Webinar – Modeling with 40 years of international wheat data
This webinar by the Crop Modeling Community of Practice presents selected outputs from big data analysis of four decades of international wheat yield data.
by Hannah Craig | Dec 6, 2021 | Communities of Practice, Crop Modeling CoP, Video, Webinar
This webinar by the Crop Modeling Community of Practice presents selected outputs from big data analysis of four decades of international wheat yield data.
by Hannah Craig | Nov 23, 2021 | Featured, News
The CGIAR Advisory Services Shared Secretariat (CAS Secretariat), in line with its mandate and 2021 workplan, commissioned an independent evaluation team of subject matter experts to evaluate the work of the Platform between 2017 and mid-2021. While the evaluation is still ongoing, some preliminary survey results are already available to share.
by Marianne McDade | Jun 8, 2021 | Ontology CoP
CGIAR and FAO announce new collaboration aiming to enhance data sharing in the food and agricultural sector through the AGROVOC Thesaurus.
by Marianne McDade | Apr 23, 2021 | IDM Management CoP, Video, Webinar
The Information and Data Management CoP hosts a webinar to discuss the challenges faced when managing qualitative data, including the openness and FAIRness of the information.
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.
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)