Big data collaboration for crop loss research – it’s complicated
We already know we lose a vast amount of crop produce to diseases, pests, and weeds. But how do we find out how much, where, and when?
by Guest Contributor | Oct 25, 2017 | Communities of Practice, Geospatial CoP, News, Privacy & Ethics
We already know we lose a vast amount of crop produce to diseases, pests, and weeds. But how do we find out how much, where, and when?
by Marianne McDade | Oct 19, 2017 | Inspire news, News
The same device that helped control the Zika and Ebola viruses, to be used to tackle devastating wheat rust epidemics that are threatening global food security
by Marianne McDade | Oct 9, 2017 | Innovation, News
Using Facebook to track the spread of livestock diseases and your smartphone to diagnose crop diseases in realtime, could soon be a reality.
by Marianne McDade | Sep 21, 2017 | Video
Click for more
by Marianne McDade | Sep 21, 2017 | News
We are proud to present the five winners of our USD100K Inspire Challenge grant.
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)