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.

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 …

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.

Research Data, Libraries, And Croatia, Christine Borgman

Christine L. Borgman

No abstract provided.

Keynote: Big Data, Big Opportunities, Christine Borgman

Christine L. Borgman

The enthusiasm for big data is obscuring the complexity and diversity of data in scholarship and the challenges for stewardship. Inside the black box of data are a plethora of research, technology, and policy issues. Data are not shiny objects that are easily exchanged. Rather, data are representations of observations, objects, or other entities used as evidence of phenomena for the purposes of research or scholarship. 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, …

The Data Dance, Christine Borgman

Christine L. Borgman

Despite first appearing in an academic publication only in 2003, the term “big data” has swiftly become central to technology and social science. While bearing deep histories, big data is clearly linked to developments in computational storage, algorithmic analysis, mobile devices, and online sociality. But big data is also debated in the blogosphere, portrayed in mass media, discussed in everyday life. The goal of this workshop is to take these multiple meanings and practices of big data seriously by placing them in conversation with ethnographic methods. Big data has sometimes been said to imply the “death of ethnographic methods” because …

The Role Of Data Citation In Scholarly Communication, Christine Borgman

Christine L. Borgman

No abstract provided.

Big Data, Little Data, No Data: Scholarship In The Networked World, Christine Borgman

Christine L. Borgman

The enthusiasm for “big data” is obscuring the complexity and diversity of data in scholarship. Inside the black box of “data” is a plethora of behaviour, technology, and policy issues. Publish or perish remains the clarion call of today’s scholars. Now they are being asked to release 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. Data flows are uneven – abundant in some areas and sparse in others, easily or rarely shared. Open access and open data are contested …

Phd Seminar On Research Methods And Design, Christine Borgman

Christine L. Borgman

This is the core course in social science research methods and research design for PhD students in information studies. It follows 291A, Theoretical Traditions In Information Studies. Graduate students in Information Studies or related fields (education, communication, public policy, management, psychology, etc.) who have not taken 291A but who have extensive background in epistemology or research methods may enroll with instructor’s permission. Also prerequisite is at least one course in descriptive and inferential statistics.

The course is conducted as a workshop, drawing upon students’ research projects as cases. We will survey quantitative and qualitative research designs and address research ethics …

Data, Data Practices, And Data Curation, Part Ii, Christine Borgman

Christine L. Borgman

In today’s technology-intensive research environments, petabytes of data may be produced in a matter of days, weeks, or months. Those data may be lost in a similar amount of time if they are not captured, curated, and marked up in ways that allow for discovery and reuse by others. Datasets large and small can be very useful not only to researchers, but also to students, to the general public, and to policy makers. Among the classes of data of broad general interest are scientific records of the climate, the skies and galaxies, plant and animal species, social and economic observations, …

Digital Scholarship And Digital Libraries: Past, Present, And Future, Christine Borgman

Christine L. Borgman

In a few short decades, the practices of scholarship have been transformed by the use of digital resources, tools, and services. Some shifts are obvious, such as seeking, reading, and publishing research online, often to the exclusion of print. Other shifts are subtle, such as data being viewed as research products to be disseminated. Research objects are more atomized, yet aggregated in new ways. Digital technologies offer opportunities to innovate in scholarly practice, collaboration, and communication. Innovation in digital libraries is necessary to advance digital scholarship. The talk will present a set of challenges for 21st century research and practice …

Digital Research: Crossing Over Disciplines, Christine Borgman

Christine L. Borgman

No abstract provided.

"Problems Of Attribution" Attribution: Managing Provenance, Ethics, And Metrics, Christine Borgman

Christine L. Borgman

While it seems that digitized scholarship should lead the way to better discoverability and attribution, the age-old problems still plague us: confusion about names, siloed data, lack of or difficult communication between organizations. This meeting, hosted jointly by Dryad and ORCID, provides a venue to discuss these issues and learn about the initiatives underway to to address them, including social aspects of attribution, the persistent identifiers for researchers and their work, and development of interoperable methods for storing and calling data.

"Problems of Attribution" Slides: Data attribution and citation; CODATA and developing data attribution and citation practices and standards; Driving …

Sharing, Reusing, And Repurposing Data, Christine Borgman

Christine L. Borgman

No abstract provided.

