Early 2017, the nascent community of practice on socio-economic data held its first virtual meet-ups. One of the first things that emerged from these discussions was the recognition that any form of standardization in the socio-economic domain was conspicuously absent. In an effort to redress the challenges facing socio-economic data reuse and data interoperability, three working groups emerged. The working group 100Q focused on identifying key indicators and related questions that are commonly used and could be used as a standard approach to ensure data sets are comparable over time and space. The working group SociO! focused on the development of a socio-economic ontology with accepted standardized terms to be used in controlled vocabularies linked to socio-economic data sets. The working group OIMS focused on the development of a flexible and extensible, ontology-agnostic, human-intelligible and machine-readable metadata schema to accompany socio-economic data sets.

The first report from the community of practice on socio-economic data, "Towards a core approach for cross-sectional farm household survey data collection: a tiered setup for quantifying key farm and livelihood indicators ", presents the results of the work conducted in the working group 100Q.

download the report