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

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

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

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

2021 ◽  
pp. 1-19
Author(s):  
Michelle Torres ◽  
Francisco Cantú

Abstract We provide an introduction of the functioning, implementation, and challenges of convolutional neural networks (CNNs) to classify visual information in social sciences. This tool can help scholars to make more efficient the tedious task of classifying images and extracting information from them. We illustrate the implementation and impact of this methodology by coding handwritten information from vote tallies. Our paper not only demonstrates the contributions of CNNs to both scholars and policy practitioners, but also presents the practical challenges and limitations of the method, providing advice on how to deal with these issues.


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