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Social and Behavioral Sciences Commons

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2012

Selected Works

Library and Information Science

Scientific Data Practices

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Articles 1 - 10 of 10

Full-Text Articles in Social and Behavioral Sciences

Follow The Data: How Astronomers Use And Reuse Data (Poster), Christine L. Borgman, Ashley Sands, Laura Wynholds, Sharon Traweek Oct 2012

Follow The Data: How Astronomers Use And Reuse Data (Poster), Christine L. Borgman, Ashley Sands, Laura Wynholds, Sharon Traweek

Christine L. Borgman

We analyze the people and infrastructure involved in the building, sustaining, and curation of large astronomy sky surveys. Our research assesses what new infrastructures, divisions of labor, knowledge, and expertise are necessary for the proper care of data. Between May 2011- February 2012, we conducted fourteen interviews employing Sloan Digital Sky Survey (SDSS) data use as the focus. SDSS is a multi-faceted, multi-phased data-driven telescope project with hundreds of collaborators and thousands of users of the open data. The Follow the Data interview protocol identifies a single publication authored by each interviewee and uses it as a lens looking backward …


Follow The Data: How Astronomers Use And Reuse Data, Christine L. Borgman, Ashley Sands, Laura Wynholds, Sharon Traweek Oct 2012

Follow The Data: How Astronomers Use And Reuse Data, Christine L. Borgman, Ashley Sands, Laura Wynholds, Sharon Traweek

Christine L. Borgman

We analyze the people and infrastructure involved in the building, sustaining, and curation of large astronomy sky surveys. Our research assesses what new infrastructures, divisions of labor, knowledge, and expertise are necessary for the proper care of data. Between May 2011- February 2012, we conducted fourteen interviews employing Sloan Digital Sky Survey (SDSS) data use as the focus. SDSS is a multi-faceted, multi-phased data-driven telescope project with hundreds of collaborators and thousands of users of the open data. The Follow the Data interview protocol identifies a single publication authored by each interviewee and uses it as a lens looking backward …


Who’S Got The Data? Interdependencies In Science And Technology Collaborations, Christine L. Borgman, Jillian C. Wallis, Matthew S. Mayernik Jul 2012

Who’S Got The Data? Interdependencies In Science And Technology Collaborations, Christine L. Borgman, Jillian C. Wallis, Matthew S. Mayernik

Christine L. Borgman

Science and technology always have been interdependent, but never more so than with today’s highly instrumented data collection practices. We report on a long-term study of collaboration between environmental scientists (biology, ecology, marine sciences), computer scientists, and engineering research teams as part of a five-university distributed science and technology research center devoted to embedded networked sensing. The science and technology teams go into the field with mutual interests in gathering scientific data. “Data” are constituted very differently between the research teams. What are data to the science teams may be context to the technology teams, and vice versa. Interdependencies between …


Data, Data Use, And Scientific Inquiry: Two Case Studies Of Data Practices [Presentation Slides], Wynholds A. Laura, Jillian C. Wallis, Christine L. Borgman, Ashley Sands, Sharon Traweek May 2012

Data, Data Use, And Scientific Inquiry: Two Case Studies Of Data Practices [Presentation Slides], Wynholds A. Laura, Jillian C. Wallis, Christine L. Borgman, Ashley Sands, Sharon Traweek

Christine L. Borgman

Powerpoint Presentation from the 2012 Joint Conference on Digital Libraries (JCDL).

Wynholds, L. A., Wallis, J. C., Borgman, C. L., Sands, A., & Traweek, S. (2012). Data, data use, and scientific inquiry (p. 19). ACM Press. doi:10.1145/2232817.2232822


Local Or Global? Making Sense Of The Data Sharing Imperative, Christine L. Borgman Apr 2012

Local Or Global? Making Sense Of The Data Sharing Imperative, Christine L. Borgman

Christine L. Borgman

The deluge of research data has excited researchers, policy makers and the general public with the possibilities for exploring problems from climate to culture. Yet the very definition of “data” is contested, and determining whether something is “independently understandable” is problematic. Data rarely are simple objects that can be easily shared; rather they embody the epistemological perspectives of their creators/collectors/producers/authors. This talk will explore the matches and mismatches of motivations, interests and incentives of stakeholders in research data.


