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Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
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- Scientific Data Practices (21)
- Scholarly Communication (12)
- Information Seeking (7)
- Data (6)
- Data practices (6)
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- CENS Data Practices (5)
- Cyberinfrastructure (5)
- Data Citation (5)
- Digital Libraries (5)
- International & Comparative (5)
- Research data (5)
- Data reuse (4)
- Education & Learning (4)
- Information Seeking & Retrieval (4)
- Open access (4)
- Scholarly communication (4)
- Astronomy (3)
- Data sharing (3)
- Digital Humanities (3)
- EScience (3)
- Information policy (3)
- Scientific data (3)
- Statistics and Data Practices (3)
- User-centered design (3)
- Collaboration. (2)
- Curation (2)
- Data citation (2)
- Data curation (2)
- Data repositories (2)
- Deep Subseafloor Biosphere Data Practices (2)
Articles 1 - 30 of 74
Full-Text Articles in Social and Behavioral Sciences
Big Data, Little Data, Or No Data? Scholarship And Stewardship, Christine L. Borgman
Big Data, Little Data, Or No Data? Scholarship And Stewardship, Christine L. Borgman
Christine L. Borgman
If Data Sharing Is The Answer, What Is The Question?, Christine L. Borgman
If Data Sharing Is The Answer, What Is The Question?, Christine L. Borgman
Christine L. Borgman
Open Data, Trust, And Stewardship: Universities At The Privacy Frontier, Christine L. Borgman
Open Data, Trust, And Stewardship: Universities At The Privacy Frontier, Christine L. Borgman
Christine L. Borgman
Faculty Engagement To Reduce Pii (Personally Identifiable Information) Risk, Christine L. Borgman, David G. Kay
Faculty Engagement To Reduce Pii (Personally Identifiable Information) Risk, Christine L. Borgman, David G. Kay
Christine L. Borgman
No abstract provided.
Big Data, Little Data, Or No Data? Knowledge Infrastructures For The Earth Sciences, Christine L. Borgman
Big Data, Little Data, Or No Data? Knowledge Infrastructures For The Earth Sciences, Christine L. Borgman
Christine L. Borgman
No abstract provided.
The Challenges Of Reproducibility In Data-Scarce Fields, Christine L. Borgman, Peter T. Darch
The Challenges Of Reproducibility In Data-Scarce Fields, Christine L. Borgman, Peter T. Darch
Christine L. Borgman
Why Data Sharing And Reuse Are Hard To Do, Christine L. Borgman, Irene V. Pasquetto
Why Data Sharing And Reuse Are Hard To Do, Christine L. Borgman, Irene V. Pasquetto
Christine L. Borgman
On The Reuse Of Scientific Data, Irene V. Pasquetto, Bernadette M. Randles, Christine L. Borgman
On The Reuse Of Scientific Data, Irene V. Pasquetto, Bernadette M. Randles, Christine L. Borgman
Christine L. Borgman
Users And Uses Of A Digital Data Archive: A Case Study Of Dans, Christine L. Borgman, Ashley E. Sands, Milena S. Golshan
Users And Uses Of A Digital Data Archive: A Case Study Of Dans, Christine L. Borgman, Ashley E. Sands, Milena S. Golshan
Christine L. Borgman
Big Data, Little Data, Or No Data? Sustaining Access To Research Data, Christine L. Borgman
Big Data, Little Data, Or No Data? Sustaining Access To Research Data, Christine L. Borgman
Christine L. Borgman
Privacy And Information Technology, Christine L. Borgman
Privacy And Information Technology, Christine L. Borgman
Christine L. Borgman
Motivations For Sharing And Reusing Data:#11; Complexities And Contradictions In The Use Of A Digital Data Archive#0;, Christine L. Borgman, Andrea Scharnhorst, Henk Van Den Berg, Ashley E. Sands, Milena S. Golshan, Andrew Treloar
Motivations For Sharing And Reusing Data:#11; Complexities And Contradictions In The Use Of A Digital Data Archive#0;, Christine L. Borgman, Andrea Scharnhorst, Henk Van Den Berg, Ashley E. Sands, Milena S. Golshan, Andrew Treloar
Christine L. Borgman
No abstract provided.
