Survey Data for SPEC Kit 354: Data Curation
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DCN_SPEC_Kit_Data.xlsx
DCN_SPEC_Kit_Data_Q01.csv
DCN_SPEC_Kit_Data_Q02.csv
DCN_SPEC_Kit_Data_Q03.csv
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DCN_SPEC_Kit_Data_Q11.csv
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DCN_SPEC_Kit_Data_Q40.csv
DCN_SPEC_Kit_Data_Q41.csv
DCN_SPEC_Kit_Institutions.txt
README.md
SPEC Survey on Data Curation.pdf

README.md

TABLE OF CONTENTS

  • DATASET TITLE
  • AUTHORS AND AFFILIATIONS
  • LANGUAGE
  • DATASET DESCRIPTION
  • FILE ORGANIZATION
  • SHARING & ACCESSING INFORMATION
  • RELATED MATERIALS

DATASET TITLE

Survey data for SPEC Kit 354: Data Curation (May 2017)

AUTHORS AND AFFILIATIONS

Dataset creators:

  • Name: Cynthia Hudson-Vitale

    • Organization/institution: Washington University in St. Louis Libraries
    • Email: chudson@wustl.edu
  • Name: Heidi Imker

    • Organization/institution: University of Illinois at Urbana-Champaign
    • Email: imker@illinois.edu
  • Name: Lisa R. Johnston

    • Organization/institution: University of Minnesota Twin Cities Libraries
    • Email: ljohnsto@umn.edu
  • Name: Jake Carlson

  • Name: Wendy Kozlowski

  • Name: Robert Olendorf

    • Organization/institution: Pennsylvania State University
    • Email: rko5039@psu.edu
  • Name: Claire Stewart

Primary contact:

  • Name: Heidi Imker

SPEC Series Editor:

  • Name: Lee Anne George
    • Organization/institution: Association of Research Libraries
    • Email: leeanne@arl.org

LANGUAGE

English

DATASET DESCRIPTION

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.

FILE ORGANIZATION

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”

SHARING & ACCESSING INFORMATION

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

RELATED MATERIALS

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