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8 - Making Research Data Accessible

from Part III - Transparency and Reproducibility

Published online by Cambridge University Press:  11 March 2020

By
Diana Kapiszewski  and
Sebastian Karcher
Edited by
Colin Elman ,
John Gerring  and
James Mahoney
Colin Elman
Affiliation:
Syracuse University, New York
John Gerring
Affiliation:
University of Texas, Austin
James Mahoney
Affiliation:
Northwestern University, Illinois
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Summary

Social science research is increasingly moving toward a model of open and accessible data. Accessibility opens possibilities of allowing secondary analysis, enhancing pedagogy, and supporting research transparency. This chapter argues that these benefits will accrue more quickly, and will be more significant and more enduing, if researchers make their data "meaningfully accessible," that is, when the data can be interpreted and analyzed by scholars far beyond those who generated them. Making data meaningfully accessible requires researchers to prepare data for sharing and to take advantage of a growing range of tools for publishing and preserving data.

Keywords

Data accessibilityopen researchtransparencyreplicationknowledge accumulation
Type
Chapter
Information
The Production of Knowledge
Enhancing Progress in Social Science
 , pp. 197 - 220
Publisher: Cambridge University Press
Print publication year: 2020

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