Big Data Coordination Platform: Full Proposal 2017-2022
| cg.contributor.affiliation | CGIAR Platform for Big Data in Agriculture | en_US |
| cg.contributor.crp | Big Data | en_US |
| cg.subject.system | Revised proposal | en_US |
| cg.subject.system | phase 2 | en_US |
| cg.subject.system | proposal | en_US |
| cg.subject.system | Platforms | en_US |
| cg.subject.system | Big Data | en_US |
| dc.contributor.author | CGIAR Platform for Big Data in Agriculture | en_US |
| dc.date.accessioned | 2016-08-12T10:10:08Z | en_US |
| dc.date.available | 2016-08-12T10:10:08Z | en_US |
| dc.identifier.uri | https://hdl.handle.net/10947/4450 | en_US |
| dc.title | Big Data Coordination Platform: Full Proposal 2017-2022 | en_US |
| dcterms.abstract | This proposal for a Big Data and ICT Platform therefore focuses on enhancing CGIAR and partner capacity to deliver big data management, analytics and ICT-focused solutions to CGIAR target geographies and communities. The ultimate goal of the platform is to harness the capabilities of Big Data to accelerate and enhance the impact of international agricultural research. It will support CGIAR’s mission by creating an enabling environment where data are expertly managed and used effectively to strengthen delivery on CGIAR SRF’s System Level Outcome (SLO) targets. Critical gaps were identified during the extensive scoping consultations with CGIAR researchers and partners (provided in Annex 8). The Platform will achieve this through ambitious partnerships with initiatives and organizations outside CGIAR, both upstream and downstream, public and private. It will focus on promoting CGIAR-wide collaboration across CRPs and Centers, in addition to developing new partnership models with big data leaders at the global level. As a result, CGIAR and partner capacity will be enhanced, external partnerships will be leveraged, and an institutional culture of collaborative data management and analytics will be established. Important international public goods such as new global and regional datasets will be developed, alongside new methods that support CGIAR to use the data revolution as an additional means of delivering on SLOs. | en_US |
| dcterms.accessRights | Open Access | en_US |
| dcterms.issued | 2016-08-12 | en_US |
| dcterms.language | en | en_US |
| dcterms.subject | agricultural research | en_US |
| dcterms.type | Proposal | en_US |