Type
Date
Authors
Corporate author
Editor
Illustrator
Producer
Photographer
Contributor
Writer
Translator
Journal Title
Journal ISSN
Volume Title
Access Rights
Abstract
Description
At the behest of CIMMYT's management committee a set of calculation procedures was developed to mix and match divergent data sets for research prioritization purposes. For transparency, reproducibility and re-useability of the procedures and other procedures like these ones, the agri-food data analysis modeling framework (ADAM) was conceived. ADAM is based on the design principle of the separation of data, model switches and calculation rules. ADAM provides insight into historic data sets by recombining information and providing results at a vast variety of possible aggregation levels in a transparent way. The modeling framework can, in principle, operate at a variety of aggregation levels. Currently the focus is on country level as the lowest level of aggregation, because that is the level at which data tends to be available in such a way that it can be made into a comprehensive and comparable format.
Keywords
Citation
APA citation
ISO citation
Copyright
CIMMYT manages Intellectual Assets as International Public Goods. The user is free to download, print, store and share this work. In case you want to translate or create any other derivative work and share or distribute such translation/derivative work, please contact CIMMYT-Knowledge-Center@cgiar.org indicating the work you want to use and the kind of use you intend; CIMMYT will contact you with the suitable license for that purpose
Journal
Journal volume
Journal issue
Article number
Place of Publication
Mexico
Publisher
CIMMYT
DOI
AGROVOC
Related Datasets
CGIAR Initiatives
Initiative
Foresight
Impact Area
Poverty reduction, livelihoods & jobs
Action Area
Systems Transformation
Donor or Funder
CGIAR Research Program on Maize
CGIAR Research Program on Wheat
CGIAR Research Program on Wheat