Beyond the Data Deluge:

1. Beyond the Data Deluge: A Research Agenda for Large-Scale Sharing and Reuse Ixchel M. Faniel & Ann Zimmerman North Quad, 105 S. State Street Ann Arbor, MI 48109-1285 ifaniel@umich.edu asz@umich.edu 6th International Data Curation Conference Chicago, Illinois USA December 8, 2010

3. Data will be accessible and usable to: • anyone • anytime • anywhere, • for any purpose

4. Research Agenda • Broader participation in data sharing and reuse • Increases in the number and types of intermediaries • More digital data products

5. Findings Across Studies • Infrastructure is important • Magnitude of the change from small to large scale sharing and reuse varies • Data reuse has implications for data sharing • Communication, exchange, partnerships with domain experts is critical

6. Broader Participation: Materials Science • What data practices characterize a materials sciences lab? • Why are these the practices in place? Molecular Beam Epitaxy Chamber – important equipment in this MS lab

7. Materials Science Data • Images • Graphs • Spectra • Columns of numbers RHEED Intensity Graph STM Image

8. Shared Documentation

9. Personalized Practices

10. Findings: Materials Science • Sharing is hard even among members of the same lab! • There was lots of managing and documenting of data. Akmon, Zimmerman, Daniels, & Hedstrom, under review

11. Broader Participation: Citizen Science • How do the needs of different kinds of users influence the sharing of data? • How can different reuse needs be accommodated?

12. Citizen Science Ecosystem Science June Fichter Kathie Weathers David Richardson Lake Sunapee Protective Association Barbara Benson CI-TEAM Ken Chiu Ann Zimmerman Computer science/Info management Human-computer/data interaction

14. Different Types of Intermediaries

15. The George E. Brown Jr., Network for Earthquake Engineering Simulation (NEES) How was the transition from small to large scale data sharing going? How did EE researchers assess the reusability of colleagues’ data?

16. NEES Findings • EE researchers willing to share their data and reuse currently happening on a one-to-one basis • Data producers’ documentation practices were often good enough to understand and trust the data • Transitioning from small to large scale sharing and reuse was difficult, because • Resources were limited • Data producer’s documentation practices were changed (Faniel 2009; Faniel & Jacobsen 2010)

17. Future Research: Personal vs. Public Documentation Needs • What is the perceived vs. the actual gap between data producer and data reuser documentation needs? • How do the gaps affect sharing and reuse outcomes?

18. Future Research: Intermediaries • What are the social organizational, and technical arrangements needed to manage dependencies and coordinate offerings across intermediaries?

19. Common Takeaways Across Our Research Projects • Infrastructure is important • Magnitude of the change from small to large scale sharing and reuse varies • Data reuse has implications for data sharing • Communication, exchange, partnerships with domain experts is critical

20. What’s Next? • Institute of Museum and Library Services (IMLS), National Leadership Grant • Project Title: “Dissemination Information Packages (DIPS) for Information Reuse (DIPIR)” • Principal Investigator: Ixchel M. Faniel • Co-Principal Investigator: Elizabeth Yakel • Grant category: Research

21. The DIPIR Project

22. The DIPIR Project

23. Acknowledgments • NSF Grants OCI 0724300, OCI 0753310, and CMMI-0714116 • IMLS National Leadership Grant • Dharma Akmon & Morgan Daniels, doctoral students, UM School of Information • Kathleen Weathers (PI) and other collaborators on the CI-Team project