Socio-economic data hosts a series of short-life working groups and projects where the real work of the community takes place.
The working group on 100 questions was formed at the start of the CoP and as of end of 2017 is led by Mark van Wijk of the International Livestock Research Institute (ILRI).
100Q is one of three working groups working to provide the conditions to make socio-economic data FAIR (Findable, Accessible, Interoperable and Reusable). The name 100Q comes from an arbitrary number of 100 questions needed to be asked in standard household surveys in order to get information on key socio-economic indicators that can be useful for research, policymaking, and impact assessment.
Collaborators in this working group include CGIAR scientists from amongst others, ILRI, the International Maize and Wheat Improvement Centre (CIMMYT), the International Food Policy Research Institute (IFPRI), the World Agroforestry Centre (ICRAF) and the International Center for Tropical Agriculture (CIAT), scientists from University of Washington, University of Minnesota, and Royal Tropical Institute KIT.
A socio-economic ontology of controlled vocabularies, classifications, and concordances that allow standardization of key indicators. The key is that in SociO! Is a ‘living’ ontology, since the high variety of socio-economic data implies that it will need to evolve continuously.
The ontology has been developed by CGIAR researchers from the International Food Policy Research Institute (IFPRI), Bioversity, International and the International Maize and Wheat Improvement Centre (CIMMYT). The working group on the socio-economic ontology Socio! works in close collaboration with the Ontology CoP led by Elizabeth Arnaud. The Socio! working group is led by Soonho Kim of IFPRI.
To make socio-economic data or any data for that matter, truly interoperable we need to have machine-readable structural metadata that allows the relatively easy construction of extract, transform, load (ETL) procedures to extract information from our data sets for further analysis or for combining with other data sets with well defined structural metadata.
OIMS stands for ontology independent metadata schema. This work is done by the International Maize and Wheat Improvement Centre (CIMMYT), scientists from various different disciplines in close collaboration with the Minnesota Supercomputing Institute (UMN-MSI) and the College of Food, Agriculture and Natural Resource Sciences (UMN-CFANS) as part of the International Agroinformatics Alliance (IAA).
Computer-aided personal interview (CAPI) software is at the core of electronic socio-economic data capture and is an important component of generating actionable socio-economic data sets. The working group, led by Mike Murphy from the International Food Policy Research Institute (IFPRI), shares some best-practices in the use of CAPI software.
Get involved: If you would like to contribute to these efforts to develop and share best practices on CAPI, or if you are completely new to CAPI and would like to learn more, please contact Mike Murphy.
The blockchain coalition is a group of CGIAR scientists, scientists from academia and advanced research institutes, private sector stakeholders, development practitioners and blockchain enthusiasts who want to promote blockchain for good as part of an effort to try to address some of the seemingly insuperable problems faced by agri-food system value chains in low and middle-income countries.
Get involved: If you want to contribute to the blockchain coalition whether as a scientist, a blockchain tech developer, development practitioner or private sector stakeholder in an agri-food value chain that can use blockchain or distributed ledger technology to benefit the poor, please contact Gideon Kruseman.
The CGIAR Collaborative Platform for Gender Research is actively working with qualitative and quantitative data generated by combined CGIAR gender research activities. This platform and the CGIAR Platform for Big Data in Agriculture are keen on collaborating to integrate gender research perspectives into big data opportunities and vice-versa. The working group is coordinated by Ewen LeBorgne of the Royal Tropical Institute in Amsterdam.
Ethics, privacy, data confidentiality & cybersecurity
The working group on ethics, privacy, data confidentiality and cybersecurity looks at issues related to responsible data management of socio-economic data. We place data in open access adhering to the FAIR principles (Findable, Accessible, Interoperable and Reusable). We must also ensure that the privacy of those from whom we collect information is guaranteed and that safeguards are in place to ensure ethical use of that data.