3 sources of demand for big data in biodiversity innovation
Margaret Ann Tutwiler, the Director General of Bioversity International, discusses the importance of big data tools for supporting agricultural diversity initiatives.
by Guest Contributor | Oct 17, 2018 | Convention 2018, Innovation, Youth in Data
Margaret Ann Tutwiler, the Director General of Bioversity International, discusses the importance of big data tools for supporting agricultural diversity initiatives.
by Guest Contributor | Oct 15, 2018 | Convention 2018, Youth in Data
Blockchain in Food Systems Blockchain is one of the most exciting emerging technologies and was given much attention during the 2018 CGIAR Big Data In Agriculture Platform Convention. Here are some highlights. There were a series of interactive sessions on Blockchain...by Guest Contributor | Oct 11, 2018 | Youth in Data
Dr. Chandra from FarmBeats on how the FarmBeats system uses Internet of Things (IoT) applications to support farmers and the three main obstacles that the agriculture sector faces in implementing IoT technology.
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 Marianne McDade | Oct 6, 2018 | Convention 2018, Inspire Challenge, News
Announcing our 2018 Inspire Challenge Winners CGIAR Platform for Big Data in Agriculture’s 2018 Inspire Challenge winners were awarded during the Platform’s second annual congress — Decoding the Data Ecosystem — in Nairobi, Kenya, 3 to 5 October 2018. We...
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)