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.  

scholarly journals Inter-Organisational Coordination Work in Digital Curation: the Case of Eurobarometer

2020 ◽  
Vol 15 (1) ◽  
pp. 9
Author(s):  
Kristin Eschenfelder ◽  
Kalpana Shankar
Keyword(s):  
Social Science ◽  
Data Access ◽  
Research Data ◽  
Science Data ◽  
High Quality Research ◽  
Data Set ◽  
Data Archives ◽  
Coordination Work ◽  
Social Science Data ◽  
The Many

Open research is predicated upon seamless access to curated research data. Major national and European funding schemes, such as Horizon Europe, strongly encourage or require publicly funded data to be FAIR  - that is, Findable, Accessible, Interoperable, Reusable (Wilkinson, 2016). What underpins such initiatives are the many data organizations and repositories working with their stakeholders and each other to establish policies and practices, implement them, and do the curatorial work to increase the available, discoverability, and accessibility of high quality research data. However, such work has often been invisible and underfunded, necessitating creative and collaborative solutions. In this paper, we briefly describe how one such case from social science data: the processing of the Eurobarometer data set. Using content analysis of administrative documents and interviews, we detail how European data archives managed the tensions of curatorial work across borders and jurisdictions from the 1970s to the mid-2000s, the challenges that they faced in distributing work, and the solutions they found. In particular, we look at the interactions of the Council of European Social Science Data Archives (CESSDA) and social science data organizations (DO) like UKDA, ICPSR, and GESIS and the institutional and organizational collaborations that made Eurobarometer “too big to fail”. We describe some of the invisible work that they underwent in the past in making data in Europe findable, accessible, interoperable, and conclude with implications for “frictionless” data access and reuse today.  

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 Creation and revitalization of the Estonian National Register of anthropometric data

2016 ◽  
Vol 25 (2) ◽  
pp. 70
Author(s):  
Ene-Margit Tiit
Keyword(s):  
Health Care ◽  
Social Science ◽  
Financial Support ◽  
18Th Century ◽  
Data Archive ◽  
National Register ◽  
Anthropometric Data ◽  
Science Data ◽  
Social Science Data ◽  
The University

Anthropmetric data have always been of interest for scientists. They have also great practical value for different groups of people: tailors, designers and also health care specialists. Anthropological data are different in different geographical areas and also change in time. That is why it is important to save also results of older anthropometrical measurements. In Estonia the anthropometrical measurements have been made by different researchers since the 18th century. The Group of Physical Anthropology at the University of Tartu (initiated by prof Helje Kaarma) was especially active in gathering anthropometric data. The data were saved in the Anthropometic Register. Unfortunately, the register had no financial support and so its activities stopped. In summer 2016 the group of people interested in saving the historical anthropometric data started revitalising the Register of Anthropological Data. Hopefully, it will be possible to use the Estonian Social Science Data Archive for this purpose.

scholarly journals The Latvian Social Science Data Archive

2001 ◽  
Vol 25 (2) ◽  
pp. 29
Author(s):  
Ausma Tabuna
Keyword(s):  
Social Science ◽  
Data Archive ◽  
Science Data ◽  
Social Science Data

The Latvian Social Science Data Archive

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

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