Webinar – Digital soil mapping: Applications for fertilizer management
Webinar organized by the Geospatial Data Community of Practice of the CGIAR Platform for Big Data in Agriculture.
by Hannah Craig | Apr 13, 2020 | Geospatial CoP, Webinar
Webinar organized by the Geospatial Data Community of Practice of the CGIAR Platform for Big Data in Agriculture.
by Hannah Craig | Jan 10, 2020 | Communities of Practice, Crop Modeling CoP, News
The Crop Modelling Community of Practice provided a mini-grant to Peter Jones of Waen Associates in order to solve MarkSim data dilemmas. Read about the journey to the solution: MetGrid files.
by CGIAR-CSI | Dec 4, 2019 | Geospatial CoP
The Global Soil Data Manager – Sub-Saharan Africa is an example of how we can combine outcomes from big data and local data to inform local decision.
by CGIAR-CSI | Sep 18, 2019 | Geospatial CoP
Tor-Gunnar Vågen and Leigh Ann Winowiecki from World Agroforestry (ICRAF) co-authored a study on the spatial assessments of soil erosion prevalence using satellite remote sensing data.
by CGIAR-CSI | May 30, 2019 | Geospatial CoP
Nicole Lefore from IWMI co-authored a study evaluating the potential climate change effects on the land suitability for groundwater irrigation in Ghana.
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)