- DATASET TITLE
- AUTHORS AND AFFILIATIONS
- LANGUAGE
- DATASET DESCRIPTION
- FILE ORGANIZATION
- SHARING & ACCESSING INFORMATION
- RELATED MATERIALS
Survey data for SPEC Kit 354: Data Curation (May 2017)
Dataset creators:
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Name: Cynthia Hudson-Vitale
- Organization/institution: Washington University in St. Louis Libraries
- Email: chudson@wustl.edu
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Name: Heidi Imker
- Organization/institution: University of Illinois at Urbana-Champaign
- Email: imker@illinois.edu
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Name: Lisa R. Johnston
- Organization/institution: University of Minnesota Twin Cities Libraries
- Email: ljohnsto@umn.edu
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Name: Jake Carlson
- Organization/institution: University of Michigan Library
- Email: jakecar@umich.edu
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Name: Wendy Kozlowski
- Organization/institution: Cornell University
- Email: wak57@cornell.edu
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Name: Robert Olendorf
- Organization/institution: Pennsylvania State University
- Email: rko5039@psu.edu
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Name: Claire Stewart
- Organization/institution: University of Minnesota
- Email: cstewart@umn.edu
Primary contact:
- Name: Heidi Imker
SPEC Series Editor:
- Name: Lee Anne George
- Organization/institution: Association of Research Libraries
- Email: leeanne@arl.org
English
SPEC surveys gather information from Association for Research Libraries (ARL) member institutions on current research library practices and policies (http://publications.arl.org/SPEC_Kits). SPEC survey topics are proposed by authors, primarily from ARL institutions, who create the survey instrument, which is then administered by ARL. Following close of the survey response window, the results are analyzed and synthesized into a final report, written by the authors and edited by the ARL Publications Program Officer. This SPEC Kit contains an executive summary of the survey results, survey questions and responses, examples of representative documents (such as policies, procedures, handbooks, guidelines, websites, job descriptions, brochures, and statements) to serve as a snapshot of the current state of the topic, and a bibliography of selected resources, including relevant literature and online information.
A SPEC survey on data curation was conducted in January of 2017. The purpose was to uncover the current infrastructure (policy and technical) at ARL member institutions for data curation, explore the current level of demand for data curation services, and discover any challenges that institutions are currently facing regarding providing these services. The survey instrument was developed by the creators listed here and administered by the ARL Publications Program Officer, Lee Anne George.
Invitations to complete the survey were sent to the SPEC survey liaisons at the 124 ARL member libraries via email. Responses were collected using SurveyMonkey during a window from January 3, 2017 - January 30, 2017. A total of 80 libraries completed the survey, and numeric data were primarily analyzed and visualized using Microsoft Excel. This dataset contains data used to generate figures in the final publication for SPEC Kit 354: Data Curation (May 2017). Per participant consent, only aggregate data can be released. Additional information, such as the survey instrument, are also provided here.
This dataset contains 44 files:
- File 1. .pdf of the survey instrument named “SPEC Survey on Data Curation.pdf”
- File 2. .txt of invited and responding institutions named “DCN_SPEC_Kit_Institutions.txt”
- File 3. .xlsx containing all aggregate data named “DCN_SPEC_Kit_Data.xlsx”
- File 4. - File 44. .csv files containing data for a single question only and named according the following convention: “DCN_SPEC_Kit_Data_Q#.csv”
License/restriction placed on this dataset:
CCO
Recommended citation for this dataset:
Hudson-Vitale, Cynthia, Heidi Imker, Lisa R. Johnston, Jake Carlson, Wendy Kozlowski, Robert Olendorf, and Claire Stewart. Survey data for SPEC Kit 354: Data Curation (May 2017) https://github.com/1heidi/dcn_spec_kit_data
Hudson-Vitale, Cynthia, Heidi Imker, Lisa R. Johnston, Jake Carlson, Wendy Kozlowski, Robert Olendorf, and Claire Stewart. SPEC Kit 354: Data Curation (May 2017). Washington, DC: Association of Research Libraries, 2017. http://publications.arl.org/Data-Curation-SPEC-Kit-354/
Status: forthcoming