Accessible Data Tables

Accessible Data Tables is a methodological framework designed to structure tabular data representations in accordance with accessibility principles, enabling equitable interaction and comprehension by users with diverse abilities through semantic organization, alternative text, and compatibility with assistive technologies.

3

Publications

65

Citations

12

Authors

11

Institutions

Publications per year

2017–2026

2

Authors

12

  1. CJ
    Crescentia Jung

    Cornell University, United States

    1 publications · 25 citations

    1

    h-index

  2. RD
    Romain David

    Institut de Recherche pour le Développement, France

    1 publications · 17 citations

    1

    h-index

  3. YG
    Yves Gibon

    Biologie du Fruit et Pathologie, France

    1 publications · 17 citations

    1

    h-index

  4. VA
    Vasilios Argyropoulos

    University of Thessaly, Greece

    1 publications · 23 citations

    1

    h-index

  5. DJ
    Daniel Jacob

    Harvard University, United States

    1 publications · 17 citations

    1

    h-index

1–5 of 12

Venues

  1. CHI Conference on Human Factors in Computing Systems

    Conference · 1 publications · 25 citations

    1

    h-index

  2. GigaScience

    1 publications · 17 citations

    1

    h-index

  3. Universal Access in the Information Society

    1 publications · 23 citations

    1

    h-index

1–3