Monday 12 June, 12:00-13:30 UTC

Register: https://us02web.zoom.us/meeting/register/tZYvcu6hpzouGtTdnZLq2zMtDSuw4d24cihS

This event will launch the report ‘FAIR Vocabularies in Population Research’ https://doi.org/10.5281/zenodo.7818157 produced by the joint IUSSP-CODATA WG with the same name.  The speakers will present the report and its implications and discuss the next steps for implementing its recommendations.

IUSSP and CODATA co-sponsored a working group to study how population research can benefit from the rapidly developing standards and technologies associated with the FAIR principles that all data should be “Findable, Accessible, Interoperable, and Reusable” by both humans and machines (Wilkinson et al., 2016).

Demography is an empirically focused field with a long tradition of widely shared, easily accessible, data collections.  FAIR vocabularies, which allow machines to associate data with concepts, can save researchers hours of tedious work by automating processes of data discovery and harmonization.  The report introduces readers to international standards for documenting data (metadata) that underlie international infrastructures for producing and disseminating demographic data, and it recommends enhancing these services through application of the FAIR principles.  The report builds on the “Ten Simple Rules for making a vocabulary FAIR”  (Cox et al., 2021), prepared by a group formed at a workshop convened by CODATA and DDI to describe how a FAIR vocabulary will work with international standards for documenting and sharing social science data.

The working group calls for IUSSP to create a FAIR Vocabulary of Demography.  Online vocabularies including demographic terms already exist, and most of them define key terms in ways incompatible with demography.  Population research will be at a disadvantage without an authoritative FAIR vocabulary of its own.  Fortunately, a new FAIR Vocabulary of Demography can build upon IUSSP’s long history of support for dictionaries of demography in multiple languages.

Speakers:

1. George Alter, University of Michigan
2. Abdulla Gozalov, United Nations Statistics Division
3. Steven McEachern, Australian Data Archive, Autralian National University