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dcc:pdpsol:publishinghsd [2026/03/03 14:47] – add all prepared content marlondcc:pdpsol:publishinghsd [2026/03/03 15:11] (current) – [Publishing de-identified, anonymized or synthetic data] marlon
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 ===== Introduction ===== ===== Introduction =====
-Your project nears its completion. It is time to prepare your data for archiving and publication in accordance with the FAIR principles, to make your data as open as possible and as closed as necessary. [[de-identification|De-identification techniques]] enable you to share your research data with other researchers, while protecting the privacy of your data subjects.  +Your project nears its completion. It is time to prepare your data for archiving and publishing in accordance with [[https://www.rug.nl/digital-competence-centre/research-data/fair-data-open-science|the FAIR principles]], to make your data //as open "as possible and as closed as necessary"//. When research involves human participants, there is a tension between protecting the privacy of your participants and meeting expectations to archive and publish data so others can verify and reuse your work. Navigating this playing field requires careful planning and thoughtful decisions, putting safeguards in place that protect participants, while still allowing responsible access for future research. You can use the sections below to guide you in this process. 
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-===== Should you archive or should you publish? =====+===== What needs to be archived and what needs to be published? =====
  
 Check whether you can further minimize your data, with two goals of archiving in mind: Check whether you can further minimize your data, with two goals of archiving in mind:
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 Often it is not necessary to keep all collected data for the purpose of validating your findings or for researchers to reuse your data.  Often it is not necessary to keep all collected data for the purpose of validating your findings or for researchers to reuse your data. 
   * Limit the (personal) data and materials you archive to the ones that you need for verification of your research. Follow the procedures in the [[datadesctruction|destruction protocol(s)]] that you designed. Add these protocol(s) to your data package, publication package or archive. (e.g. anonymised consent forms can be archived, while consent forms containing personal data can be deleted in accordance with the UG protocol)   * Limit the (personal) data and materials you archive to the ones that you need for verification of your research. Follow the procedures in the [[datadesctruction|destruction protocol(s)]] that you designed. Add these protocol(s) to your data package, publication package or archive. (e.g. anonymised consent forms can be archived, while consent forms containing personal data can be deleted in accordance with the UG protocol)
-  * Determine whether it is possible to de-identify before publishing, while also keeping in mind the usability of your dataset.  +  * Determine whether it is possible to [[de-identification|de-identify]] before publishing, while also keeping in mind the usability of your dataset. 
-[[de-identification|→ Check out possible techniques to de-identify your data]]+
  
 ===== Publishing  de-identified, anonymized or synthetic data =====  ===== Publishing  de-identified, anonymized or synthetic data ===== 
-FAIR data does not necessarily mean that your data are openly available. Even after de-identification, there can be [[https://www.rug.nl/digital-competence-centre/research-data/archive-and-publish/make-your-data-available-under-restricted-access|good reasons to restrict access to your data]]. The objective is to have data as open as possible, and as closed and protected as necessary.+FAIR data does not necessarily mean that all your data and materials need to openly available. Even after de-identification, there can be [[https://www.rug.nl/digital-competence-centre/research-data/archive-and-publish/make-your-data-available-under-restricted-access|good reasons to restrict access to your data]]. The objective is to have data as open as possible, and as closed and protected as necessary. 
  
 Consider applying a ‘layered’ approach to your (de-identified) files by scoring your files in terms of sensitivity.  Consider applying a ‘layered’ approach to your (de-identified) files by scoring your files in terms of sensitivity.