Machine-readable Metadata

Machine-Readable Metadata is a type of metadata structured in a standardized, formal syntax that enables automated systems to interpret, process, and exchange data without human intervention.

49

Publications

3.4K

Citations

190

Authors

86

Institutions

Publications per year

2017–2026

14

Authors

190

  1. TW
    Thomas Wächtler

    Ludwig-Maximilians-Universität München, Germany

    3 publications · 97 citations

    3

    h-index

  2. TW
    Tim W. Clark

    Harvard University, United States

    2 publications · 171 citations

    2

    h-index

  3. JG
    Jan Grewe

    University of Tübingen, Germany

    2 publications · 84 citations

    2

    h-index

  4. RK
    Rajaram Kaliyaperumal

    Leiden University Medical Center, Netherlands

    1 publications · 55 citations

    1

    h-index

  5. CA
    Carlo Allocca

    The Open University, United Kingdom

    1 publications · 17 citations

    1

    h-index

1–5 of 190

Venues

  1. Frontiers in Neuroinformatics

    3 publications · 97 citations

    3

    h-index

  2. PubMed

    Repository · 2 publications · 44 citations

    2

    h-index

  3. Data Intelligence

    2 publications · 119 citations

    2

    h-index

  4. Scientific Data

    2 publications · 136 citations

    2

    h-index

  5. bioRxiv (Cold Spring Harbor Laboratory)

    Repository · 1 publications · 21 citations

    1

    h-index

1–5