Protecting Private Data: Research Data, Data Sharing, and Privacy
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1) There is increasing pressure to make research data available for transparency and reproducibility, but privacy concerns exist as data is shared more broadly. 2) Tools for data management and sharing are improving, but policy frameworks around copyright, credit, and privacy need more focus. Data sets can contain private human subject information or be de-anonymized when combined with other data. 3) The RDA-NISO Data Privacy Interest Group aims to develop guidelines and metadata standards to address privacy issues and enable responsible data sharing. This will help improve understanding and reduce risks around research data reuse and access.
![Privacy
• Data sets that include human-subject information
• Pitfalls exist as data enters the broader information landscape
• Greatest value of data is potential to be reused and combined
with other data sets to advance understanding
– But … de-anonymization a major concern
Intel Free Press [CC-BY-SA-2.0 (http://creativecommons.org/licenses/by-sa/2.0)], via Flickr](https://image.slidesharecdn.com/lagaceaugust10-180329181004/85/Protecting-Private-Data-Research-Data-Data-Sharing-and-Privacy-4-320.jpg)
Protecting Private Data: Research Data, Data Sharing, and Privacy
- 1. Protecting Private Data: Research Data, Data Sharing, and Privacy Data in Libraries: the Big Picture - August 10, 2016 Nettie Lagace, National Information Standards Organization nlagace@niso.org * @abugseye
- 2. Background • Increasing pressure to make research data available – Greater availability = good of science – Publishing boards show transparency & reproducibility – Funding mandates • Use of repositories growing • Better tools for data management By Kristian Peters -- Fabelfroh - photographed by myself, CC BY-SA 3.0, https://commons.wikimedia.org/w/index.php?curid=1350193
- 3. Towards a richer data-sharing ecosysem • Tools improve … Policies need to, too • More focus needed to improve policy frameworks – Copyright and intellectual property – Provide researcher credit – Privacy By Anatoly Mikhaltsov - Own work, CC BY-SA 4.0, https://commons.wikimedia.org/w/index.php?curid=44979632
- 4. Privacy • Data sets that include human-subject information • Pitfalls exist as data enters the broader information landscape • Greatest value of data is potential to be reused and combined with other data sets to advance understanding – But … de-anonymization a major concern Intel Free Press [CC-BY-SA-2.0 (http://creativecommons.org/licenses/by-sa/2.0)], via Flickr
- 5. RDA P5 BoF Privacy Topics • PII may exist in data set; reviewed by IRB or university policy • Data may not contain PII but could if combined with other data set • Historical data could include PII – could link data to living subjects • Back-end usage data • Security of data replication • Metadata re provenance, consent, license/reuse, legal jurisdiction
- 6. RDA-NISO Data Privacy Interest Group • Phase 1: Group organization • Phase 2: Development of framework of concerns and draft recommendations • Phase 3: Expand on framework with use cases, guidelines for implementation, development of metadata structure to describe privacy-related information • Phase 4: Adoption and implementation
- 7. Benefits • Explain precautions to take in creating, using, preserving and providing access to research data • Definition of key vectors; outline of situations where principles can be applied • Identification of key areas of variance in privacy laws • Technical metadata to use to describe privacy-related information • Outreach and communication: improve understanding; support dialogue; reduce risk By Diego Delso, CC BY-SA 4.0, https://commons.wikimedia.org/w/index.php?curid=42787827