Community-based Data Collection

Community-Based Data Collection is a research methodology within the broader field of responsible data collection that specifically involves the active participation, governance, and knowledge of local communities in the design, execution, and stewardship of data gathering processes to ensure cultural relevance, ethical accountability, and equitable benefit.

130

Publications

7.8K

Citations

741

Authors

332

Institutions

Publications per year

2017–2026

63

Authors

741

  1. AK
    Ai Koyanagi

    Parc Sanitari Sant Joan de Déu, Spain

    4 publications · 212 citations

    4

    h-index

  2. BS
    Brendon Stubbs

    King's College London, United Kingdom

    3 publications · 178 citations

    3

    h-index

  3. DV
    Davy Vancampfort

    KU Leuven, Belgium

    3 publications · 178 citations

    3

    h-index

  4. HO
    Hans Oh

    University of Southern California, United States

    3 publications · 165 citations

    3

    h-index

  5. MA
    M. A. Parsons

    University of Sheffield, United Kingdom

    3 publications · 108 citations

    3

    h-index

1–5 of 741

Venues

  1. PLoS ONE

    7 publications · 546 citations

    7

    h-index

  2. PubMed

    Repository · 3 publications · 167 citations

    3

    h-index

  3. Proceedings of the ACM on Human-Computer Interaction

    PACMHCI · 2 publications · 116 citations

    2

    h-index

  4. BMC Public Health

    2 publications · 190 citations

    2

    h-index

  5. Journal of the Learning Sciences

    2 publications · 96 citations

    2

    h-index

1–5