Data Discovery Metadata

Data Discovery Metadata is a type of geospatial metadata that serves to describe the content, spatial extent, temporal characteristics, and thematic attributes of a dataset, enabling efficient identification, access, and evaluation of its relevance within a discovery environment.

18

Publications

871

Citations

138

Authors

69

Institutions

Publications per year

2017–2026

10

Authors

138

  1. LO
    Lucila Ohno‐Machado

    University of California San Diego, United States

    3 publications · 99 citations

    3

    h-index

  2. AG
    Alejandra González-Beltrán

    University of Oxford, United Kingdom

    2 publications · 89 citations

    2

    h-index

  3. PR
    Philippe Rocca‐Serra

    University of Oxford, United Kingdom

    2 publications · 89 citations

    2

    h-index

  4. GA
    George Alter

    University of Michigan, United States

    2 publications · 89 citations

    2

    h-index

  5. SL
    Sara Lafia

    University of Michigan, United States

    1 publications · 15 citations

    1

    h-index

1–5 of 138

Venues

  1. Journal of Library Metadata

    JLM · 2 publications · 48 citations

    2

    h-index

  2. Journal of Hydroinformatics

    1 publications · 13 citations

    1

    h-index

  3. 1

    h-index

  4. Graduate School and Research Center in Digital Science (EURECOM)

    Repository · 1 publications · 13 citations

    1

    h-index

  5. Proceedings of the VLDB Endowment

    PVLDB · 1 publications · 21 citations

    1

    h-index

1–5