Data collection smart and simple: Evaluation and metanalysis of call data from studies applying the 5Q approach
Agricultural development projects often struggle to show impact because they lack agile and cost-effective data collection tools and approaches. Due to the lack of real-time feedback data, they are not responsive to emerging opportunities during project implementation and often miss the needs of ben...
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
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Frontiers Media
2021
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| Acceso en línea: | https://hdl.handle.net/10568/116199 |
| _version_ | 1855513129227649024 |
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| author | Eitzinger, Anton |
| author_browse | Eitzinger, Anton |
| author_facet | Eitzinger, Anton |
| author_sort | Eitzinger, Anton |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Agricultural development projects often struggle to show impact because they lack agile and cost-effective data collection tools and approaches. Due to the lack of real-time feedback data, they are not responsive to emerging opportunities during project implementation and often miss the needs of beneficiaries. This study evaluates the application of the 5Q approach (5Q). It shows findings from analyzing more than 37,000 call log records from studies among five countries. |
| format | Journal Article |
| id | CGSpace116199 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | Frontiers Media |
| publisherStr | Frontiers Media |
| record_format | dspace |
| spelling | CGSpace1161992025-11-11T17:38:42Z Data collection smart and simple: Evaluation and metanalysis of call data from studies applying the 5Q approach Eitzinger, Anton digital technology new technology data collection development projects cost benefit analysis tecnología digital tecnología nueva colección de datos proyectos de desarrollo horticulture ecology food science Agricultural development projects often struggle to show impact because they lack agile and cost-effective data collection tools and approaches. Due to the lack of real-time feedback data, they are not responsive to emerging opportunities during project implementation and often miss the needs of beneficiaries. This study evaluates the application of the 5Q approach (5Q). It shows findings from analyzing more than 37,000 call log records from studies among five countries. 2021-11-16 2021-11-23T11:13:07Z 2021-11-23T11:13:07Z Journal Article https://hdl.handle.net/10568/116199 en https://hdl.handle.net/10568/114555 Open Access application/pdf Frontiers Media Eitzinger, A. (2021) Data collection smart and simple: Evaluation and metanalysis of call data from studies applying the 5Q approach. Frontiers in Sustainable Food Systems 5: 727058 12 p. ISSN: 2571-581X |
| spellingShingle | digital technology new technology data collection development projects cost benefit analysis tecnología digital tecnología nueva colección de datos proyectos de desarrollo horticulture ecology food science Eitzinger, Anton Data collection smart and simple: Evaluation and metanalysis of call data from studies applying the 5Q approach |
| title | Data collection smart and simple: Evaluation and metanalysis of call data from studies applying the 5Q approach |
| title_full | Data collection smart and simple: Evaluation and metanalysis of call data from studies applying the 5Q approach |
| title_fullStr | Data collection smart and simple: Evaluation and metanalysis of call data from studies applying the 5Q approach |
| title_full_unstemmed | Data collection smart and simple: Evaluation and metanalysis of call data from studies applying the 5Q approach |
| title_short | Data collection smart and simple: Evaluation and metanalysis of call data from studies applying the 5Q approach |
| title_sort | data collection smart and simple evaluation and metanalysis of call data from studies applying the 5q approach |
| topic | digital technology new technology data collection development projects cost benefit analysis tecnología digital tecnología nueva colección de datos proyectos de desarrollo horticulture ecology food science |
| url | https://hdl.handle.net/10568/116199 |
| work_keys_str_mv | AT eitzingeranton datacollectionsmartandsimpleevaluationandmetanalysisofcalldatafromstudiesapplyingthe5qapproach |