University of Michigan


IPUMS at University of Minnesota
Ministère De L'enseignement Supérieur, De La Recherche Et De
Erasmus University
United Nations Population Division
Sapienza University of Rome
United Nations
Institut de Recherche pour le Développement (IRD)
IPUMS at University of Minnesota
Institut National d'Études Démographiques (INED)
National University of Singapore
Netherlands Interdisciplinary demographic Institute
Max Planck Institute for Demographic Research (MPIDR)

IUSSP Secretariat

International Union for the Scientific Study of Population (IUSSP)

Council Liaison

Termes de référence

The Standing Committee on Demographic Terminology will continue IUSSP’s long-standing commitment to providing authoritative definitions of concepts, measures, and indicators used in population research.  The Committee will publish and maintain dictionaries, vocabularies, and other documents in formats best suited to the needs of population scientists, students, the providers of official statistics, other scientific domains, and the general public.  Whenever possible, terms will be defined in multiple languages to serve IUSSP’s global audience.  Documentation will be published in both human and machine-readable forms to respond to emerging standards, such as FAIR (Findable, Accessible, Interoperable, Reusable)


  • IUSSP-CODATA Working Group on FAIR Vocabularies. (2023). FAIR Vocabularies in Population Research. Zenodo.
  • Wilkinson, M. D., Dumontier, M., Aalbersberg, Ij. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., & Bourne, P. E. (2016). The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3.

Programme of activities


Request for Proposals: 

Technical Support for a FAIR Vocabulary of Demography

  • Proposals should be sent by 1 June 2024.

The IUSSP seeks partners for the creation of a Multilingual FAIR Vocabulary of Demography. The new Vocabulary will provide authoritative definitions of demographic terms in a form accessible by both humans and machines consistent with emerging standards for the semantic web.

(Read more)