13  Ethics & Legal Compliance

Modified

February 20, 2026

13.1 Data/Research Ethics & Compliance for UF Researchers

  1. UF Research Misconduct Homepage: Policy, Training, Reporting, and Best Practices
  2. UF Office of Research Integrity and Compliance (Research Integrity & Compliance)
  3. Info for UF Researchers regarding Risk Assesment for International Collaborations and Export Control
  4. UF IACUC
  5. UF IRB
  6. UF Privacy Office

13.2 Privacy Laws

  1. CDC: what is HIPPA?
  2. Global Privacy Laws, including the EU General Data Protection Regulation (GDPR)? (link 1), (link 2), (link 3 - UF)
  3. What is FERPA?

13.3 Anonymizing Data

Overview

  1. UK Data Service Webinar: How to anonymise qualitative and quantitative data
  2. Intro to Anonymization
  3. Overview by Martin Monkman
  4. EDUCASE Guidelines for Data De-Identification or Anonymization
  5. UF “HOW TO: DE-IDENTIFY DATA”, with very useful checklists

Tools for Anonymizing Data Overview

WarningTip with Title

Anymizing data is difficult and the consequences for failing to do so can be severe. Be very careful - or better still, seek guidance from experts on campus.

Anonymizing with R

  1. Martin Monkman’s link to R packages for Anonymizing Data
  2. Blog Post / Tutorial
  3. R package Anonymizer
  4. Anonymizing in R: part 1 and part 2

Stand-alone software and online tools for anonymizing

  1. list of free tools
  2. ARX (open source, free)
  3. Amnesia (open source, free)
  4. De-identification Tools from NIST
  5. AirCloak (paid)

13.4 Working with Indigenous Communities

  1. Indigenous peoples and responsible data: an introductory reading list
  2. CARE Principles for Indigenous Data Governance
  3. Carroll, S.R., Herczog, E., Hudson, M. et al. Operationalizing the CARE and FAIR Principles for Indigenous data futures. Sci Data 8, 108 (2021). https://doi.org/10.1038/s41597-021-00892-0

13.5 Data Collection, Privacy, and Gender

  1. How to Ethically and Responsibly Identify Gender in Large Datasets
  2. Clair A Kronk et al. 2022. Transgender data collection in the electronic health record: Current concepts and issues. Journal of the American Medical Informatics Association 29(2):271–284 https://doi.org/10.1093/jamia/ocab136
  3. Heidari, S. et al. 2016. Sex and Gender Equity in Research: rationale for the SAGER guidelines and recommended use. Res Integr Peer Rev 1,2 (2016). https://doi.org/10.1186/s41073-016-0007-6
  4. The European Institute for Gender Equality’s GEAR Tool (Gender Equality in Academia and Research)
  5. UN “Methods for gender data collection and estimation” Training Materials.
  6. Colaço, R., and Watson-Grant, S. (2021). A Global Call to Action for Gender-Inclusive Data Collection and Use. RTI Press Publication No. PB-0026-2112. Research Triangle Park, NC: RTI Press. https://doi.org/10.3768/rtipress.2021.pb.0026.2112

13.6 Emerging issues resulting from technological advancements

  1. Automated Data Collection: The Big Picture and Legal Issues
  2. Are transcription services HIPPA compliant?
  3. Di Minin, E. et al. 2021. How to address data privacy concerns when using social media data in conservation science. Conservation Biology, 35:437-446. https://doi.org/10.1111/cobi.13708

13.7 Text mining, copyright, and the law

  1. Text and Data Mining of In-Copyright Works: Is It Legal?
  2. The plan to mine the world’s research papers
  3. Copyright and the Progress of Science: Why Text and Data Mining Is Lawful
  4. Copyright’s impact on data mining in academic research
  5. Text and Data Mining at Springer Nature
  6. UF Library Guide: Copyright on Campus: Essentials
  7. UF Library Guide: Data Sharing & Copyright

13.8 Ethics of Data Sharing

  1. Commit to transparent COVID data until the WHO declares the pandemic is over
  2. NIH issues a seismic mandate: share data publicly