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Arthur Ganson http://www.tfaoi.com/aa/1aa/1aa230.htm

Arthur Ganson http://www.tfaoi.com/aa/1aa/1aa230.htm. Context. 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

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Arthur Ganson http://www.tfaoi.com/aa/1aa/1aa230.htm

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  1. Arthur Ganson http://www.tfaoi.com/aa/1aa/1aa230.htm

  2. Context

  3. 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. Bielefeld sets out to point the way for a new quality of research services • 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

  5. Services fortheResearch Life Cycle Knowledge Services in theinstitutionalinfrastructure Researchers Students • eLearning­-Systems • (SCM/UB) • Organizing­ • Studying • (BIS) • etc. Publikation­ Services Read Information Services • Digital Content • Access Licences • Search Technology • Catalogues • etc. Write • Publication­ • Server • Journal­ • platforms • Bibliography Management • Publication­ • funds • etc. Desk Research Measure Cite Analyze Publish Visualisize Review Data Services • „Informium“ (New !) • etc. • Portal • Individual for Researchers, Students & Faculty • Accounting • Person/Org.-Services • etc. (BIS) Mgmt.

  6. Research Data Management

  7. Needs Questionsresearchersaskabout 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. 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. 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. 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. 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. 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

  13. Plans forInstitutional Model Data Experts • Research WSS QuantitativLehrstühle Human Data • Prominent, establisheddatacentres • e.g. CITEC, Data Service Centre • Methodand Data School • e.g. quantitative und qualitative socialscience, experimental procedures, modelling • Accompanying Studies & Discourse • z.B. dataethics, legal aspects, Wissenschaftsforschung • (projects, colloquium etc.) SOT QualitativLehrstühle CITEC Externe Scientific Coordination CIOScholarly Inf. ResearchOffice „IRIS“ Interdisciplinary Research Infrastructure Services CIOIT VCResearch Data Connoisseurs Service Coordination • Sustained Task forcefor Research Data • v.a. qualifiedstaff, who understand research • Professional Support and Services • z.B. Data modelling, Archiving, Curation, Computing • Escort Service forgrantproposals & projects • z.B. Infrastructure-provision, software, datamanagm. plan • Experts • Techn. Fac. • Software • Data Models • User Models • Retrieval • CITEC • Central Labs • Management • CeBiTec • Facilities • Management LibraryDirector Informium ComputingDirector Campus-ITDirector • Central Services Media Serv.Director

  14. Highlights ofthe 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

  15. ExpectedResults • 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

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