Social and Behavioral Sciences Commons^™

When And Why Should Research Data Be Sustained?, Christine Borgman

Christine L. Borgman

The goal of the workshop was to create a forum for direct interaction between the National Science Foundation large facilities and CI developer community – to explore evolving facility needs and approaches for CI, identify issues and solutions, exchange CI best practices and operational experience, and generate recommendations that can guide current and future NSF CI programs.

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

Christine L. Borgman

Data Citation And Scholarship, Christine Borgman

Christine L. Borgman

No abstract provided.

Knowledge Infrastructures In Science: Data, Diversity, And Digital Libraries, Christine L. Borgman, Darch T. Peter, Sands E. Ashley, Pasquetto V. Irene, Golshan S. Milena, Wallis C. Jillian, Traweek Sharon

Christine L. Borgman

Digital libraries can be deployed at many points throughout the life cycles of scientific research projects from their inception through data collection, analysis, documentation, publication, curation, preservation, and stewardship. Requirements for digital libraries to manage research data vary along many dimensions, including life cycle, scale, research domain, and types and degrees of openness. This article addresses the role of digital libraries in knowledge infrastructures for science, presenting evidence from long-term studies of four research sites. Findings are based on interviews (n=208), ethnographic fieldwork, document analysis, and historical archival research about scientific data practices, conducted over the course of more than …

Data, Digital Scholarship, And Dans, Christine L. Borgman

Christine L. Borgman

No abstract provided.

Dataverse In The Universe Of Data, Christine Borgman

Christine L. Borgman

Data repositories are much more than "black boxes" where data go in but may never come out. Rather, they are situated in communities, with contributors, users, reusers, and repository staff who may engage actively or passively with participants. This talk will explore the roles that Dataverse plays – or could play – in individual communities.

Data, Data Everywhere — But How To Manage And Govern?, Christine Borgman

Christine L. Borgman

Universities are drowning in data, not only data produced by their researchers and students, but also data they collect about their communities. Research data are subject to sharing and retention requirements by funding agencies and journals. Data from course management systems, faculty personnel records, security cameras, and social media are being used as indicators for decision making. This talk will identify some of the challenges faced by universities in managing and governing these complex categories of data. Material is drawn from Big Data, Little Data, No Data: Scholarship in the Networked World (Borgman, 2015, MIT Press) and the UCLA Data …

Data, Management, And Digital Science, Christine Borgman

Christine L. Borgman

No abstract provided.

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 …

Big Data And Little Data Across The Disciplines, Christine L. Borgman

Christine L. Borgman

Big data offer a wealth of research opportunities across the scholarly disciplines. Little data similarly offer depth of investigation within and between fields. However, having the right data is usually better than having more data. Enthusiasm for data-driven research 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. 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 …

Why Are Data Sharing And Reuse So Difficult?, Christine L. Borgman

Christine L. Borgman

View a video of the presentation at: https://www.youtube.com/watch?v=tUd39dGMshY&list=PLDMGHArLApSDMMscKU42MmDVs6X026aof&index=7

New Models Of Privacy For The University, Christine L. Borgman, Kent Wada, James F. Davis

Christine L. Borgman

No abstract provided.