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Program

April 13, 2015

8:00 Registration & Coffee
8:30

Keynote Address: Why are data sharing and reuse so difficult to do? (slide download)(video on YouTube)

Christine Borgman, PhD (@SciTechProf)

Journal articles are not simply containers for data nor are data readily definable objects. Inside the black box of data is a plethora of research, technology, and policy issues. Data are best understood as representations of observations, objects, or other entities used as evidence of phenomena for the purposes of research or scholarship. Rarely do they stand alone, separable from software, protocols, lab and field conditions, and other context. Concerns for data sharing and open access raise questions about what data to keep, what to share, when, how, and with whom. Open data is sometimes viewed simply as releasing data without fees. In research contexts, open data may pose complex issues of licensing, ownership, responsibility, standards, interoperability, and legal harmonization. Agreements on these and many other aspects of data are required, both to share and to reuse them. To scholars, data can be assets, liabilities, or both. To librarians, data also are scholarly products to curate for future users. However, data are much more difficult to manage than publications. Reusing data is often more difficult than collecting new data. This talk, based on the book Big Data, Little Data, No Data: Scholarship in the Networked World, will explore the stakes and stakeholders in research data and the challenges facing scholars, students, librarians, funding agencies, policy makers, publishers, and the public.

9:15

Morning session 1

Brian Wandell, PhD

Neuroimaging Data Management for Reproducible Research (slide download)
(video on YouTube)

Steve Goodman, MD PhD

Sharing data from clinical trials: benefits, harms and challenges (slide download)
(video on YouTube)

Russ Poldrack, PhD (@russpoldrack)

Data sharing for neuroimaging: why, where, and how? (slide download)(video on YouTube)

10:30 Coffee Break & Book Signing

Christine Borgman's Big Data, Little Data, No Data: Scholarship in the Networked World
11:00

Morning Session 2

Michael Rosenfeld, PhD

Data Sharing and Reproducibility in the Social Sciences(slides and video not available)

Audrey Ellerbee, PhD

Cloud OCT: A web-based data- and code-sharing platform for the optical coherence tomography community(slides and video not available)

Mark Musen, MD PhD

Better metadata for better data sharing in biomedicine: The CEDAR project (slide download)(video on YouTube)

12:15

Closing Remarks and Future Directions

Michael Keller, Stanford University Librarian (slide download)(video on YouTube)

12:45 Lunch