Social and Behavioral Sciences Commons^™

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, …