1. Introducing da|raSearchNet
The integrated data portal for the social sciences
Tanja Friedrich, Brigitte Hausstein, Daniel Hienert, GESIS

2. What‘s inside? Context da|raSearchNet: idea and goals
Development of da|raSearchNet
Outlook

3. What‘s inside? Context da|raSearchNet: idea and goals
Development of da|raSearchNet
Outlook

4. Culture of data sharing
Influence of data-driven research on scientific discovery: The Fourth Paradigm of research has produced a data deluge.
In Hey et al “The Fourth Paradigm“ is used to depict the influence of data-intensive research on scientific discovery. The term originated in a research group around computer scientist Jim Gray (Lynch 2009, p. 177.)
The term data deluge is depicting “the imminent flood of scientific data” in the context of collaborative e-science (Hey/Trefethen 2003, p. 809). It has been taken up by numerous authors to illustrate the challenge of dealing with growing research data output.

5. Culture of data sharing
Increasingly, data producers are obliged to publish their data for purposes of results validation and reuse.
In its “Principles and Guidelines for Access to Research Data from Public Funding”, the OECD states as its first aim and objective to “Promote a culture of openness and sharing of research data among the public research communities within member countries and beyond” (OECD 2007).
Funding agencies around the world at least commit researchers to archive their produced data for a defined time span (the German Research Foundation requires a minimum of 10 years, cf. Deutsche Forschungsgemeinschaft 1998, p. 12) and support data sharing (e.g. the German Research Foundation alongside other German research bodies, cf. Alliance of German Science Organisations 2010); other agencies, such as the US-American National Science Foundation, expect grantees to share – among other information – their primary data with other researchers (National Science Foundation 2012, chapter VI.D.4) or, as in the case of the British Economic and Social Research Council, make data sharing mandatory “to the maximum extend possible” (Economic and Social Research Council 2010, p. 2).

6. Data sharing infrastructure
Data sharing is dependent on infrastructure:
Data repositories
Data catalogues …
For data producers as well as data reusers
Deposit safe by hugovk is licensed under CC BY-NC-SA 2.0

7. Data sharing infrastructure
Examples:
DataCite
EUDAT
figshare …
 never comprehensive, not cross-linked

8. Data sharing infrastructure
Even within disciplinary boundaries, the landscape of data sharing infrastructure is scattered and diversified …

10. What‘s inside? Context da|raSearchNet: idea and goals
Development of da|raSearchNet
Outlook

11. Rationale
Present situation when searching for social science data: knocking on many doors
Vác Gates & Doors - The "Portrait" Collection by istvan is licensed under CC BY-NC-ND 2.0

12. Rationale
Need for one comprehensive service for secondary researchers looking for social science data
The Arched Entrance by highlights6 is licensed under CC BY-NC-ND 2.0

13. Rationale da|raSearchNet
Need for one comprehensive service for secondary researchers looking for social science data
da|raSearchNet
The Arched Entrance by highlights6 is licensed under CC BY-NC-ND 2.0

14. Point of departure

15. Point of departure
da|ra registration agency

16. Point of departure da|ra registration agency
… a DOI-service primarily aimed at making data citable:

17. Point of departure da|ra registration agency
… a DOI-service primarily aimed at making data citable:

18. Point of departure
da|ra is a Service for data producers rather than data reusers

19. Point of departure
Metadata search in the da|ra database is the nucleus for da|raSearchNet

20. Point of departure
Metadata search in the da|ra database is the nucleus for da|raSearchNet

21. da|ra – where we stand
Comprehensive Metadata (discipline-specific) for citation of datasets
Basic search functionality
Focus on German and US data (GESIS and ICPSR)

22. da|raSearchNet – what we aim at

23. da|raSearchNet – what we aim at
Acquire more publication agents who register their data via da|ra

24. da|raSearchNet – what we aim at
Include more entries for data that are not being registered via da|ra (automation supported)

25. da|raSearchNet – what we aim at
Integration of metadata from other services

26. da|raSearchNet – what we aim at
Improved search with value-added services

27. What‘s inside? Context da|raSearchNet: idea and goals
Development of da|raSearchNet
Outlook

28. How to develop da|raSearchNet

29. How to develop da|raSearchNet
International networking and cooperation

30. How to develop da|raSearchNet
International networking and cooperation
Metadata standardization

31. How to develop da|raSearchNet
International networking and cooperation
Metadata standardization
Metadata exchange

32. How to develop da|raSearchNet
International networking and cooperation
Metadata standardization
Metadata exchange
Search engine technology

33. How to develop da|raSearchNet
International networking and cooperation
Metadata standardization
Metadata exchange
Search engine technology
da|raSearchNet

34. International networking and cooperation
Incorporation of further international programmes
Including metadata from international sources
Cooperation within RDA

35. Metadata standardization

36. Metadata standardization
Further development of da|ra 3.0 metadata scheme

37. Metadata standardization
Further development of da|ra 3.0 metadata scheme
RDA WG:
interoperability of da|ra and Data-PASS
cross-platform discovery based on DDI model

38. Metadata exchange
Several other data repositories and portals offer free access to their metadata via OAI-PMH or Web API
exchange_place by _SiD_ is licensed under CC BY-NC-ND 2.0

39. Metadata exchange da|raSearchNet will feature
an OAI harvester for harvesting metadata
and an API for exchange metadata with other services

40. Metadata exchange
Researchers who are looking for data can search all these metadata in one interface: da|raSearchNet

41. Search engine technology
Improvement of the existing da|ra search
Adapting the search to an increased metadata pool
Simple and advanced search, facetted search

42. Search engine technology
Added value for data seekers
Personalized services (search history, watch list, RSS feed …)
Search term recommender
Content syndication

43. What‘s inside? Context da|raSearchNet: idea and goals
Development of da|raSearchNet
Outlook

44. Outlook

45. Outlook
Cooperation within RDA has started

46. Outlook Cooperation within RDA has started
Search interface is already being improved

47. Outlook Cooperation within RDA has started
Search interface is already being improved
Further development is still dependent on approval of grant proposal

48. Thank you for your attention!
Tanja Friedrich
Brigitte Hausstein
Daniel Hienert