COVID-19 and the African livestock sector: What data is needed to respond and adapt?
The COVID-19 crisis has underscored critical data gaps around livestock, hampering the ability of governments and organisations to respond efficiently.
by LivestockData.org News | Jul 31, 2020 | Livestock CoP
The COVID-19 crisis has underscored critical data gaps around livestock, hampering the ability of governments and organisations to respond efficiently.
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 Vanessa Meadu | Jun 16, 2020 | Communities of Practice, Livestock CoP
The Livestock Data for Decisions Community of Practice convened to discuss why better livestock data is needed to tackle the COVID-19 crisis. Here they outline the proposed community actions on livestock data and COVID-19.
by Gareth Salmon | Jun 8, 2020 | Livestock CoP
Counting livestock is not straightforward, but the available data can still shed light on trends.
by Gareth Salmon | May 29, 2020 | Livestock CoP
Economy, Environment, Human nutrition, Productivity …
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)