Sensitive Data Minimization

Sensitive Data Minimization is a methodological principle within the domain of investigative confidentiality that mandates the systematic limitation of collecting, processing, and retaining only the minimum amount of personally identifiable or confidential information necessary to achieve the specific objectives of an investigation.

55

Publications

2.8K

Citations

188

Authors

92

Institutions

Publications per year

2017–2026

26

Authors

188

  1. ND
    Nico Dellaert

    Eindhoven University of Technology, Netherlands

    3 publications · 73 citations

    3

    h-index

  2. MR
    Maurizio Rafanelli

    Istituto di Analisi dei Sistemi ed Informatica Antonio Ruberti, Italy

    2 publications · 47 citations

    2

    h-index

  3. FM
    Francesco M. Malvestuto

    Sapienza University of Rome, Italy

    2 publications · 47 citations

    2

    h-index

  4. MD
    Margarida de Sanches Osorio

    Transportes Inovação e Sistemas (Portugal), Portugal

    2 publications · 56 citations

    2

    h-index

  5. MD
    Michael D. Geurts

    Brigham Young University, United States

    2 publications · 45 citations

    2

    h-index

1–5 of 188

Venues

  1. 2

    h-index

  2. Journal of Marketing Research

    2 publications · 45 citations

    2

    h-index

  3. Methods of Information in Medicine

    2 publications · 65 citations

    2

    h-index

  4. IRIS Research product catalog (Sapienza University of Rome)

    Repository · 1 publications · 25 citations

    1

    h-index

  5. Statistical Papers

    1 publications · 134 citations

    1

    h-index

1–5