Street-level Bureaucracy, Dilemmas, and Research Data Management
Principal Investigator(s): View help for Principal Investigator(s) A.J. Million, Inter-university Consortium for Political and Social Research; Jenny Bossaller, University of Missouri
Version: View help for Version V1
Name | File Type | Size | Last Modified |
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SLB_Project | 05/11/2022 03:48:PM |
Project Citation:
Million, A.J., and Bossaller, Jenny. Street-level Bureaucracy, Dilemmas, and Research Data Management. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-05-11. https://doi.org/10.3886/E170241V1
Project Description
Summary:
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This dataset contains 15 semi-structured interview transcripts from a study of research data managers in the United States. Study participants worked at small, medium, and large data archives. These archives were affiliated with universities but served varied constituents and provided a range of services. The study asked interview participants to describe their jobs and describe problems or dilemmas they encountered in the course of everyday work. We explicitly asked participants to describe cases where they had to exercise discretion when creating, implementing, or enforcing policy. We framed policy in an organizational and legal sense. Study participants stated that data-related policy challenges may stem from any stage of the research lifecycle.
Scope of Project
Subject Terms:
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Research data ;
Streel level bureaucracy;
Legacy data;
Data curation;
Dillemas;
Open data
Geographic Coverage:
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United States
Collection Date(s):
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1/2021 – 1/2021
Universe:
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Research data managers in the United States.
Data Type(s):
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other;
text
Collection Notes:
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Interviews were audio-recorded and transcribed using a third-party service. Transcripts were anonymized during a trial of the TextWash software at the Inter-university Consortium for Political and Social Research.
Methodology
Sampling:
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We conducted semi-structured interviews with 15 individuals working at 8 data archives in the United States. Seven interview participants were administrators and 8 were data archive staff. Recruitment was opportunistic and took place via email.
Collection Mode(s):
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face-to-face interview;
other
Unit(s) of Observation:
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Orgnaization
Geographic Unit:
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United States
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