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March 12, 20260 citationsOpen Access

Data Management Plan - fAIces project

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HMHelena MachadoJSJoão Santos

Key Points

  • The aim is to delineate the procedures for managing data throughout the fAIces project. It focuses on data protection and ethical standards.
  • Outlined procedures for data collection, documentation, and storage.
  • Described handling of various data types including interviews and fieldnotes.
  • Ensured compliance with GDPR and institutional ethics guidelines.
  • Established protocols for protecting sensitive personal data.
  • Promoted transparency and open science practices.
  • Planned for continuous updates to data management processes.

Abstract

This document presents the Data Management Plan (DMP) for the ERC Advanced Grant project fAIces – Facial Recognition Technologies. Etho-Assemblages and Alternative Futures (ERC-2023-ADG, Grant No. 101140664). The DMP outlines the procedures for managing research data generated throughout the project, including data collection, documentation, storage, protection, sharing, and long-term preservation. The project investigates the societal implications of facial recognition technologies through multi-sited qualitative research involving scientists, technology developers, activists, Black communities, and artists. The DMP describes how different types of data—such as interview transcripts, focus group materials, ethnographic fieldnotes, digital trace data, and project documentation—will be handled in compliance with the General Data Protection Regulation (GDPR) and relevant institutional ethical guidelines. This public version of the DMP supports transparency and open science practices while ensuring appropriate safeguards for sensitive and personal data. The document will be updated during the lifetime of the project as data management procedures evolve.

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Cite This Study

Machado et al. (2026) studied this question.

synapsesocial.com/papers/69b2584996eeacc4fcec7b88https://doi.org/10.5281/zenodo.18927598
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