Social and Behavioral Sciences Commons^™

Syllabus For Data, Data Practices, And Data Curation Part 2; Spring 2012, Christine L. Borgman

Christine L. Borgman

No abstract provided.

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

Christine L. Borgman

No abstract provided.

Is Data To Knowledge As The Wasp Is To The Fig Tree? Reconsidering Licklider’S Intergalactic Network In The Days Of Data Deluge., Christine L. Borgman

Christine L. Borgman

No abstract provided.

The Data Conservancy: Science-Driven Information Science, Christine L. Borgman, Carole L. Palmer

Christine L. Borgman

The Data Conservancy –which is a National Science Foundation funded Datanet project with a diverse array of partners – embraces a shared vision: data curation is not an end, but rather a means to collect, organize, validate, and preserve data to address grand research challenges that face society. Key to the data conservancy approach is information science research on the data practices of the science domains. Three teams are conducting social studies of individual science domains. Prof. Carole Palmer of the University of Illinois will report on their comparative studies of multiple biosciences domains. Prof. Christine Borgman of the University …

The Digital Future Is Now: What The Humanities Can Learn From Escience, Christine L. Borgman

Christine L. Borgman

As the digital humanities mature, their scholarship is taking on many characteristics of the sciences, becoming more data-intensive, information-intensive, distributed, multi-disciplinary, and collaborative. While few scholars in the humanities or arts would wish to be characterized as emulating scientists, they do envy the comparatively rich technical and resource infrastructure of the sciences. The interests of all scholars in the university align with respect to access to data, library resources, and computing infrastructure. However, the scholarly interests of the sciences and humanities diverge regarding research practices, sources of evidence, and degrees of control over those sources. This talk will explore the …

The Digital Archive: The Data Deluge Arrives In The Humanities, Christine L. Borgman

Christine L. Borgman

The data deluge has began to overwhelm the sciences, as instruments such as sensor networks and space telescopes are generating far more data than can possibly be inspected manually. Only digital tools can make sense of these vast volumes of data. As the humanities draw more heavily on digital archives, their scholarship is taking on many characteristics of the sciences, becoming more data-intensive, information-intensive, distributed, multi-disciplinary, and collaborative. However, the humanities typically lack the technical infrastructure available to the sciences. The scholarly interests of the sciences and humanities also diverge with respect to research practices, sources of evidence, and degrees …

The Digital Future Is Now: A Call To Action For The Humanities, Christine L. Borgman

Christine L. Borgman

The digital humanities are at a critical moment in the transition from a specialty area to a full-fledged community with a common set of methods, sources of evidence, and infrastructure – all of which are necessary for achieving academic recognition. As budgets are slashed and marginal programs are eliminated in the current economic crisis, only the most articulate and productive will survive. Digital collections are proliferating, but most remain difficult to use, and digital scholarship remains a backwater in most humanities departments with respect to hiring, promotion, and teaching practices. Only the scholars themselves are in a position to move …

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 …