2020 Convention session – Next steps in socio-economic data interoperability
This session on next steps in socio-economic data interoperability aired live at the 2020 virtual CGIAR Convention on Big Data in Agriculture.
by Hannah Craig | Nov 19, 2020 | SocioEconomic CoP, Video
This session on next steps in socio-economic data interoperability aired live at the 2020 virtual CGIAR Convention on Big Data in Agriculture.
by Hannah Craig | Nov 4, 2020 | SocioEconomic CoP, Video
This session, an introduction to AgriFoodTrust and call to action, aired live at the virtual 2020 CGIAR Convention on Big Data in Agriculture.
by International Maize and Wheat Improvement Center (CIMMYT) | Oct 19, 2020 | CGIAR Updates, Communities of Practice, News, SocioEconomic CoP
The AgriFoodTrust platform teams up researchers from CGIAR centers with academia, private sector agri-food companies, tech start-ups and development practitioners to experiment with blockchain and related trust technologies in the agri-food sector.
by Hannah Craig | Jul 30, 2020 | Communities of Practice, Ontology CoP, Webinar
Webinar organized by the Ontologies Community of Practice of the CGIAR Platform for Big Data in Agriculture.
by Hannah Craig | May 20, 2020 | Communities of Practice, News, SocioEconomic CoP
CGIAR socio-economic researchers have developed a standardized set of farm household survey questions to improve dataset comparability over space and time.
CGIAR Platform for Big Data in Agriculture advocates open data for agricultural research for development. It considers that opening up research data for scrutiny and reuse confers significant benefits to society.
However, the Platform appreciates that not all research data can be open and that a broad range of legitimate circumstances may require data to be restricted.
As an integral component of its advocacy for open data, the Platform promotes responsible data management through the entire research data lifecycle from planning, collecting, storing, disclosing or publishing, transferring, discovery and archiving.
These guidelines were created from information collected from: review on best and emerging practices across various sectors in the fast changing landscape of privacy and ethics (130 external resources); privacy and ethic materials sourced from seven CGIAR centers; first draft was circulated for input and feedback across CGIAR and incorporated into this edition. It’s important to note that this is an evolving document, the next stage is to consult externally for further input.
These Guidelines are intended to assist agricultural researchers handle privacy and personally identifiable information (PII) in the research project data lifecycle.
Ensure compatibility with the DMP-PII (as above) and also the purpose for which prior informed consent has been obtained
Ensure PII is stored securely to protect privacy, through organizational or project specific safeguards to prevent unauthorized access, accidental disclosure or breach of data (physical & technical)
Don’t store data in unsecured locations or on unsecured devices or servers
Don’t store encrypted data and encryption keys in locations where they can be easily accessed simultaneously
Don’t underestimate the importance and value of administrative safeguards to standardize practices (i.e. organizational policies, procedures and maintenance of security measures that are designed to protect private information, data and access)