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Data Policies, Data Management and the Quality of Academic Writing

Version
1
Resource Type
Dataset
Creator
  • Katsanidou, Alexia (GESIS - Leibniz Institute for the Social Sciences)
  • Horton, Laurence (London School of Economics and Political Science)
  • Jensen, Uwe (GESIS - Leibniz Institute for the Social Sciences)
Publication Date
2014
Classification
  • ZA:
    • University, Research, the Sciences
Description
  • Abstract

    The quality of methodology sections is the result of interaction between academic cultures of data sharing, effective application of rules, academic excellence and good quality Research Data Management (RDM).This data set is based on the coding of 66 published empirical articles that used data from at least one wave of the European Values Survey (http://dx.doi.org/10.4232/1.11005) and was published at least in pre-print form between 1984 and 2013. It tests for an article describing the methodology of data collection.
Temporal Coverage
  • 1984 / 2013
  • 1984 / 2013
Sampled Universe
Empirical academic journal articles that used data from at least one wave of the European Values Survey and was published at least in pre-print form between 1984 and 2013.
Sampling
No sampling used.
Collection Mode
    • Content Analysis
    • Content Analysis
Data and File Information
  • Unit Type: Other
    Number of Units: 66
    Number of Variables: 35
    Type of Data: csv file
    • File Name: evs-rdm.csv
      File Format: application/octet-stream
      File Size: 15113
      Data Fingerprint: 8cac1eb67db6f3529a7182816018fc4e
      Method Fingerprint: MD5
  • Unit Type: Other
    Number of Units: 66
    Number of Variables: 35
    • File Name: evs-rdm.csv
      File Format: application/octet-stream
      File Size: 15113
      Data Fingerprint: 8cac1eb67db6f3529a7182816018fc4e
      Method Fingerprint: MD5
  • Type of Data: html file
    • File Name: evs.html
      File Format: text/html
      File Size: 97456
      Data Fingerprint: 804ea3c2ea71046990e5d9727a5ed65b
      Method Fingerprint: MD5
    • File Name: evs.html
      File Format: text/html
      File Size: 97456
      Data Fingerprint: 804ea3c2ea71046990e5d9727a5ed65b
      Method Fingerprint: MD5
Availability
Download
Free Access (without Registration)
Publications
  • Alexia Katsanidou, Laurence Horton, Uwe Jensen: Data Policies, Data Management, and the Quality of Academic Writing, International Studies Perspectives Feb 2016, DOI: 10.1093/isp/ekv014

Update Metadata: 2019-10-01 | Issue Number: 8 | Registration Date: 2014-10-22

Katsanidou, Alexia; Horton, Laurence; Jensen, Uwe (2014): Data Policies, Data Management and the Quality of Academic Writing. Version: 1. GESIS Datenarchiv. Dataset. https://doi.org/10.7802/70