Rethinking Scholarship: Data Analytics In Chinese Buddhist Philology, Christine L. Borgman
Rethinking Scholarship: Data Analytics In Chinese Buddhist Philology, Christine L. Borgman
Christine L. Borgman
Big Data, Little Data, No Data – Who Is In Charge Of Data Quality?, Christine L. Borgman, Andrea Scharnhorst
Big Data, Little Data, No Data – Who Is In Charge Of Data Quality?, Christine L. Borgman, Andrea Scharnhorst
Christine L. Borgman
Creating, Collaborating, And Celebrating The Diversity Of Research Data, Christine L. Borgman
Creating, Collaborating, And Celebrating The Diversity Of Research Data, Christine L. Borgman
Christine L. Borgman
No abstract provided.
Syllabus For Phd Seminar On Research Methods And Design, Christine L. Borgman
Syllabus For Phd Seminar On Research Methods And Design, Christine L. Borgman
Christine L. Borgman
Data, Digital Scholarship, And Dans, Christine L. Borgman
Data, Digital Scholarship, And Dans, Christine L. Borgman
Christine L. Borgman
No abstract provided.
Why Data Are Not Publications: Potential Potholes For Stm Publishers, Christine L. Borgman
Why Data Are Not Publications: Potential Potholes For Stm Publishers, Christine L. Borgman
Christine L. Borgman
Research data have become scholarly objects in their own right, to be released, shared, and reused. “Data publishing” has become a popular metaphor for dissemination activities. While metaphors can provide useful analogies, they also can be misleading. This one is particularly problematic because it equates research data with publications such as journal articles. Journal articles are a genre that evolved over a period of several centuries as a way to make scholarly arguments, whereas data are the evidence that support those arguments. Efforts to transfer publication practices such as bibliographic citation and altmetrics to data are based on risky assumptions …
New Models Of Privacy For The University, Christine L. Borgman, Kent Wada, James F. Davis
New Models Of Privacy For The University, Christine L. Borgman, Kent Wada, James F. Davis
Christine L. Borgman
No abstract provided.
The Knowledge Infrastructure Of Astronomy, Christine L. Borgman
The Knowledge Infrastructure Of Astronomy, Christine L. Borgman
Christine L. Borgman
Big data, data-intensive science, and eScience are contemporary terms to describe research fields that generate, manipulate, and manage large volumes of data. Astronomy was among the first data-intensive fields, hence many other domains wish to learn from the experience of astronomers. Their knowledge infrastructure – an ecology of people, practices, technologies, institutions, material objects, and relationships – has accumulated over millennia. Over the last several decades, the practice of astronomy has transitioned from analog to digital technologies. In turn, the broad adoption of common tools, standards, and technologies has enabled astronomers to construct infrastructure components such as the Astrophysics Data …
Data Scholarship In The Humanities, Christine L. Borgman
Data Scholarship In The Humanities, Christine L. Borgman
Christine L. Borgman
No abstract provided.
Big Data, Little Data, Open Data, And Scholarship, Christine L. Borgman
Big Data, Little Data, Open Data, And Scholarship, Christine L. Borgman
Christine L. Borgman
The enthusiasm for big data is obscuring the complexity and diversity of data in scholarship and the challenges for stewardship. Data practices are local, varying from field to field, individual to individual, and country to country. They are a lens to observe the rapidly changing landscape of scholarly work in the sciences, social sciences, and the humanities. 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 …
Keynote: Data, Data, Everywhere, Nor Any Drop To Drink (Slides), Christine L. Borgman
Keynote: Data, Data, Everywhere, Nor Any Drop To Drink (Slides), Christine L. Borgman
Christine L. Borgman
The Research Data Alliance is convening researchers, policy makers, funders, repository managers, librarians, archivists, publishers, open data activists, and other stakeholders to address the stewardship of the world’s research data assets. Overarching issues are becoming clear: the need for coordination among stakeholders, economic challenges to the sustainability of archives, and misaligned public policies for open access to publications and data. The practice and policy issues on the ground are much less well understood, however. Norms for the acquisition, release, and reuse of data –and the very definition of data – vary widely between research domains, and motivations to share data …
The Ups And Downs Of Knowledge Infrastructures In Science: Implications For Data Management (Slides), Christine L. Borgman, Peter T. Darch, Ashley E. Sands, Jillian C. Wallis, Sharon Traweek
The Ups And Downs Of Knowledge Infrastructures In Science: Implications For Data Management (Slides), Christine L. Borgman, Peter T. Darch, Ashley E. Sands, Jillian C. Wallis, Sharon Traweek
Christine L. Borgman
No abstract provided.
