Published May 6, 2025 | Version v1
Lesson Open

Workshop on Hard to Share Data in the Social Sciences and Humanities and using the Secure ANalysis Environment (SANE)

  • 1. ROR icon Data Archiving and Networked Services
  • 2. ROR icon Leiden University
  • 3. ROR icon Open Data Infrastructure for Social Science and Economic Innovations
  • 4. SURF
  • 5. ROR icon Michigan State University
  • 6. ROR icon Netherlands Institute for the Study of Crime and Law Enforcement
  • 1. SURF
  • 2. ROR icon Erasmus University Rotterdam
  • 3. Promovendi Netwerk Nederland

Description

These presentations and training materials were part of a workshop called 'Hard to Share Data in the Social Sciences and Humanities and using the Secure ANalysis Environment (SANE)' held at the DANS Offices in The Hague on 27 March 2025.

This workshop introduced types of non-personal sensitive data in the Social Sciences and Humanities. It outlined best practices around managing and sharing these types of data in relation to the FAIR Principles and Open Science including a range of different case studies. 

The second part of the workshop presented the Secure ANalysis Environment (SANE), demonstrating how sensitive data can be made accessible for inspection and analysis without allowing downloads.

 The session included an interactive demonstration, providing researchers with a clear understanding of how SANE supports controlled-data access.

File list:
The files included in this record are:

  • 20250327_HardtoShareData_WS1_SessionPlan: This is the planning document for the workshop containing all of the practical planning details for the workshop, the session description, learning outcomes, and an overview of the teaching and learning activities per time slot.
  • 20250327_HardtoShareData_WS1_SlideDeck: This is the main slide deck for the training session. In addition to the introduction to the session and the introduction to the topic of non-personal sensitive data in the social sciences and humanities, it also contains the introduction to the SANE hands-on demonstration.
  • 20250327_HardtoShareData_WS1_Oberheim: This is the slidedeck for the presentation by Frederike Oberheim entitled 'Navigating Hard-to-Share Data in Corporate Crime Research'
  • 20250327_HardtoShareData_WS1_CampbellR: This is the slidedeck for the presentation by Rebecca Campbell entitled 'HARD TO SHARE DATA: SENSITIVE QUALITATIVE INTERVIEWS'. Content: qualitative interviews with sexual assault survivers with descriptions of sexual assault and how police responded and treated them. 
  • 20250327_HardtoShareData_WS1_vdMeer: This is the slidedeck for the presentation by Lucas van der Meer entitled 'Firmbackbone & Kamer van Koophandel' plus a general introduction to SANE.
  • 20250327_HardtoShareData_WS1_SANEHandsOnInstructions: The exercise instructions for the SANE hands-on demo

Presentations have been made available here where possible as PDF and PPTX, and in some cases ODP. The PDF files are the definitive version, whereas the PPTX files are the most accessible and the ODPs are open versions. Text files are provided in PDF and in the case of the Session Plan, Word/ODT so that it a can be edited.

Related materials:

During the workshop, there was a presentation authored by Pascal Flohr and Adam Benfer. An almost identical version of the presentation is published here: Flohr, P. (2024, July 10). Sharing location data: Sensitive data in archaeology. Where do I start with FAIRification of sensitive data?, Online. Zenodo. https://doi.org/10.5281/zenodo.12706680

The other workshops in this series of training workshops on 'hard-to-share data in the social sciences and humanities' are listed below:

Lushaj, B., Gelens, T., Magraw, J.-Y., Mos, A., Baloum, R.-C., & Hati Gitundu, . (Beatrice) B. (2025, June 10). Workshop on The Ethics of Sharing Fieldwork Data and the CARE Principles. Zenodo. https://doi.org/10.5281/zenodo.15629394

Acknowledgements:

This workshop was part of the project ‘Beyond personal data: a new initiative to support early-career researchers with hard-to-share data’ with file number ICT.TDCC.001.002, which is (partly) financed by the Dutch Research Council (NWO) via the Thematic Digital Competence Centre Social Sciences & Humanities (TDCC-SSH).

The session organisers would like to thank the invited speakers and the participants who attended the training session.

Files

20250327_HardtoShareData_WS1_SlideDeck.pdf

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Additional details

Related works

Is supplemented by
Event: 10.5281/zenodo.12706680 (DOI)

Funding

Dutch Research Council
Beyond personal data: RDNL training on hard-to-share data for SSH early career researchers ICT.TDCC.001.002

Dates

Other
2025-03-27
Date of workshop