Digital revolution can transform agri-food systems
As the world becomes increasingly digital, the international agricultural research-for-development sector needs to keep up.
by International Maize and Wheat Improvement Center (CIMMYT) | Nov 4, 2020 | CGIAR Updates
As the world becomes increasingly digital, the international agricultural research-for-development sector needs to keep up.
by International Maize and Wheat Improvement Center (CIMMYT) | Oct 29, 2020 | CGIAR Updates
Monitor, Evaluation and Learning Manager uses technological tools to streamline data gathering and analysis for improved project design.
by Hannah Craig | Oct 27, 2020 | News
The importance of agriculture should guarantee its place at the forefront of technological innovation, yet digitalization is taking its time to reach fields and farms.
by Hannah Craig | Oct 26, 2020 | Covid-19, News
Farmers step up to the challenge of accelerating the digitalization of global food systems
by Hannah Craig | Oct 19, 2020 | News
CGIAR staff join for a conversation on how different CGIAR Centers have reacted to the crisis in terms of digital sharing, learning, and communication as well as what insights and lessons there are for how to work together for One CGIAR.
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)