Name File Type Size Last Modified
  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:  View help for Summary 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:  View help for Subject Terms Research data ; Streel level bureaucracy; Legacy data; Data curation; Dillemas; Open data
Geographic Coverage:  View help for Geographic Coverage United States
Collection Date(s):  View help for Collection Date(s) 1/2021 – 1/2021
Universe:  View help for Universe Research data managers in the United States.
Data Type(s):  View help for Data Type(s) other; text
Collection Notes:  View help for Collection Notes 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:  View help for Sampling 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):  View help for Collection Mode(s) face-to-face interview; other
Unit(s) of Observation:  View help for Unit(s) of Observation Orgnaization
Geographic Unit:  View help for Geographic Unit United States

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