Open Access. Powered by Scholars. Published by Universities.®
Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
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- Data Citation (4)
- Data reuse (4)
- Scientific Data Practices (4)
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- Scholarly communication (3)
- Statistics and Data Practices (3)
- Education & Learning (2)
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- Big data (1)
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Articles 1 - 9 of 9
Full-Text Articles in Social and Behavioral Sciences
Big Data, Little Data, No Data: The Contested Landscape Of Data Sharing And Reuse, Christine L. Borgman
Big Data, Little Data, No Data: The Contested Landscape Of Data Sharing And Reuse, Christine L. Borgman
Christine L. Borgman
Scholars are being asked — by funding agencies and publishers alike — to release their data along with each publication, as though journal articles were merely containers of data. Data are amorphous and dynamic entities, best understood as evidence in support of an argument. The enthusiasm for “big data” obscures the complexity and diversity of data and of data practices across the disciplines. While open scholarship has been the norm for several centuries, open access to data is a profound shift in scholarly practice. This talk is based on a forthcoming book from MIT Press, “Big Data, Little Data, No …
Data Sharing: A Problem Of Supply Or Of Demand?, Christine L. Borgman
Data Sharing: A Problem Of Supply Or Of Demand?, Christine L. Borgman
Christine L. Borgman
Knowledge sharing in science includes sharing research data. Research funding agencies have focused on increasing the supply of data by requiring data management plans and data sharing. Policy makers have paid surprisingly little attention to the demand for data. It stands to reason that if scholars actively sought data for reuse, then more data would be shared. The few studies that exist on the demand for extant data suggest that researchers rarely are asked for their data and rarely seek data from other investigators. Many investigators have difficulty imagining who might want their data or for what purposes they might …
Why You Should Care About Open Data: Open Access Week Thoughts On Why Research Data Rarely Are Reused, Christine L. Borgman
Why You Should Care About Open Data: Open Access Week Thoughts On Why Research Data Rarely Are Reused, Christine L. Borgman
Christine L. Borgman
Scholarly knowledge-sharing includes sharing research data, but while the supply of data is growing rapidly, demand exists in only a few research communities. This appears to be caused by factors related to trust, application, and practices. When collecting one’s own data, a researcher knows its origins, transformations, analyses, assumptions, strengths, limitations, access conditions, and likely longevity, but researchers may not have that information about data acquired from other parties. Librarians, archivists, and data scientists assist scholars with managing, curating, and disseminating their data, recommending practices with reuse in mind whenever possible. This lecture is by Christine L. Borgman, professor and …
Why Are Scientific Data Rarely Reused? (Keynote), Christine L. Borgman
Why Are Scientific Data Rarely Reused? (Keynote), Christine L. Borgman
Christine L. Borgman
Knowledge sharing in science includes sharing research data. While the supply of scientific data is growing rapidly, demand exists in only a few research communities. The mismatch is not simply a matter of price point or of the efficiency of markets. Rather, it appears to be due to matters of trust, application, and practices. When collecting one’s own data, a researcher knows the origins, transformations, analyses, assumptions, strengths, and limitations of those data. Also known are the conditions of access to those data and their likely longevity. None of these factors may be known about data acquired from other parties. …
Scholarship In The Networked World: Big Data, Little Data, No Data, Christine L. Borgman
Scholarship In The Networked World: Big Data, Little Data, No Data, Christine L. Borgman
Christine L. Borgman
Scholars are expected to publish the results of their work in journals, books, and other venues. Now they are being asked to publish their data as well, which marks a fundamental transition in scholarly communication. Data are not shiny objects that are easily exchanged. Rather, they are fuzzy and poorly bounded entities. The enthusiasm for "big data" is obscuring the complexity and diversity of data and of data practices across the disciplines. Data flows are uneven– abundant in some areas and sparse in others, easily or rarely shared. Open access and open data are contested concepts that are often conflated. …
Big Data And The Long Tail: Use And Reuse Of Little Data, Christine L. Borgman
Big Data And The Long Tail: Use And Reuse Of Little Data, Christine L. Borgman
Christine L. Borgman
Big data gets all the attention but little data are the norm in most fields. Scientists, social scientists, and humanities scholars alike tend to work in small groups and on projects of a year or two in length. The resulting datasets tend to be small, local, and not easily shared. The talk will characterize the problem of long tail data and identify factors that determine how well data can be transferred between contexts. These include provenance, metadata, documentation, and features of the data and of the research methods. Case studies of astronomy and sensor networked science are presented and compared. …
Local Or Global? Making Sense Of The Data Sharing Imperative, Christine L. Borgman
Local Or Global? Making Sense Of The Data Sharing Imperative, Christine L. Borgman
Christine L. Borgman
No abstract provided.
Where’S All That Good Data I Keep Hearing About? Issues In The Creation And Reuse Of Research Data, Christine L. Borgman
Where’S All That Good Data I Keep Hearing About? Issues In The Creation And Reuse Of Research Data, Christine L. Borgman
Christine L. Borgman
No abstract provided.
Knowledge Infrastructures: Intellectual Frameworks And Research Challenges, Christine L. Borgman, Paul N. Edwards, Steven J. Jackson, Melissa K. Chalmers, Geoffrey C. Bowker, David Ribes, Matt Burton, Scout Calvert
Knowledge Infrastructures: Intellectual Frameworks And Research Challenges, Christine L. Borgman, Paul N. Edwards, Steven J. Jackson, Melissa K. Chalmers, Geoffrey C. Bowker, David Ribes, Matt Burton, Scout Calvert
Christine L. Borgman
No abstract provided.