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Open Science Conference Berlin 21.-22. März 2017
Building a research data infrastructure for educational studies in Germany
- Experiences of the FDB-project
Alexia Meyermann, DIPF
forschungsdaten-bildung.de // Open Science Conference // Berlin, 21.-22. März 2017
Open Educational Data Why not accomplished yet?
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forschungsdaten-bildung.de // Open Science Conference // Berlin, 21.-22. März 2017
Experiences of the German Network for Educational Data („FDB-Project“)
Researchers of the funding programme „EBF-programme“
Part of the Data Infrastructure
- approx. 300 projects*
- approx. 200 data sets*
- 144 projects documented (09/2016)
- 46 data sets shared (09/2016)
* figures are estimated because of missing responses
sharing
2013-2016:
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forschungsdaten-bildung.de // Open Science Conference // Berlin, 21.-22. März 2017
Experiences of the German Network for Educational Data („FDB-Project“)
Researchers of the funding programme „EBF-programme“
Part of the Data Infrastructure
- approx. 300 projects*
- approx. 200 data sets*
- 144 projects documented (09/2016)
- 46 data sets shared (09/2016)
* figures are estimated because of missing responses
sharing
2013-2016:
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forschungsdaten-bildung.de // Open Science Conference // Berlin, 21.-22. März 2017
Open Educational Data Why not accomplished yet?
an educational researchers‘ task: motivation, capabilities Motivation
• obligations to share (e.g. monitoring and evaluation systems, journal requirements, funding requirements)
• incentives to share (e.g. data publications, citation rate)
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Capabilities • resources (time, money, personnel) • skills (research data management)
Some measures have already been taken by various stakeholders funding requirements and opportunities, citation and data journals FDB-project offers data management training, info material, counseling
forschungsdaten-bildung.de // Open Science Conference // Berlin, 21.-22. März 2017
Open Educational Data Why not accomplished yet?
an educational researchers‘ task: motivation, capabilities a research data infrastucture‘s task
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forschungsdaten-bildung.de // Open Science Conference // Berlin, 21.-22. März 2017
Open Educational Data Why not accomplished yet?
an educational researchers‘ task: motivation, capabilities a research data infrastucture‘s task
How should a research data infrastructure
for educational studies look like?
How to address the specific needs of educational studies?
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forschungsdaten-bildung.de // Open Science Conference // Berlin, 21.-22. März 2017
Educational Studies Characteristics and Needs
Sociology, economy, psychology, …
Data types, methods, terminology
High data output
Sensitive data; subject to approval by local authorities
specialized services sufficient capacities
Educational research
Requirements on data infrastructure
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multidisciplinary heterogeneous productive complex legal and regulatory environment
forschungsdaten-bildung.de // Open Science Conference // Berlin, 21.-22. März 2017 9
subject-specific, institutional data centers
focus: Large-Scale-Surveys; In-House-Data
small scale studies, qualitative data underrepresented
diversified services, complexity
Data Infrastructure for social, behavioural and economic sciences in Germany* Characteristics
* accredited by the German Data Form, www.ratswd.de, plus GESIS und Qualiservice
forschungsdaten-bildung.de // Open Science Conference // Berlin, 21.-22. März 2017
Data Infrastructure Needs addressed?
multidisciplinary heterogeneous productive complex legal and regulatory environment
+ subject-specific, high-level services guaranteed
+ high and increasing number of data centers
- complexity: no joint point of access, no joint overview of services and data
- capacities not sufficient, not adequate: certain data types are underrepresented
specialized services sufficient capacities
Educational research
Requirements
Infrastructure
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forschungsdaten-bildung.de // Open Science Conference // Berlin, 21.-22. März 2017
Data Infrastructure Needs addressed?
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multidisciplinary heterogeneous productive complex legal and regulatory environment
specialized services sufficient capacities
Educational research
Requirements
Infrastructure + subject-specific, high-level
services guaranteed + high and increasing number of data centers
- complexity: no joint point of access, no joint overview of services and data
- capacities not sufficient, not adequate: certain data types are underrepresented
forschungsdaten-bildung.de // Open Science Conference // Berlin, 21.-22. März 2017
Data Infrastructure Need for action: coordination
joint point of access and overview to reduce complexity and enhance user-friendliness diversified services need to cooperate and need to be coordinated
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forschungsdaten-bildung.de // Open Science Conference // Berlin, 21.-22. März 2017
Researchers
deposit find
Qualitative data DIPF
Survey data GESIS
Assessment data IQB
reuse
www.forschungsdaten-bildung.de
FDB-project (German Network for Educational Data): Building a joint service
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1st funding period 2013-2016
forschungsdaten-bildung.de // Open Science Conference // Berlin, 21.-22. März 2017
Data Infrastucture Need for action: coordination
joint point of access and overview to reduce complexity and enhance user-friendliness diversified services need to cooperate and to be coordinated
Coordinated infrastructure in the FDB-project: network architecture (technical, organizational, legal): roles and
responsibilities, shared software tool common metadata set (harmonization) common standards of data curation
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forschungsdaten-bildung.de // Open Science Conference // Berlin, 21.-22. März 2017
Data Infrastucture Need for action: expansion
build Sufficient and adequate capacities adequate services for data types so far underrepresented (qualitative
data, small scale studies data, etc.) services for „local data“: institutional repositories at universities and
research organizations low-threshold services
coordination selection and appraisal of data service level models
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added value service
?
forschungsdaten-bildung.de // Open Science Conference // Berlin, 21.-22. März 2017
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Open Educational Data Why not accomplished yet?
forschungsdaten-bildung.de // Open Science Conference // Berlin, 21.-22. März 2017
Open Educational Data Why not accomplished yet?
two pillars of open education data: Science and RDI educational researcher‘s tasks: motivation and capabilities data infrastructure‘s tasks: specialized services, joint and coordinated
services, sufficient capacities Future challenges:
- How to stimulate data reuse? Qualitative data ? -> Data quality - How to deal with the growing number of data?-> Selection and appraisal - How to build reliable services? -> Sustainability, long-term perspective,
professionalization of data curation activities - and many more…
Collaborative efforts needed!
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forschungsdaten-bildung.de // Open Science Conference // Berlin, 21.-22. März 2017
Forschungsdaten Bildung – German Network for Educational Data • Team DIPF: Doris Bambey, Alexia Meyermann, Maike Porzelt, Thomas
Schwager • Team IQB: Malte Jansen, Claudia Neuendorf, Lisa Pegelow • Team GESIS: Reiner Mauer, Marcus Eisentraut, Karoline Harzenetter
web: www.forschungsdaten-bildung.de E-Mail: [email protected] Phone: + 49 (69) 24708 - 311
Thank you for your attention !
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