Research Data, Reproducibility, And Curation, Christine L. Borgman Mar 2012

Research Data, Reproducibility, And Curation, Christine L. Borgman

Christine L. Borgman

No abstract provided.


Why Are The Attribution And Citation Of Scientific Data Important? In: Uhlir, Paul And Cohen, Daniel (Eds.). Report From Developing Data Attribution And Citation Practices And Standards: An International Symposium And Workshop., Christine L. Borgman Dec 2011

Why Are The Attribution And Citation Of Scientific Data Important? In: Uhlir, Paul And Cohen, Daniel (Eds.). Report From Developing Data Attribution And Citation Practices And Standards: An International Symposium And Workshop., Christine L. Borgman

Christine L. Borgman

Keynote address from the Developing Data Attribution and Citation Practices and Standards: An International Symposium and Workshop in Berkeley, CA on 22 August 2011. Keynote speech is contained within the forthcoming 2012 Report from Developing Data Attribution and Citation Practices and Standards: An International Symposium and Workshop published by the National Academy of Sciences.

Preferred Citation: Borgman, C.L. (2012, forthcoming). Why are the attribution and citation of scientific data important? In: Uhlir, Paul and Cohen, Daniel (eds.). Report from Developing Data Attribution and Citation Practices and Standards: An International Symposium and Workshop. National Academy of Sciences’ Board on Research Data …


Data, Data Use, And Scientific Inquiry: Two Case Studies Of Data Practices, Christine L. Borgman Dec 2011

Data, Data Use, And Scientific Inquiry: Two Case Studies Of Data Practices, Christine L. Borgman

Christine L. Borgman

Data are proliferating far faster than they can be captured, managed, or stored. What types of data are most likely to be used and reused, by whom, and for what purposes? Answers to these questions will inform information policy and the design of digital libraries. We report findings from semi-structured interviews and field observations to investigate characteristics of data use and reuse and how those characteristics vary within and between scientific communities. The two communities studied are researchers at the Center for Embedded Network Sensing (CENS) and users of the Sloan Digital Sky Survey (SDSS) data. The data practices of …


The Conundrum Of Sharing Research Data (2011 Pre-Publication Manuscript), Christine L. Borgman Dec 2011

The Conundrum Of Sharing Research Data (2011 Pre-Publication Manuscript), Christine L. Borgman

Christine L. Borgman

New methods and instrumentation are producing an unprecedented deluge of research data. The volume of data, combined with new means of distribution and mining, has excited funding agencies, policy makers, and the general public with promises of discovery and innovation. Many stakeholders now expect data to be released, yet sharing is common in only a few fields such as astronomy and genomics. In other fields, some researchers share their data routinely, others never share their data, and most appear willing to share some of their data some of the time. Data sharing is thus a conundrum – “an intricate and …


Data, Data Use, And Inquiry: A New Point Of View On Data Curation, Jillian C. Wallis, Laura A. Wynholds, Christine L. Borgman, Ashley E. Sands, Sharon Traweek Dec 2011

Data, Data Use, And Inquiry: A New Point Of View On Data Curation, Jillian C. Wallis, Laura A. Wynholds, Christine L. Borgman, Ashley E. Sands, Sharon Traweek

Christine L. Borgman

Data are proliferating far faster than they can be captured, managed, or stored. What types of data are most likely to be used and reused, by whom, and for what purposes? Answers to these questions will inform information policy and the design of digital libraries.

We report findings from semi-structured interviews and field observations to investigate characteristics of data use and reuse and how those characteristics vary within and between scientific communities. The two communities studied are the researchers at the Center for Embedded Network Sensing (CENS) and users of the Sloan Digital Sky Survey (SDSS) data. We found that …