What can we learn from collaborative data?

CI-BER launched in 2011 as a cooperative research agreement between NARA (National Archives and Records Administration), NSF (National Science Foundation), and the University of North Carolina at Chapel Hill to build a master copy of billions of federal electronic records and visualize that data in different ways. In fall 2012, CI-BER expanded to include new partners from Duke University, UNC-Asheville, and the City of Asheville, creating a collaborative team that represents computer science, political science, the humanities, engineering, information and library science, three universities, the town of Asheville, and community leaders with a pressing need for big data.

This collection gathers reporting on the multiple facets of this collaboration, not only sharing research results from our experiments and developments, but documenting the practice of collaborating across a complex mix of disciplines, organizations, and institutions. One of our CI-BER goals is to make it possible for users to crowdsource geospatial metadata without changing the underlying record. We are currently developing our plan for citizen-led crowdsourcing that will create access and opportunities for collaboratively contributed content around historically and socially-significant heterogeneous datasets rooted in urban renewal housing records of the Southside neighborhood in Asheville, NC, a historically African-American community.

Collection Content

News / Technology, Networks & Sciences

What Data Can't Do- New York Times article

The article "What Data Can't Do" by David Brooks is from the New York Times online

"Not long ago, I was at a dinner with the chief executive of a large bank. He had just had to decide whether to pull out of Italy, given the weak economy and the prospect of a future euro crisis.

The C.E.O. had his economists project out a series of downside scenarios and calculate what they would mean for his company. But, in the end, he made his decision on the basis of values.

News / Technology, Networks & Sciences

The 'Big Data' Revolution: How Number Crunchers Can Predict Our Lives

Article and audio interview from KUNC 91.5 Community Radio for Northern Colorado

"When the streaming video service Netflix decided to begin producing its own TV content, it chose House of Cards as its first big project. Based on a BBC series, the show stars Kevin Spacey and is directed by David Fincher, and it has quickly become the most watched series ever on Netflix.

News / Technology, Networks & Sciences

Crowd-Sourcing Scoping Study

This is a link to a PDF of the Crowd-Sourcing Scoping Study: Engaging the Crowd with Humanities Research by Stuart Dunn and Mark Hedges from the Centre for e-Research, Department of Digital Humanities King’s College London. The article by Mr. Dunn and Mr. Hedges is an excellent resource for those interested in starting a crowdsourcing project and highlights various research methods, ethical crowdsourcing and includes a list of crowdsourced projects and links to other articles about crowdsourcing.

Link to the PDF:


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