Social Science Data Archives: Applications and Potential.

1978 ◽  
Vol 7 (6) ◽  
pp. 776
Author(s):  
John Shelton Reed ◽  
Richard I. Hofferbert ◽  
Jerome M. Clubb
Keyword(s):  
Social Science ◽  
Science Data ◽  
Data Archives ◽  
Social Science Data

scholarly journals Studying the History of Social Science Data Archives as Knowledge Infrastructure

2016 ◽  
Vol 29 (2) ◽  
pp. 62-73
Author(s):  
Kalpana Shankar ◽  
Kristin R. Eschenfelder ◽  
Greg Downey
Keyword(s):  
Social Sciences ◽  
Social Science ◽  
International Development ◽  
Science Data ◽  
Data Intensive ◽  
Knowledge Infrastructure ◽  
Data Archives ◽  
Entry Points ◽  
Institutional Sustainability ◽  
Social Science Data

We map out a new arena of analysis for knowledge and cyberinfrastructure scholars: Social Science Data Archives (SSDA). SSDA have influenced the international development of the social sciences, research methods, and data standards in the latter half of the twentieth century. They provide entry points to understand how fields organise themselves to be ‘data intensive’. Longitudinal studies of SSDA can increase our understanding of the sustainability of knowledge infrastructure more generally. We argue for special attention to the following themes: the co-shaping of data use and users, the materiality of shifting revenue sources, field level relationships as an important component of infrastructure, and the implications of centralisation and federation of institutions and resources. We briefly describe our ongoing study of primarily quantitative social science data archives. We conclude by discussing how cross-institutional and longitudinal analyses can contribute to the scholarship of knowledge infrastructure.Keywords: social sciences; data archives; institutional sustainability

Creating local social science data archives

1970 ◽  
Vol 9 (2) ◽  
pp. 51-59 ◽  
Author(s):  
Margaret O'Neill Adams ◽  
Jack Dennis
Keyword(s):  
Social Science ◽  
Science Data ◽  
Data Archives ◽  
Social Science Data

scholarly journals Access Some Areas: Reforming Access Categories for Data in a Social Science Data Archive

2020 ◽  
Vol 15 (1) ◽  
pp. 5
Author(s):  
Laurence Horton ◽  
Anja Perry
Keyword(s):  
Social Science ◽  
Data Access ◽  
Data Reuse ◽  
Data Sets ◽  
Data Archive ◽  
Science Data ◽  
Minimal Set ◽  
Data Archives ◽  
Social Science Data ◽  
Work Done

In this paper we outline the process of revising data access categories for research data sets in GESIS – a large European social science data archive based in Germany. The challenge is to create a minimal set of workable access conditions that cope with a) facilitating as “open as possible, closed as necessary” expectations for data reuse; b) map on to existing legacy access categories and conditions in a data archive. The paper covers the work done in gathering data on data access categories used by data archives in their existing data catalogues, the choices offered to depositors of data in their user agreements, and work done by other data reuse platforms in categorising access to their data. Finally, we talk through the process of refining a minimal set of data access conditions for the GESIS data archive.  

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