Keynote Address: "Local Or Global? Making Sense Of The Data Sharing Imperative", Christine L. Borgman
Keynote Address: "Local Or Global? Making Sense Of The Data Sharing Imperative", Christine L. Borgman
Christine L. Borgman
Christine Borgman, PhD, is Professor and Presidential Chair in Information Studies at the University of California, Los Angeles. She spoke about the transition from viewing data as byproducts of scholarly research to viewing them as essential scholarly capital to be managed, shared, and leveraged.
Big Data, Open Data: Finding A Needle In A Digital Haystack, Christine L. Borgman
Big Data, Open Data: Finding A Needle In A Digital Haystack, Christine L. Borgman
Christine L. Borgman
Slides posted: https://cha.house.gov/2014-legislative-data-and-transparency-conference
Data, Metadata, And Ted, Christine L. Borgman
Data, Metadata, And Ted, Christine L. Borgman
Christine L. Borgman
Ted Nelson coined the term “hypertext” and developed Xanadu in a universe parallel to the one in which librarians, archivists, and documentalists were creating metadata to establish cross-connections among the myriad topics of this world. When these universes collided, comets exploded as ontologies proliferated. Black holes were formed as data disappeared through lack of description. Today these universes coexist, each informing the other, if not always happily: the formal rules of metadata, the chaos of crowdsourcing, the complex paths of linked open data, and copious efforts to establish best practices for the citation of complex objects such as research data. …
The Roles Of Data Citation In Data Management, Christine L. Borgman
The Roles Of Data Citation In Data Management, Christine L. Borgman
Christine L. Borgman
NISO Virtual Conference: Dealing with the Data Deluge: Successful Techniques for Scientific Data Management http://www.niso.org/news/events/2014/virtual/data_deluge/ One of the continuing barriers to managing data for reuse is that authors rarely cite the data they use. The problem is manifold. Many stakeholders with competing interests are concerned with data citation, including authors, publishers, funding agencies, universities, libraries, repositories, and commercial and public interest groups. Goals and practices for citation mechanisms vary accordingly, such as credit, attribution, discovery, licensing, access, curation, and reuse. The problem of data citation is not simply a technical matter of mapping bibliographic citation methods. Rather, it is a …
Ship Space To Database: Scientific And Social Motivations For A Database To Support Deep Subseafloor Biosphere Research, Peter Darch, Christine L. Borgman
Ship Space To Database: Scientific And Social Motivations For A Database To Support Deep Subseafloor Biosphere Research, Peter Darch, Christine L. Borgman
Christine L. Borgman
What motivates the building of databases by scientific collaborations? In this paper, we argue that not only are databases being built to support scientific work per se, but also with the intention of performing a variety of social functions. To explore this, we present findings from a longitudinal ethnographic case study of a large, multidisciplinary, distributed scientific project studying subseafloor microbial life. A critical element of this project’s Data Management Plan is the construction of a data portal. We found a range of factors motivating not only the very construction of this portal, but also the inclusion of particular features. …
Ann O'Brien Memorial Tribute, Christine L. Borgman
Ann O'Brien Memorial Tribute, Christine L. Borgman
Christine L. Borgman
No abstract provided.