data repository of Bielefeld University. Publication should take the interests of persons and companies into account and be based on binding licensing conditions. http://data.uni-bielefeld.de/en/resolution Johanna Vompras Universität Bielefeld
Focus Data Publication Data Management Planning University-wide catalogue of research data Improve the impact of research and maximize its visibility Enhance the circulation, access to, and transfer of academic knowledge at University Bielefeld Link research data to reliable information on persons, organizations, publications, and projects Discover disciplinary reference and storage locations for research data (inside and outside the university) and interlink their content with central services Develop a common understanding of goals and requirements for a future IT infrastructure at Bielefeld (e.g. storage space requirements, archiving requirements, tool development) Johanna Vompras Universität Bielefeld
Focus Data Publication Data Management Planning Data Management Planning Web-based Tool Based on templates Allowing to cover specific needs of a project Johanna Vompras Universität Bielefeld
Model’ References Contact Information Contents 1 University Bielefeld 2 The project INFORMIUM 3 University-wide Services 4 Summary Johanna Vompras Universität Bielefeld
Model’ References Contact Information The ’Bielefeld Model’ Build-up of a research data infrastructure: a task for the entire university, No established best practices available, Implementation specifically tailored to the university / research profile, Our agile approach is a perfect fit for the university of short distances and its building infrastructure – under one roof, Combining relevant expertise → bring into central services for cross-disciplinary use, Easy win strategy Johanna Vompras Universität Bielefeld
Model’ References Contact Information References RDM at University Bielefeld: http://data.uni-bielefeld.de Open Access Task Force: http://www.cit-ec.de/openscience/oatf/ Research Data at the Bielefeld University: http://pub.uni-bielefeld.de/data SFB882 INF http://www.sfb882.uni-bielefeld.de/de/projects/inf Data Service Center for Business and Organizational Data (DSZBO): http://www.uni-bielefeld.de/soz/datenservicezentrum/ Johanna Vompras Universität Bielefeld
Model’ References Contact Information The End. Thank you for your attention! Dr. Johanna Vompras University Library Bielefeld Research Data Management Services [email protected] Johanna Vompras Universität Bielefeld