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How to protect privacy in open data

When sharing research data for verification and reuse, behavioural researchers should protect participants’ privacy, particularly when studying sensitive topics. Because personally identifying data remain present in many open psychology datasets, we urge researchers to mend privacy via checks of re-identification risk before sharing data. We offer guidance for sharing responsibly.

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  1. Wicherts, J. M. Science revolves around the data. J. Open Psychol. Data 1, e1 (2013).

    Article  Google Scholar 

  2. American Psychological Association. Ethical Principles of Psychologists and Code of Conduct (American Psychological Association, 2017).

  3. Purtova, N. Law Innov. Technol. 10, 40–81 (2018).

    Article  Google Scholar 

  4. Wicherts, J. M., Klein, R. A. & Hartgerink, C. H. J. Automatic detection of identifiers in open data (ADIODA)., (2022).

  5. El Emam, K., Jonker, E., Arbuckle, L. & Malin, B. PLoS ONE 6, e28071 (2011).

    Article  CAS  Google Scholar 

  6. Sweeney, L. Simple Demographics Often Identify People Uniquely (Data Privacy Working Paper 3) (Carnegie Mellon Univ, 2000).

  7. Wicherts, J. M. et al. Privacy protection in the era of open science. Preprint at (2022).

  8. Meyer, M. N. Adv. Methods Pract. Psychol. Sci. 1, 131–144 (2018).

    Article  Google Scholar 

  9. Walsh, C. G. et al. Adv. Methods Pract. Psychol. Sci. 1, 104–114 (2018).

    Article  Google Scholar 

Download references


C. Hartgerink (Liberate Science GmbH) also contributed to this work and was originally included as a co-author. He opted to withdraw from the author list because this piece could not be published under an open access licence. Our work was supported by a Consolidator Grant (726361 IMPROVE) of the European Research Council (ERC) and an Open Science Fund grant from the Dutch Research Council (NWO 203.001.155).

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Correspondence to Jelte M. Wicherts.

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Wicherts, J.M., Klein, R.A., Swaans, S.H.F. et al. How to protect privacy in open data. Nat Hum Behav 6, 1603–1605 (2022).

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