Democratizing data
The iHub incubator at the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) in Hyderabad is working to truly “democratize data”.
by Hannah Craig | Apr 6, 2020 | Agronomy CoP, News
The iHub incubator at the International Crops Research Institute for the Semi-Arid Tropics (ICRISAT) in Hyderabad is working to truly “democratize data”.
by CGIAR-CSI | Mar 31, 2020 | Communities of Practice, Geospatial CoP
“Does anybody know a reliable source to extract temperature and rainfall data in 2017 and 2018 for specific locations in Burkina Faso ?” – HG
by International Water Management Institute (IWMI) | Mar 19, 2020 | CGIAR Updates, Geospatial CoP
A new IWMI partnership with Digital Earth Africa (DEA) will leverage state of the art remote-sensing and data management technologies to enhance the ability of African Governments, communities and companies to better manage their water.
by CGIAR-CSI | Mar 19, 2020 | Geospatial CoP
The seasonal flow of rainfall water and flooding in the lowland can be converted into productive use in the lowlands. Murali Gumma and his fellow geospatial scientists at ICRISAT published a study showing the mapping of potential flood-based farming areas in the Afar region in Ethiopia using satellite remote sensing data. To map the intensity […]
by Hannah Craig | Mar 6, 2020 | Inspire news, News
The WorldFish communications team sat down with Alex Tilley, scientist at WorldFish, and Dave Solomon, CEO at Pelagic Data Systems, to discuss how their Inspire Challenge partnership is transforming data collection in small-scale fisheries.
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)