MiNDFIRL (MInimum Necessary Disclosure For Interactive Record Linkage)

MiNDFIRL (MInimum Necessary Disclosure For Interactive Record Linkage) is a prototype software that can be used to enhance confidentiality of datasets by restricting disclosures of identifying information during the record linkage process.

Open Source Code on Git

  • You can download the open source code here: MiNDFIRL software
  • From a different project: Our lab has also done some initial work on Machine Learning based automated record linkage codes:
    • Machine Learning based (SVM, Random Forest, and neural networks) to link databases in a controlled experiment: AutoRL
    • A trained model (based on Random Forest algorithm) for automatic record linkage and and open-source code to apply it to other dataset: Trained Model
    • A package to introduce errors into a dataset, enabling us to benchmark record linkage frameworks at different error rates: Error Generator
  • Companion Template Documents

    MiNDFIRL also comes with three companion documents that facilitate communication about the software to different stakeholders. All these documents are available on the git repository along wth the source code in editable format (word). Below we have posted the documents for your review.

  • Frequently Asked Questions (Privacy Statement)
  • MINDFIRL Template DUA
  • MINDFIRL Template IRB
  • Learn more