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Academic Writing and Research Data Management
Academic Writing and Research Data Management
Academic Writing and Research Data Management
Academic Writing and Research Data Management
Academic Writing and Research Data Management
Academic Writing and Research Data Management
Academic Writing and Research Data Management
Academic Writing and Research Data Management
Academic Writing and Research Data Management
Academic Writing and Research Data Management
Academic Writing and Research Data Management
Academic Writing and Research Data Management
Academic Writing and Research Data Management
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Academic Writing and Research Data Management

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Presentation prepared for the European Survey Research Association conference in Ljubjlana, 17 July 2013.

Presentation prepared for the European Survey Research Association conference in Ljubjlana, 17 July 2013.

Published in: Technology, Education
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  • 1. Academic writing and Research Data Management Alexia Katsanidou, Uwe Jensen, Laurence Horton GESIS - Leibniz Institute for the Social Sciences archive.training@gesis.org @archivetraining www.gesis.org/admtc This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License.
  • 2. Structured metadata Title Principal Investigator(s) Funder Catalogue number Abstract Keywords File format(s) Date(s) of collection Geographic (spatial) unit(s) Universe of analysis Case count Documentation Tools for data collection Sampling frame & procedure Weighting/control actions Variables list Version License/Usage agreement Ownership Citation text Publication requirement Contact information Data description Description of methodology used Description of requirements for access Standardized fields to be populated by the project/archive
  • 3. Documentation • Contextual materials generated by project as part of data gathering – Questionnaire – Interviewer instructions – Flash cards – Funding applications/end of award reports
  • 4. Standards and re-use feedback loop Metadata and documentation standards Methodology sections Single Paper Many papers
  • 5. Journal article methodology sections The authors describe how they tested their hypotheses and how they produced their results. Replication movement increases the standards to achieve: 1. Transparency 2. Rigorous review Process 3. Higher quality 4. Academic excellence 5. Educational value 6. … Replicability
  • 6. Components • Data description  Dataset used  Sample description  Fieldwork Information  Response rates  Survey Methodology used • Variable description  Variables used  Question wording  Variable scale  Re-coding  Harmonization  Index building  Dimension Building
  • 7. Quality of the methods section Is it replicable? King (2003): “Sufficient information exists with which to understand evaluate and build upon a prior work if a third party can replicate the results without any additional information from the author”
  • 8. Our methodology European Values Study • 1981 • 1990 • 1999 • 2008 Articles: • Published with these datasets • In peer reviewed journals • http://evs.uvt.nl • Analysis of their methods section
  • 9. EVS documentation Wave Questionnaires Codebook (variable report) Other documents 1981 15: Fourteen individual country questionnaires in native languages as PDF documents (some OCR readable), plus one “basic” questionnaire. Yes • Weighting remarks 1990 30: Twenty nine individual country questionnaires in native languages as PDF documents (some OCR readable), plus one “basic” questionnaire. Yes • Weighting remarks 1999 34: Thirty three individual country questionnaires in native languages as PDF documents (OCR readable), plus one “master” questionnaire. Yes (8 individual country reports) • Weighting remarks • List of Digital Object Identifiers • Data Depositor Report 2008 48: Forty seven individual country questionnaires in native languages as PDF documents (OCR readable), plus “master” questionnaire Yes • Weighting remarks • List of Digital Object Identifiers • Method report • Guidelines
  • 10. Referring to the data 1981 1990 1999 2008 N 8 9 9 5 Reference to the Data 8 9 9 5 Where to find 1 4 6 5 Full reference (without DOI) 0 4 5 0 Full DOI reference 0 0 0 4
  • 11. Dataset Description 1981 1990 1999 2008 N 8 9 9 5 Sample description 8 3 9 5 Response Rate 2 0 1 0 Fieldwork 7 2 2 2 Missing Cases 1 0 3 5 Sample 8 3 9 5
  • 12. Variable Description 1981 1990 1999 2008 N 8 9 9 5 Question phrasing 5 6 7 3 Original scales 7 5 8 5
  • 13. Conclusions • 1981  no re-use community/primary research • 1990  re-use community widens, but no standards, hence the drop • 1999 onwards  stable development of replication and documentation standards • Clear trends in data reference • Treating the dataset as a publication

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