Metadata Labels

Metadata Labels is a labeling system that consists of structured annotations used to describe, categorize, or identify the attributes, context, or characteristics of academic contributions such as methods, models, frameworks, theories, constructs, datasets, tasks, or metrics within scholarly communication.

6

Publications

155

Citations

31

Authors

14

Institutions

Publications per year

2017–2026

3

Authors

31

  1. GW
    Guy Williams

    University of Cambridge, United Kingdom

    1 publications · 14 citations

    1

    h-index

  2. JB
    Jürgen Bernard

    Technische Universität Darmstadt, Germany

    1 publications · 27 citations

    1

    h-index

  3. NC
    Nezih Cereb

    HistoGenetics (United States), United States

    1 publications · 36 citations

    1

    h-index

  4. BB
    Bettina Berendt

    KU Leuven, Belgium

    1 publications · 41 citations

    1

    h-index

  5. TS
    Tobias Schreck

    University of Konstanz, Germany

    1 publications · 27 citations

    1

    h-index

1–5 of 31

Venues

  1. Human Immunology

    1 publications · 36 citations

    1

    h-index

  2. International Conference on Weblogs and Social Media

    Conference · 1 publications · 41 citations

    1

    h-index

  3. User Modeling and User-Adapted Interaction

    1 publications · 24 citations

    1

    h-index

  4. Yearbook of Medical Informatics

    1 publications · 13 citations

    1

    h-index

  5. PLoS Computational Biology

    1 publications · 13 citations

1–5