GARDIAN enables data discovery across CGIAR and beyond
GARDIAN, the BIG DATA Platform’s powerful search engine, helps CGIAR get its data together.
by Hannah Craig | Jun 24, 2019 | News
GARDIAN, the BIG DATA Platform’s powerful search engine, helps CGIAR get its data together.
by Hannah Craig | Jun 18, 2019 | Access & Discoverability, News, Press Releases
Unlocking digital innovation in agricultural development requires the ability to aggregate data from a variety of sources and disciplines. GARDIAN enables users to do just that.
by Hannah Craig | May 24, 2019 | News
The BIG DATA Platform’s Coordinator Brian King spoke with the Agricultural Information Management Standards team facilitated by the Food and Agriculture Organization of the United Nations.
by Hannah Craig | Apr 10, 2019 | Crop Modeling CoP, Webinar
CGIAR Webinar by the Platform for Big Data in Agriculture’s Community of Practice on Crop Modeling – A Tale of Two Platforms.
by WorldFish | Jan 13, 2019 | CGIAR Updates
Recent progress on open access and open data is helping WorldFish to improve efficiencies and innovation in an era of increasingly complex data management.
The post Byte by byte: How improved data management is enhancing innovation and impact appeared …
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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)