Q. In cases where the research project will generate no primary data, what can be considered when writing a Data Management Plan (DMP)?


Consider the tips for the following NTU DMP template questions:

  • Q1: What data will you be collecting or creating?

Consider: Since no primary data will be generated, are there any secondary research data to be reused? If yes, what are they? (e.g., published literature material).

  • Q2: How will the secondary data be collected and processed?


  • Briefly describe the sources of the secondary data. 
  • What criteria or search strategies will be used to identify the secondary data?
  • Will qualitative or quantitative approach be undertaken for analyzing the secondary data?
  • Will there be any coding or annotations done? (See example 1). If yes, will it be done digitally, in what format and how will they be organised? 
  • Q4: Confidentiality, Privacy & Security of Data

Consider: Briefly describe copyright and terms of reuse of the secondary data.

  • Q5: Access & Usage Restrictions

Consider: Briefly describe how the copyright and terms of reuse will affect how much you can allow others to access the secondary data you are reusing. Generally, copyright of published papers and books belong to the publisher, hence, will limit how much of these ‘research data’ can be shared.

  • Q7: Data documentation

Consider: Briefly describe if any readme, codebook, etc.  would be made available to provide more information about your research data. See example 2.


See an external DMP example where it says no data will be generated: https://www.lib.umd.edu/binaries/content/assets/public/data/umd_dmp_example1.pdf.


  • Last Updated Jan 07, 2020
  • Views 31
  • Answered By OIKLS Research Data Management

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