VIDEO: Q&A with Monique Morrow from Vetri.global
Interview by 2019 Youth in Data Delegate Habeebuddin Mir at the BIG DATA Convention held in Hyderabad, India, 16-18 October.
by Hannah Craig | Oct 31, 2019 | Video, Youth in Data
Interview by 2019 Youth in Data Delegate Habeebuddin Mir at the BIG DATA Convention held in Hyderabad, India, 16-18 October.
by Hannah Craig | Oct 10, 2019 | Communities of Practice, News, Ontology CoP
The Ontologies Community of Practice is engaged in the development of ontologies for agricultural research. In a series of blog posts, we’ll take a look at ongoing ontologies projects and developments.
by Africa Rice Center | Mar 7, 2019 | CGIAR Updates
Innovating for change: Spotlight on a champion rice processor in Africa On the occasion of the International Women’s Day 2019, the theme of which is “Think equal, build smart, innovate for change,” AfricaRice is saluting Mme Aichatou Camara, president of a 55-member women rice processors’ association in Bouaké, Côte d’Ivoire. A strong advocate for innovating […]
The post International Women’s Day 2019 appeared first on CGIAR.
by Guest Contributor | Oct 10, 2018 | Gender, Youth in Data
To achieve gender SDGs gender data must be made visible Achieving the United Nations Sustainable Development Goals (SDGs) requires integrated action on social, environmental, and economic challenges within all countries. Marcelo Tyszler, Advisor on Sustainable...by Guest Contributor | Mar 9, 2018 | IWD2018, Uncategorized
“Just under 50% of the global agricultural workforce is female, and over two-thirds of smallholder farmers are women, by some estimates. Why shouldn’t this female workforce have similar representation in those trying to work for and with them?”
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)