From Data to Capabilities Medha Devare m.devare@cgiar.org

or Combined, Depersonalized Modified from: http://napsterization.org/stories/archives/cat_personal_data.html Scale of Data Shared Data Little Data Aggregated Data or Combined, Depersonalized BIG DATA pool

How? Support best practices in data generation and management Enable data discovery, interoperability, reuse …to allow aggregation, combining, creation of Big Data pool

Why? http://guides.library.queensu.ca/infoneeds

Data discovery++ Findable; Accessible; Interoperable; Reusable

BIG DATA HIGHWAY?

Data quality

Data quality Choose a module Trial, demo set-up Land preparation Residue, mulch Seed treatment Planting, transplanting, sowing Water, irrigation Nutrients Biotic stress Abiotic stress Soil Weather Harvest Post-harvest Socioeconomic Choose a module

Interoperability Syntactic interoperability: machines communicate and exchange data Semantic interoperability: ascribe meaning to and automatically interpret data (ontologies, common vocabularies, etc)

Interoperability – Ontologies

Interoperability – Linked Open Data Linking Open Data cloud diagram 2017, by Andrejs Abele, John P. McCrae, Paul Buitelaar, Anja Jentzsch and Richard Cyganiak. http://lod-cloud.net/ Interoperability – Linked Open Data

Interoperability – Linked Open Data via RDF Country (Tanzania) Village (Long) is part of CIAT TZ Met collected by collected by Dataset 3 (weather) collected from Dataset 1 (C, N in topsoil) collected from collected from is part of is part of IFPRI N content – plot 1 Dataset 2 (maize yields) collected by N content – plot 2 is part of is part of Maize kg/ha – HH 1 Maize kg/ha – HH 2