1 Geistes-, Natur-, Sozial- und Technikwissenschaften – gemeinsam unter einem Dach Research Data Management Institutional Perspective Arthur Ganson

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1 1 Geistes-, Natur-, Sozial- und Technikwissenschaften – gemeinsam unter einem Dach Research Data Management Institutional Perspective Arthur Ganson http://www.tfaoi.com/aa/1aa/1aa230.htm

2 2 Geistes-, Natur-, Sozial- und Technikwissenschaften – gemeinsam unter einem Dach Context

3 3 Geistes-, Natur-, Sozial- und Technikwissenschaften – gemeinsam unter einem Dach Research Changes… Radical Method Change in Research –From printed material and real experimental lab to a variety of digital artifacts and tools New Infrastructures & Services Required –Storage, computing, virtual tools, subject- specific data models, funding consultancy > Knowledge Infrastructures

4 4 Geistes-, Natur-, Sozial- und Technikwissenschaften – gemeinsam unter einem Dach Bielefeld sets out to point the way Bielefeld Data Informium –Service-Concept for Research and Education jointly developed by Researchers, Library, Computing Centre, Mgmt.… Crossing intra-organisational boundaries –More user-centric, more customized for a new quality of research services

5 5 Geistes-, Natur-, Sozial- und Technikwissenschaften – gemeinsam unter einem Dach Services for the Research Life Cycle Knowledge Services in the institutional infrastructure Students Researchers eLearning­- Systems (SCM/UB) Organizing­ Studying (BIS) etc. eLearning­- Systems (SCM/UB) Organizing­ Studying (BIS) etc. Mgmt. Accounting Person/Org.-Services etc. (BIS) Accounting Person/Org.-Services etc. (BIS) Desk Research Read Publish Cite Review Visualisize Measure Analyze Information Services Digital Content Access Licences Search Technology Catalogues etc. Information Services Digital Content Access Licences Search Technology Catalogues etc. Publikation­ Services Publikation­ Services Data Services Informium (New !) etc. Data Services Informium (New !) etc. Publication­ Server Journal­ platforms Bibliography Management Publication­ funds etc. Publication­ Server Journal­ platforms Bibliography Management Publication­ funds etc. Write Portal Individual for Researchers, Students & Faculty Portal Individual for Researchers, Students & Faculty

6 6 Geistes-, Natur-, Sozial- und Technikwissenschaften – gemeinsam unter einem Dach Research Data Management

7 7 Geistes-, Natur-, Sozial- und Technikwissenschaften – gemeinsam unter einem Dach Needs Questions researchers ask about Research Data Management How do I prepare a data management plan for a grant proposal? Who is paying the extra work for data curation and who can actually do it? Who can tell me, if any other research group has solved my data problem? Are there institutional products and prices for resources (e.g. servers, cloud computing)? How do I store and archive my data now and differentially for 1, 2, 5 or 10 years? Is there an institutional data policy, I can refer to in my proposal? Who is the person or institution to answer my questions for data management? Are there legal implications with share and re-use or with respect to patents and industry? Are there ethical implications of my way to handle data? Who do I approach, if I need subject specific data modeling or technical development? …

8 8 Geistes-, Natur-, Sozial- und Technikwissenschaften – gemeinsam unter einem Dach Goal Transcending Boundaries between research disciplines and methodologies by data re-use and sharing through flexible access policies Build a Role Model for Institutional Services supporting Research Data Management –Matrix infrastructure connecting disciplinary and internationally –Central support without intervening, conflicting and contradicting existing subject specific practices

9 9 Geistes-, Natur-, Sozial- und Technikwissenschaften – gemeinsam unter einem Dach Situation: International Research Data is a hot topic –EU: eInfra; Australia: ANDS; US: NSF/NIH, Data Management Plan, DataNet… Infrastructure partly existing –WDC-System, CERN, EBI, UKDA/GESIS… Institutional strategies just starting… –Cornell: Data Staging Repository, Harvard- MIT: MDMC,OFSC Harvard etc.

