Webinar – Adaptative extension: addressing the diversity of smallholder farmers
The Data-Driven Agronomy Community of Practice webinar on digital extension programs and how to provide tailored information to farmers and farming communities.
by Marianne McDade | May 24, 2021 | Agronomy CoP, Webinar
The Data-Driven Agronomy Community of Practice webinar on digital extension programs and how to provide tailored information to farmers and farming communities.
by Marianne McDade | Dec 4, 2020 | Agronomy CoP, Geospatial CoP, News
The Data-Driven Agronomy & Geospatial Data Communities of Practice webinar presented exciting innovations in the open data platform to help data collection efforts in agriculture & offer a glimpse into its future.
by Marianne McDade | Dec 3, 2020 | IDM Management CoP, News, Webinar
The Information and Data Management Community of Practice presented a webinar on data-driven transformation that could enable hyper-local solutions at a high speed and scale.
by Hannah Craig | Nov 9, 2020 | Geospatial CoP, Webinar
This webinar by the Geospatial Data Community of Practice presents an overview of Dr. Murali Krishna Gumma’s croplands mapping work using satellite remote sensing, an extensive collection of ground referencing data, and machine learning algorithms.
by Hannah Craig | Oct 6, 2020 | Agronomy CoP, News, Webinar
What are the implications of scaling on the management of projects and programs, the role of leadership, local ownership and collaboration? What are useful tools and tips for practitioners who want to reach sustainable change at scale?
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)