2020 Convention session – Gender Data: Knowledge Gaps, Research Protocols & Improving Data Systems
This session on gender data aired live at the virtual 2020 CGIAR Convention on Big Data in Agriculture.
by Hannah Craig | Oct 30, 2020 | Gender, Video
This session on gender data aired live at the virtual 2020 CGIAR Convention on Big Data in Agriculture.
by Hannah Craig | Jun 17, 2020 | Communities of Practice, News, SocioEconomic CoP
A lack of consistent keywords when tagging research is leading to holes in searches for gender research across CGIAR, the world’s largest network of agricultural researchers. A more systematic and sharper use of keywords when describing datasets will improve findability in searches.
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.
by Vanessa Sebi | Mar 6, 2020 | Livestock CoP
On International Women’s Day, we call for gender equality in livestock data and outline key actions to close the gap.
by Stefanie Neno | Feb 20, 2020 | Agronomy CoP, Communities of Practice, Digital Extension
Video-mediated extension is a useful tool to prompt learning and dialogue among communities, with women presenters shown to provide a role model for other women.
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)