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Data from: Data sharing in sociology journals

Version
1
Resource Type
Dataset
Creator
  • Zenk-Möltgen, Wolfgang (GESIS - Leibniz Institute for the Social Sciences)
  • Lepthien, Greta (GESIS - Leibniz Institute for the Social Sciences)
Publication Date
2014
Classification
  • ZA:
    • University, Research, the Sciences
Description
  • Abstract

    Data sharing is key for replication and re-use in empirical research. Scientific journals can play a central role by establishing data policies and providing technologies. In this study factors of influence for data sharing are analyzed by investigating journal data policies and author behavior in sociology. The websites of 140 journals from sociology were consulted to check their data policy. The results are compared with similar studies from political science and economics. For five selected journals with a broad variety all articles from two years are examined to see if authors really cite and share their data, and which factors are related to this.
Temporal Coverage
  • 2012-01 / 2013-12
  • 2012-01 / 2013-12
Sampled Universe
Journals of the 2013 Social Science Citation Index; Articles from 5 selected journals in 2012 and 2013.
Sampling
Full selection of the journals in the 2013 Social Science Citation Index in the category "sociology"; All articles from 5 selected journals in 2012 and 2013.
Collection Mode
    • Content Analysis
    • Web-based observation
    • Content Analysis
    • Web-based observation
Data and File Information
  • Unit Type: Organization
    Number of Units: 140
    Number of Variables: 16
    Type of Data: SPSS
    • File Name: Journals_2014-04-07.sav
      File Format: application/x-spss-sav
      File Size: 32438
      Data Fingerprint: f8822f8f276097a517c7181ab0642f26
      Method Fingerprint: MD5
  • Unit Type: Organization
    Number of Units: 140
    Number of Variables: 16
    • File Name: Journals_2014-04-07.sav
      File Format: application/x-spss-sav
      File Size: 32438
      Data Fingerprint: f8822f8f276097a517c7181ab0642f26
      Method Fingerprint: MD5
  • Unit Type: Text Unit
    Number of Units: 581
    Number of Variables: 18
    Type of Data: SPSS
    • File Name: ArticlesCombined_2014-05-14.sav
      File Format: application/x-spss-sav
      File Size: 94491
      Data Fingerprint: f83f534da95364e6c7f1cfcd9c8b6029
      Method Fingerprint: MD5
  • Unit Type: Text Unit
    Number of Units: 581
    Number of Variables: 18
    • File Name: ArticlesCombined_2014-05-14.sav
      File Format: application/x-spss-sav
      File Size: 94491
      Data Fingerprint: f83f534da95364e6c7f1cfcd9c8b6029
      Method Fingerprint: MD5
Note
Source: Journal websites and articles
Availability
Download
Free Access (with Registration)
Rights
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License
Publications
  • Zenk-Möltgen, Wolfgang; Lepthien, Greta (2014): "Data sharing in sociology journals". Online Information Review (Vol. 38, Iss. 6 Special Issue: Openness in scholarly research): 709-722.; http://dx.doi.org/10.1108/OIR-05-2014-0119

Update Metadata: 2019-10-01 | Issue Number: 30 | Registration Date: 2014-05-28

Zenk-Möltgen, Wolfgang; Lepthien, Greta (2014): Data from: Data sharing in sociology journals. Version: 1. GESIS Datenarchiv. Dataset. https://doi.org/10.7802/65