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Social and Behavioral Sciences Commons

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Physical Sciences and Mathematics

Selected Works

2010

Scientific Data Practices

Articles 1 - 3 of 3

Full-Text Articles in Social and Behavioral Sciences

Research Data: Who Will Share What, With Whom, When, And Why?, Christine L. Borgman Sep 2010

Research Data: Who Will Share What, With Whom, When, And Why?, Christine L. Borgman

Christine L. Borgman

The deluge of scientific research data has excited the general public, as well as the scientific community, with the possibilities for better understanding of scientific problems, from climate to culture. For data to be available, researchers must be willing and able to share them. The policies of governments, funding agencies, journals, and university tenure and promotion committees also influence how, when, and whether research data are shared. Data are complex objects. Their purposes and the methods by which they are produced vary widely across scientific fields, as do the criteria for sharing them. To address these challenges, it is necessary …


The Data Conservancy: Science-Driven Information Science, Christine L. Borgman, Carole L. Palmer Jun 2010

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 …


From Artifacts To Aggregations: Modeling Scientific Life Cycles On The Semantic Web, Alberto Pepe, Matthew Mayernik, Christine Borgman, Herbert Van De Sompel Jul 2009

From Artifacts To Aggregations: Modeling Scientific Life Cycles On The Semantic Web, Alberto Pepe, Matthew Mayernik, Christine Borgman, Herbert Van De Sompel

Alberto Pepe

In the process of scientific research, many information objects are generated, all of which may remain valuable indefinitely. However, artifacts such as instrument data and associated calibration information may have little value in isolation; their meaning is derived from their relationships to each other. Individual artifacts are best represented as components of a life cycle that is specific to a scientific research domain or project. Current cataloging practices do not describe objects at a sufficient level of granularity nor do they offer the globally persistent identifiers necessary to discover and manage scholarly products with World Wide Web standards. The Open …