Making Qualitative Data Open Access: Guidance document for making qualitative data FAIR - Findable, Accessible, Interoperable, and Reusable - using the GENNOVATE case study
The effective management and sharing of qualitative data are critical to advancing research, fostering collaboration, and driving impact, especially in the context of addressing complex gender and social dynamics in agrifood systems in Low- and Middle-Income Countries (LMICs). This document outlines...
| Autores principales: | , , |
|---|---|
| Formato: | Informe técnico |
| Lenguaje: | Inglés |
| Publicado: |
International Livestock Research Institute
2024
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/168114 |
Ejemplares similares: Making Qualitative Data Open Access: Guidance document for making qualitative data FAIR - Findable, Accessible, Interoperable, and Reusable - using the GENNOVATE case study
- DataScribe—Enabling collection of Findable, Accessible, Interoperable, Reusable survey data
- Open access to ILRI's data
- Making ILRI data open
- ILRI KM Architecture: Use of open access and FAIR principles to make knowledge travel
- CGIAR Open Access and Data Management Policy
- ICT Update 72: Opening access and open data