Webinar – Enabling Data-Driven Transformation of Agriculture
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 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 Marianne McDade | Dec 3, 2020 | News
The Alliance of Bioversity International and CIAT published a first-of-its-kind study about the global divide in data-driven farming.
by Hannah Craig | Nov 12, 2020 | Video
These sessions, the introduction to 2020 CGIAR Convention on Big Data in Agriculture and the keynote talk on computational sustainability, aired live at the virtual event.
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?
by Vanessa Meadu | Sep 25, 2020 | Livestock CoP, News
Taking stock of livestock and sustainable development
Vanessa Meadu
Fri, 09/25/2020 – 09:30
Sep 25, 2020
Animal Health, Economy, Environment, …
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)