Knowledge and Data Sharing - Annual Technical Report 2021
The main purpose of this team effort is to help the AICCRA Project to support evidencebased decision-making by ensuring that the research data, which is essential for the integrity, quality, and value of research, is appropriately managed at the cluster level. It also strengthens the culture of resu...
| Autores principales: | , , , |
|---|---|
| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
Accelerating Impacts of CGIAR Climate Research for Africa
2021
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/118154 |
| _version_ | 1855526751932776448 |
|---|---|
| author | Tobon, Hector Almanzar, Manuel Ramírez, Margarita M. Tanaka, Kenji |
| author_browse | Almanzar, Manuel Ramírez, Margarita M. Tanaka, Kenji Tobon, Hector |
| author_facet | Tobon, Hector Almanzar, Manuel Ramírez, Margarita M. Tanaka, Kenji |
| author_sort | Tobon, Hector |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The main purpose of this team effort is to help the AICCRA Project to support evidencebased decision-making by ensuring that the research data, which is essential for the integrity, quality, and value of research, is appropriately managed at the cluster level. It also strengthens the culture of results-based project monitoring and evaluation (M&E) by ensuring the reporting of high-quality information products.
Additionally, we support establishing data sharing and management processes from legal agreements through research operations and reporting. This “conveyor belt” process is applied to AICCRA through the MIS reporting system called Managing Agricultural Research for Learning and Outcomes (MARLO). MARLO is an online platform assisting the AICCRA project in its strategic results-based program planning and reporting of research clusters. It covers the cluster cycle from planning to reporting and learning. Reports generated by the system support outcome-focused programmatic reporting with additional synthesis at the flagship and cross-cutting levels. |
| format | Informe técnico |
| id | CGSpace118154 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Accelerating Impacts of CGIAR Climate Research for Africa |
| publisherStr | Accelerating Impacts of CGIAR Climate Research for Africa |
| record_format | dspace |
| spelling | CGSpace1181542026-01-05T15:19:21Z Knowledge and Data Sharing - Annual Technical Report 2021 Tobon, Hector Almanzar, Manuel Ramírez, Margarita M. Tanaka, Kenji agriculture decision making research and development The main purpose of this team effort is to help the AICCRA Project to support evidencebased decision-making by ensuring that the research data, which is essential for the integrity, quality, and value of research, is appropriately managed at the cluster level. It also strengthens the culture of results-based project monitoring and evaluation (M&E) by ensuring the reporting of high-quality information products. Additionally, we support establishing data sharing and management processes from legal agreements through research operations and reporting. This “conveyor belt” process is applied to AICCRA through the MIS reporting system called Managing Agricultural Research for Learning and Outcomes (MARLO). MARLO is an online platform assisting the AICCRA project in its strategic results-based program planning and reporting of research clusters. It covers the cluster cycle from planning to reporting and learning. Reports generated by the system support outcome-focused programmatic reporting with additional synthesis at the flagship and cross-cutting levels. 2021-12-22 2022-02-17T19:04:47Z 2022-02-17T19:04:47Z Report https://hdl.handle.net/10568/118154 en Open Access application/pdf Accelerating Impacts of CGIAR Climate Research for Africa Tobon H, Almanzar M, Ramirez MM, Tanaka K. 2021. Knowledge and Data Sharing - Annual Technical Report 2021. Accelerating the Impacts of CGIAR Climate Research for Africa (AICCRA). |
| spellingShingle | agriculture decision making research and development Tobon, Hector Almanzar, Manuel Ramírez, Margarita M. Tanaka, Kenji Knowledge and Data Sharing - Annual Technical Report 2021 |
| title | Knowledge and Data Sharing - Annual Technical Report 2021 |
| title_full | Knowledge and Data Sharing - Annual Technical Report 2021 |
| title_fullStr | Knowledge and Data Sharing - Annual Technical Report 2021 |
| title_full_unstemmed | Knowledge and Data Sharing - Annual Technical Report 2021 |
| title_short | Knowledge and Data Sharing - Annual Technical Report 2021 |
| title_sort | knowledge and data sharing annual technical report 2021 |
| topic | agriculture decision making research and development |
| url | https://hdl.handle.net/10568/118154 |
| work_keys_str_mv | AT tobonhector knowledgeanddatasharingannualtechnicalreport2021 AT almanzarmanuel knowledgeanddatasharingannualtechnicalreport2021 AT ramirezmargaritam knowledgeanddatasharingannualtechnicalreport2021 AT tanakakenji knowledgeanddatasharingannualtechnicalreport2021 |