Designing mobile phone solutions for agricultural extension: Perspectives matter!
Creating successful digital tools for agricultural advisory requires designers to step into farmers’ shoes. And extension agents’ shoes. And their supervisors’ shoes…
by Marianne McDade | Apr 22, 2021 | Agronomy CoP, News
Creating successful digital tools for agricultural advisory requires designers to step into farmers’ shoes. And extension agents’ shoes. And their supervisors’ shoes…
by Marianne McDade | Dec 3, 2020 | IDM Management CoP, News, Webinar
The Information and Data Management Community of Practice presented a webinar on data-driven transformation that could enable hyper-local solutions at a high speed and scale.
by Marianne McDade | Dec 3, 2020 | News
The Alliance of Bioversity International and CIAT published a first-of-its-kind study about the global divide in data-driven farming.
by Marianne McDade | Nov 20, 2020 | News, Youth in Data
This is one of a series of blogs written by our Youth in Data delegates who participated in the 2020 CGIAR Convention on Big Data in Agriculture. The global event was held virtually 19-23 October, 2020.
by Marianne McDade | Nov 13, 2020 | Video, Youth in Data
2020 Youth in Data Delegate Meghana Rangaraju Sai interviews Ajay Kumar Tannirkulam, 2020 Inspire Challenge Finalist– FarmPhone for Sustaining Incomes & Market Access, as part of the 2020 Youth in Data Digital workshop which took place alongside the virtual CGIAR Convention on Big Data in Agriculture.
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)