Observational Data Quality

Observational Data Quality is a scholarly construct that denotes the rigor, accuracy, and trustworthiness of data acquired through systematic observation, distinguished by its focus on the validity, reliability, and completeness of recorded observational phenomena within empirical research contexts.

547

Publications

33.8K

Citations

2.1K

Authors

985

Institutions

Publications per year

2017–2026

155

Authors

2.1K

  1. PR
    Patrick Ryan

    Janssen (United States), United States

    4 publications · 294 citations

    4

    h-index

  2. GH
    George Hripcsak

    Columbia University, United States

    3 publications · 72 citations

    3

    h-index

  3. IS
    I. S. Batista

    Instituto Nacional de Pesquisas Espaciais, Brazil

    3 publications · 78 citations

    3

    h-index

  4. MA
    M. A. Abdu

    Instituto Nacional de Pesquisas Espaciais, Brazil

    3 publications · 78 citations

    3

    h-index

  5. CM
    C. M. Baugh

    Durham University, United Kingdom

    3 publications · 237 citations

    3

    h-index

1–5 of 2.1K

Venues

  1. Monthly Notices of the Royal Astronomical Society

    44 publications · 3.5K citations

    26

    h-index

  2. Astronomy and Astrophysics

    24 publications · 1.7K citations

    17

    h-index

  3. The Astrophysical Journal

    ApJ · 20 publications · 1.6K citations

    16

    h-index

  4. Journal of Geophysical Research Atmospheres

    JGR · 15 publications · 669 citations

    13

    h-index

  5. The Astronomical Journal

    AJ · 10 publications · 957 citations

    10

    h-index

1–5