10 10 Geistes-, Natur-, Sozial- und Technikwissenschaften – gemeinsam unter einem Dach Situation: National Primärdaten als Grundlagen für Veröffentlichungen sollen auf haltbaren und gesicherten Trägern in der Institution, wo sie entstanden sind, für zehn Jahre aufbewahrt werden. DFG -Richtlinien Guter Wissenschaftlicher Praxis 17. Juni 1998 Wenn aus Projektmitteln systematisch (Mess-)Daten erhoben werden, die für die Nachnutzung geeignet sind, legen Sie bitte dar, welche Maßnahmen ergriffen wurden bzw. während der Laufzeit des Projektes getroffen werden, um die Daten nachhaltig zu sichern und ggf. für eine erneute Nutzung bereit zu stellen. Bitte berücksichtigen Sie dabei auch – sofern vorhanden – die in Ihrer Fachdisziplin existierenden Standards und die Angebote bestehender Datenrepositorien. DFG –Leitfaden für Antragsteller August 2010

11 11 Geistes-, Natur-, Sozial- und Technikwissenschaften – gemeinsam unter einem Dach Situation: Local -- Research Strong data-driven research, e.g. –Biotechnology: CeBiTec (BRF) –Cognitive Interaction: CITEC –Data-Service-Center for Microdata –Many, many others –IWT: Sociology of Science Studies

12 12 Geistes-, Natur-, Sozial- und Technikwissenschaften – gemeinsam unter einem Dach e.g. Cognitive Interaction Tech.

13 13 Geistes-, Natur-, Sozial- und Technikwissenschaften – gemeinsam unter einem Dach Situation: Local -- Strategy Rectorate supports and encourages research data management plans –Part of the future concept German Excellence Initiative –In house-funding for pilots –Colloquium Knowledge Infrastructure –Many infrastructure projects in the library also focused studies on subject-specific req.s

14 14 Geistes-, Natur-, Sozial- und Technikwissenschaften – gemeinsam unter einem Dach Plans for Institutional Model WSS SOT CITEC Quantitativ Lehrstühle Qualitativ Lehrstühle Library Director Computing Director Campus-IT Director Media Serv. Director Experts Techn. Fac. Software Data Models User Models Retrieval CITEC Central Labs Management CeBiTec Facilities Management Experts Techn. Fac. Software Data Models User Models Retrieval CITEC Central Labs Management CeBiTec Facilities Management CIO Scholarly Inf. CIO IT Research Office VC Research Externe Data Connoisseurs Data Experts Scientific Coordination Service Coordination Informium Human Data IRIS Interdisciplinary Research Infrastructure Services IRIS Interdisciplinary Research Infrastructure Services Prominent, established data centres e.g. CITEC, Data Service Centre Method and Data School e.g. quantitative und qualitative social science, experimental procedures, modelling Accompanying Studies & Discourse z.B. data ethics, legal aspects, Wissenschaftsforschung (projects, colloquium etc.) Sustained Task force for Research Data v.a. qualified staff, who understand research Professional Support and Services z.B. Data modelling, Archiving, Curation, Computing Escort Service for grant proposals & projects z.B. Infrastructure-provision, software, data managm. plan Research Central Services

15 15 Geistes-, Natur-, Sozial- und Technikwissenschaften – gemeinsam unter einem Dach Highlights of the Model Networked data centers of excellent units –CITEC, Graduate Sch., SFBs, Clusters… Interdisciplinary School for Data-Methods –Quantitative & qualitative Paradigms, Modeling, Technology, Data Science, Scientific Computing, Curation Reflexive scientific discourse –Data ethics, legal aspects, Sociology of science Institutionalized data task-force (IRIS) –Bielefeld Data Informium as template for virtual environments –From proposal to operations; specification, customizing, modeling, software, legal issues

16 16 Geistes-, Natur-, Sozial- und Technikwissenschaften – gemeinsam unter einem Dach Expected Results Novel quality of services that facilitates local and international research across disciplines –Close gearing of research and service units –Efficient Process of Customization –Mixture of permanent and dynamic staff –More security, archiving and scalability –Training and education for data and methods –Coupling with scientific method research, computer science and theory of science