WEBINAR – 2020 Inspire Challenge Q&A
Everything you need to know about the 2020 Inspire Challenge.
by Hannah Craig | Aug 3, 2020 | Inspire news, News, Webinar
Everything you need to know about the 2020 Inspire Challenge.
by Hannah Craig | Jul 2, 2020 | Covid-19, Inspire news, News, Press Releases
Additional funding will help three innovative projects roll out digitally-enabled, data-driven responses to food security challenges presented by the COVID-19 crisis.
by Hannah Craig | May 28, 2020 | Inspire Challenge, Inspire news, News
Underused data, big data analytics, and ICT survey tools promise to reveal new and useful insights into the complex, multi-actor markets that feed Nairobi’s growing urban population.
by Hannah Craig | May 26, 2020 | Covid-19, Inspire Challenge, Inspire news, News
Additional funding will help catalyze the BIG DATA Platform’s portfolio of innovative, big data projects’ responses to food security challenges presented by the COVID-19 crisis.
by Hannah Craig | Apr 20, 2020 | Inspire news, News
Research findings from the 2019 Inspire Challenge project, “Using commercial microwave links to to estimate rainfalls,” suggest that farmers will benefit from more accurate crop yield monitoring.
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)