What do livestock eat in Tanzania, India and Vietnam? Explore crowd-sourced data
A tool to help farmers make better decisions about what to feed their livestock has generated a wealth of open-access data on livestock feeds.
by Vanessa Meadu | Feb 9, 2021 | Livestock CoP, News
A tool to help farmers make better decisions about what to feed their livestock has generated a wealth of open-access data on livestock feeds.
by CGIAR-CSI | Dec 4, 2020 | Geospatial CoP
The CGIAR CoPs on Geospatial Data and Data-Driven Agronomy jointly organized a webinar on Open Data Kit (ODK), the world’s most popular open-source data collection platform.
by Marianne McDade | Dec 4, 2020 | Agronomy CoP, Geospatial CoP, News
The Data-Driven Agronomy & Geospatial Data Communities of Practice webinar presented exciting innovations in the open data platform to help data collection efforts in agriculture & offer a glimpse into its future.
by Hannah Craig | Nov 12, 2020 | Ontology CoP, Video
This session on Agrimetrics aired live at the 2020 virtual CGIAR Convention on Big Data in Agriculture.
by Hannah Craig | Nov 9, 2020 | Video
This session on architectures and standards for ethical data sharing aired live at the virtual 2020 CGIAR Convention on 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)