The data deluge has arrived. Data-driven science is accelerating rapidly, but without the necessary social, technical, or policy infrastructure to support the capture, management, curation, use, and reuse of those data. Universities, libraries, funding agencies, and investigators are making critical decisions about what data to keep, in what form, for how long, and at what price. Academic programs are struggling to teach new skills in data management and policy, within the disciplines and within the information professions. All of these efforts are hampered by the lack of robust research that compares sites, disciplines, practices, and policies over a long period of time. The UCLA Knowledge Infrastructures Team studying data, data practices, and data curation brings to this problem several decades of research experience in the social studies of science, digital libraries, and information systems design and development. Related projects by each of the investigators are linked individually.

From Left: Sharon Traweek, Peter Darch, Christine L. Borgman, Ashley Sands, Irene Pasquetto, and Milena Golshan.
Photo by: Kristin Cornelius.

 

Ashley Sands presents at the 225th AAS Meeting in Seattle, WA

On January 8th, our doctoral candidate Ashley Sands gave a presentation “Managing Astronomy Research Data: Case Studies of Big and Small Research Projects” at the 225th American Astronomical Society (AAS) Meeting in Seattle, WA. The presentation focused on the aspects...

Professor Borgman presents at 2015 FaceBase Annual Meeting

During the 2015 FaceBase Annual Meeting in Marina del Rey, CA, Professor Borgman gave a presentation “Why are data sharing and reuse so difficult?” Dr. Borgman discussed issues related to generating and sharing research data and presented the work of our UCLA...

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