Democratizing data
The iHub incubator at the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) in Hyderabad is working to truly “democratize data”.
by Hannah Craig | Apr 6, 2020 | Agronomy CoP, News
The iHub incubator at the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) in Hyderabad is working to truly “democratize data”.
by Hannah Craig | Apr 6, 2020 | Agronomy CoP, Digital Extension, News
A new app allows farmers to keep a daily digital diary of their farm management, enabling researchers to track their chemical use and improve food quality and certification.
by Stefanie Neno | Feb 20, 2020 | Agronomy CoP, Communities of Practice, Digital Extension
The Plantix app in India uses machine learning, helping thousands of farmers detect and diagnose disease and pest damage.
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.
by CGIAR-CSI | Sep 16, 2019 | Geospatial CoP
CGIAR-CSI partners with EIS-Africa to participate in the upcoming AfricaGIS 2019 conference in Rwanda in November 2019. About 30 community members representing all CGIAR Centers and partners will present their latest research in the Sustainable Agriculture and Food Security track. AfricaGIS 2019 Innovations in Geospatial Technologies for Achieving Sustainable Development Goals in Africa Kigali Conference […]
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)