Announcing the 2020 Inspire Challenge finalists
Fifteen innovative big data projects have qualified as finalists of the 2020 CGIAR Inspire Challenge and will pitch at the upcoming virtual Convention on Big Data in Agriculture.
by Hannah Craig | Oct 9, 2020 | Featured, Inspire 2020 Finalists, Inspire Challenge, Inspire news, News, Press Releases
Fifteen innovative big data projects have qualified as finalists of the 2020 CGIAR Inspire Challenge and will pitch at the upcoming virtual Convention on Big Data in Agriculture.
by Hannah Craig | Sep 25, 2020 | Covid-19, Featured, News
Through seven conversational sessions, we engaged food system stakeholders from around the world to examine on-the-ground realities, emerging digital solutions, and big data opportunities that have arisen from the pandemic.
by Hannah Craig | Jul 15, 2020 | Covid-19, News, Opinion
As Covid-19 continues to disrupt food distribution systems, it is not only critical to ensure that supply chains continue to function, but also to assess how to emerge stronger from the crisis.
by Hannah Craig | Jun 23, 2020 | Agronomy CoP, Communities of Practice, Webinar
Webinar organized by the Data-Driven Agronomy Community of Practice of the CGIAR Platform for Big Data in Agriculture.
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.
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)