2020 Convention session – Generalized Planetary Remote Sensing
This session on generalized planetary remote sensing aired live at the 2020 virtual CGIAR Convention on Big Data in Agriculture.
by Hannah Craig | Nov 19, 2020 | Geospatial CoP, Video
This session on generalized planetary remote sensing aired live at the 2020 virtual CGIAR Convention on Big Data in Agriculture.
by Hannah Craig | Nov 4, 2020 | Geospatial CoP, Video
This session on new R packages scalable geospatial data analysis aired live at the virtual 2020 CGIAR Convention on Big Data in Agriculture.
by cmbiradar | May 11, 2020 | Geospatial CoP
The COVID-19 global pandemic resulted in a precautionary measures in several countries that inevitably affected agri-food systems, its allied industries and livelihoods of workers and communities alike. Initially, there were no available data to accurately assess COVID-19 impact on the agricultural sector, livelihoods and environment. While country-wide lockdowns were necessary measures, they brought the agricultural […]
by CGIAR-CSI | Apr 17, 2020 | Geospatial CoP
This blog post was written by Giriraj Amarnath, Surajit Ghosh, and Carolyn Fry at the International Water Management Institute and first published at Thrive by CGIAR Research Program on Water, Land, and Ecosystem. Take a look at the satellite map below. That vast swathe of orange and red across northwestern India and Pakistan depicts crops […]
by Hannah Craig | Apr 13, 2020 | Geospatial CoP, Webinar
Webinar organized by the Geospatial Data Community of Practice of the CGIAR Platform for Big Data in Agriculture.
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)