Reproducibility: Gold Or Fool’S Gold In Digital Social Research?, Christine Borgman

Christine L. Borgman

Data sharing has become a core tenet of science policy in the U.K., U.S., and elsewhere. Among the rationales for sharing data is improving the ability to reproduce or to replicate research. Reproducibility is an oft-stated “gold standard” for science, yet it is a problematic rationale for sharing research data. Sociologists of science have described the difficulties of verifying, let alone reproducing, scientific results, since the 1970s. While most sciences are experiencing a data deluge, the characteristics and practices associated with data vary widely, with different requirements for replication. Reproducibility concerns underlie peer review, identification of fraud, bio-security, and publication …

Syllabus For Data, Data Practices, And Data Curation Part 1; Winter 2012, Christine Borgman

Christine L. Borgman

No abstract provided.

Data, Data Use, And Scientific Inquiry: Two Case Studies Of Data Practices, Laura Wynholds, Jillian Wallis, Christine Borgman, Ashley 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 researchers at the Center for Embedded Network Sensing (CENS) and users of the Sloan Digital Sky Survey (SDSS) data. The data practices of …

Who Is Responsible For Data? An Exploratory Study Of Data Authorship, Ownership, And Responsibility, Jillian Wallis, Christine Borgman

Christine L. Borgman

Data repositories rely on the deposit of materials from the communities they serve, forming a chain of stakeholders from the data creator to the repository and data user. Top-down policies that describe the responsibilities of the depositing scientists and other stakeholders are drafted accordingly. But we see very little deposit of scientific data beyond the Big Sciences or communities for whom deposit is required by publications. As part of an ongoing data practices study, we asked scientific researchers about who would be responsible for the data collected. It is clear that researchers are not talking about who is responsible for …

Data, Data, Everywhere: How Many Drops To Drink? Symposium Panel On Scholarly Communication: Changes, Challenges, & Initiatives, Christine Borgman

Christine L. Borgman

No abstract provided.

Book Review: Digitize This Book! By Gary Hall, University Of Minnesota Press, 2008, Christine Borgman

Christine L. Borgman

Preprint (submitted version) of book review.

The Research Library Of The Future: Less Selection, More Curation, Christine Borgman

Christine L. Borgman

Only a decade ago, this definition of a research library seemed adequate (Borgman, 2000, p.38): Librarians tend to take a broad view of the concept of a library. In general terms, they see libraries as organizations that select, collect, organize, conserve, preserve, and provide access to information on behalf of a community of users. Revisiting this definition today, libraries seem both broader and narrower in scope. The scope is narrower in that libraries are doing far less selecting and collecting of journals as they move from purchase to lease models. Research libraries rapidly are approaching the “e-only tipping point” (Johnson …

Scientific Data Archiving: The State Of The Art In Information, Data, And Metadata Management, Kalpana Shankar

Christine L. Borgman

This white paper is the product of a one-year postdoctoral fellowship to study data archiving requirements for the Center for Embedded Networked Sensing during its first year of operation. The paper focuses on introducing current thinking on scientific data management issues and primarily on relevant standards in data description (metadata) and management for scientific archives. Appendices include a

rudimentary data dictionary for the current James Reserve database, and sample metadata crosswalks for Ecological Metadata Language (EML) and Sensor ML. This paper covers current standards, developments, and sources of datasets (where appropriate) for:

• General data management and discovery - tools …

Social Aspects Of Digital Libraries. Final Report To The National Science Foundation, Christine L. Borgman, Marcia J. Bates, Michele V. Cloonan, Efthimis N. Efthimiadis, Anne J. Gilliland-Swetland, Yasmin B. Kafai, Gregory H. Leazer, Anthony B. Maddox

Christine L. Borgman

Computer, Information Science, and Engineering Directorate; Division of Information, Robotics, and Intelligent Systems; Information Technology and Organizations Program

Social Aspects Of Digital Libraries, Christine L. Borgman, Marcia J. Bates, Michele V. Bates, Efthimis N. Efthimiadis, Anne J. Gilliland-Swetland, Yasmin B. Kafai, Gregory H. Leazer, Anthony B. Maddox

Christine L. Borgman

No abstract provided.