For the rural farmer, does big data raise more questions than answers?
Does big data raise more questions than answers?
by Guest Contributor | Apr 12, 2018 | Application & Use, Blog Competition
Does big data raise more questions than answers?
by Guest Contributor | Apr 12, 2018 | Access & Discoverability, Blog Competition
Big data in agriculture is instrumental not just for farmers who produce our food but for various stakeholders and along the agriculture value chain.
by Guest Contributor | Apr 12, 2018 | Application & Use, Blog Competition
Big data can help smallholders can become agriculture’s big players.
by Guest Contributor | Apr 11, 2018 | Access & Discoverability, Blog Competition, Innovation
As a young data scientist I strongly believe that if we can share the data we hold in our laptops, and take advantage of the daily generated data, we can have more nutritious food in our plates.
by Guest Contributor | Apr 11, 2018 | Access & Discoverability, Blog Competition
Quick disease monitoring and diagnosis of tubers, due to the limited number of experts and resources to cover the entire country, has been a problem for Uganda. How can big data solve this?
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)