Open Access. Powered by Scholars. Published by Universities.®

Social and Behavioral Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Christine L. Borgman

Selected Works

2017

Articles 1 - 11 of 11

Full-Text Articles in Social and Behavioral Sciences

Big Data, Little Data, Or No Data? Scholarship And Stewardship, Christine L. Borgman Dec 2017

Big Data, Little Data, Or No Data? Scholarship And Stewardship, Christine L. Borgman

Christine L. Borgman

UCLA Library & Information Studies Alumni Association
Saturday, December 9, 2017 at 2pm

While the popularity of “big data” reflects the growth of data-intensive research, “little data” remains the norm in those many fields where evidence is scarce and labor-intensive to acquire. Until recently, data was considered part of the process of scholarship, essential but largely invisible. In the “big data” era, data have become valuable products to be captured, shared, reused, and stewarded for the long term. They also have become contentious intellectual property to be protected. Public policy leans toward open access to research data, but rarely provides …


If Data Sharing Is The Answer, What Is The Question?, Christine L. Borgman Nov 2017

If Data Sharing Is The Answer, What Is The Question?, Christine L. Borgman

Christine L. Borgman

Data sharing has become normative policy enforced by governments, funding agencies, journals, and other stakeholders. Reasons for data sharing include leveraging investments in research, reducing the need to collect new data, addressing new research questions by reusing or combining extant data, and reproducing research, which would lead to greater accountability, transparency, and less fraud. Much of the scholarship on data practices attempts to understand the sociotechnical barriers to sharing, with goals to design infrastructures, policies, and cultural interventions that will overcome these barriers. Yet data sharing and reuse are common practice in only a few fields. Astronomy and genomics in …


Open Data, Trust, And Stewardship: Universities At The Privacy Frontier, Christine L. Borgman Nov 2017

Open Data, Trust, And Stewardship: Universities At The Privacy Frontier, Christine L. Borgman

Christine L. Borgman

Berkeley Center for Law and Technology, Tenth Annual Berkeley Law Privacy Lecture

Video available at Berkeley's Box Channel.

Two policy trends in access to data are beginning to clash, raising new challenges for universities and for individual faculty, students, and staff. One trend is for researchers to provide open access to their data as a condition for obtaining grant funding or publishing results in journals. The other trend is for universities to accumulate vast amounts of data about the activities of their communities in research, teaching, learning, services, and administration. Many of these data, both research and operational, fall …


Faculty Engagement To Reduce Pii (Personally Identifiable Information) Risk, Christine L. Borgman, David G. Kay Jun 2017

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 Jun 2017

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 May 2017

The Challenges Of Reproducibility In Data-Scarce Fields, Christine L. Borgman, Peter T. Darch

Christine L. Borgman

Reproducing scientific results is difficult in fields whose research is characterized by large volumes of data, computationally intensive methods, and high degrees of standardization. In data scarce fields, which characterizes much of the earth sciences, reproducing results is even more challenging. Among the factors that limit reproducibility are data access, collection, curation, and accessibility. We discuss the extent to which reproducibility is an appropriate goal in data scarce domains and the tradeoffs between data reuse and reproducibility.


Why Data Sharing And Reuse Are Hard To Do, Christine L. Borgman, Irene V. Pasquetto Apr 2017

Why Data Sharing And Reuse Are Hard To Do, Christine L. Borgman, Irene V. Pasquetto

Christine L. Borgman

Researchers are producing an unprecedented amount of data by using new methods and instrumentation. By accessing and reusing these data, scientists can answer complex research problems that need systemic approaches to knowledge discovery. However, research data are often not readily available, and even when data are shared, they cannot be reused outside their original context of production. Based on our studies of data practices in science, we compare data sharing and reuse challenges faced by researchers in life sciences, oceanography, astronomy, molecular biology, and genomics. Data sharing difficulties include determining what to release, when, in what format, and by what …


On The Reuse Of Scientific Data, Irene V. Pasquetto, Bernadette M. Randles, Christine L. Borgman Mar 2017

On The Reuse Of Scientific Data, Irene V. Pasquetto, Bernadette M. Randles, Christine L. Borgman

Christine L. Borgman

While science policy promotes data sharing and open data, these are not ends in themselves. Arguments for data sharing are to reproduce research, to make public assets available to the public, to leverage investments in research, and to advance research and innovation. To achieve these expected benefits of data sharing, data must actually be reused by others. Data sharing practices, especially motivations and incentives, have received far more study than has data reuse, perhaps because of the array of contested concepts on which reuse rests and the disparate contexts in which it occurs. Here we explicate concepts of data, sharing, …


Users And Uses Of A Digital Data Archive: A Case Study Of Dans, Christine L. Borgman, Ashley E. Sands, Milena S. Golshan Feb 2017

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

As open access to research data becomes a requirement of funding agencies and journals, digital data archives are the preferred mechanisms for data sharing and reuse. While institutional policies support data sharing, surprisingly little is known about the uses and users of digital data archives, and about the relationships between users and the staff of data archives. Digital data archives, however, vary widely in organizational structure, mission, collection, funding, and relationships to their users and other stakeholders. We present a case study of DANS, the Data Archiving and Networked Services of the Netherlands, with the goal of analyzing the uses, …


Big Data, Little Data, Or No Data? Sustaining Access To Research Data, Christine L. Borgman Jan 2017

Big Data, Little Data, Or No Data? Sustaining Access To Research Data, Christine L. Borgman

Christine L. Borgman

The Southern California Climate Data Protection Project is committed to protecting and preserving scientific climate data, through systematic analysis of infrastructures and methods of data collection, curation, and management. We are equally concerned with how access to scientific data allows the public to invest in government accountability and to demand sustainable policies.

This workshop on Inauguration Day was on political action to sustain access to essential data on climate change.
Date: 9am-3pm, January 20, 2017
Location: Department of Information Studies, GSEIS Room 111, UCLA
290 Charles E Young Dr N, Los Angeles, CA 90095


Privacy And Information Technology, Christine L. Borgman Dec 2016

Privacy And Information Technology, Christine L. Borgman

Christine L. Borgman

Privacy is a broad topic that covers many disciplines, stakeholders, and concerns. This course addresses the intersection of privacy and information technology, surveying a wide array of topics of concern for research and practice in the information fields. Among the topics covered are the history and changing contexts of privacy; privacy risks and harms; law, policies, and practices; privacy in searching for information, in reading, and in libraries; surveillance, networks, and privacy by design; information privacy of students; uses of learning analytics; privacy associated with government data, at all levels of government; information security, cyber risk; and how privacy and …