Publication

Practical Tools for Personal and Sensitive Research Data - Curated Table

2026

Abstract

This resource is a community-maintained curated table of practical software tools that researchers can use to manipulate personal or sensitive data throughout the research lifecycle. It was produced by members of Work Group 1 (WG1) of the Personal Data Support Network (PDSN) node, within the Swiss Research Data Support Network (SRDSN) (researchdatasupport.ch).

The table is intended to help researchers, data stewards, and support staff at Swiss higher education institutions (HEIs) identify suitable tools for handling personal or sensitive research data in a privacy-respecting and legally compliant manner.The table covers only tools that researchers actively use (or can use) to manipulate data., so it does not include guides on compliance procedures nor training material.

The table is organized into 6 thematic sheets: Collection, Transcribe, Pseudo & Anonymize, Share, Encrypt, and Others. Each tool entry is described along consistent dimensions: main function, use case, open-source status, technical complexity (Nerd Degree), data type, deployment model, AI/ML usage, Swiss institutional support, and comments.

This dataset includes the curated table in two formats (ODS and XLSX) and a README file. The information is provided on a best-effort basis; contributors do not assume responsibility for its accuracy, completeness, or currency. Users are advised to verify tool-specific information - especially regarding legal compliance and data protection - before making decisions.

Official source

https://infoscience.epfl.ch/entities/publication/62f18f32-7f63-4a25-bb44-e7ca8f71a245

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2026

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/62f18f32-7f63-4a25-bb44-e7ca8f71a245

About this result

Related concepts (32)

Data type

In computer science and computer programming, a data type (or simply type) is a collection or grouping of data values, usually specified by a set of possible values, a set of allowed operations on these values, and/or a representation of these values as machine types. A data type specification in a program constrains the possible values that an expression, such as a variable or a function call, might take. On literal data, it tells the compiler or interpreter how the programmer intends to use the data.

Personal data

Personal data, also known as personal information or personally identifiable information (PII), is any information related to an identifiable person. The abbreviation PII is widely accepted in the United States, but the phrase it abbreviates has four common variants based on personal or personally, and identifiable or identifying. Not all are equivalent, and for legal purposes the effective definitions vary depending on the jurisdiction and the purposes for which the term is being used.

Data management

Data management comprises all disciplines related to handling data as a valuable resource. The concept of data management arose in the 1980s as technology moved from sequential processing (first punched cards, then magnetic tape) to random access storage. Since it was now possible to store a discrete fact and quickly access it using random access disk technology, those suggesting that data management was more important than business process management used arguments such as "a customer's home address is stored in 75 (or some other large number) places in our computer systems.

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