by Guest Contributor | Jan 16, 2019 | Ontology CoP, Video
VIDEO: Beyond the Census of ThingsKeynote by CGIAR Platform for Big Data in Agriculture Coordinator, Brian King, at PhenoHarmonIS2018 Marianne McDade Cali, Colombia TwitterLinkedIn More...by Guest Contributor | Jan 15, 2019 | Inspire news
This study quantifies the capacity of near-surface remote sensing imagery (e.g. from unmanned aerial vehicles, smartphones, or fixed cameras) to accurately monitor crop phenology and physical disturbances to crop growth at field scales. Our analysis focuses on a pilot...by Guest Contributor | Jan 14, 2019 | Inspire news
By Cecily Layzell Published on http://blog.worldfishcenter.org/ 14 January 2019 WorldFish has been a leader in aquaculture and fisheries development for decades, producing valuable outputs that are generally considered to be global public goods. Recognizing the need...by Guest Contributor | Dec 24, 2018 | Inspire news
Published on https://www.icrisat.org 24 Dec 2018 It is a really exciting time for crop improvement with new tools available and a modernization agenda. ICRISAT and other CGIAR institutions are moving crop improvement into the 21st century, Dr Peter S Carberry,...by Guest Contributor | Dec 5, 2018 | Inspire news
By Jérôme Bossuet First published 5 December 2018 The Ethiopian Institute for Agricultural Research (EIAR), with the support of International Maize and Wheat Improvement Center (CIMMYT), gathered agriculture and food experts from the government, research and private...
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)