A5053379004- Semantic Web and Ontologies
- Research Data Management Practices
- Evaluation and Performance Assessment
- Agricultural Innovations and Practices
- Conservation, Biodiversity, and Resource Management
- Agricultural risk and resilience
- Biomedical Text Mining and Ontologies
- Distributed and Parallel Computing Systems
- Agriculture and Rural Development Research
- Rice Cultivation and Yield Improvement
- Land Use and Ecosystem Services
- Scientific Computing and Data Management
- Data Quality and Management
- Big Data and Business Intelligence
- Public Administration in Developing Nations
- Greenhouse Technology and Climate Control
- Delphi Technique in Research
- Economic Sanctions and International Relations
- Environmental and Social Impact Assessments
- Community Development and Social Impact
- Food Industry and Aquatic Biology
- Methane Hydrates and Related Phenomena
- Sustainability and Climate Change Governance
- Coffee research and impacts
- Agroforestry and silvopastoral systems
International Potato Center
2024
International Center for Agricultural Research in the Dry Areas
2020
Interstate Commission for Water Coordination of Central Asia
2020
Heterogeneous and multidisciplinary data generated by research on sustainable global agriculture agrifood systems requires quality labeling or annotation in order to be interoperable. As recommended the FAIR principles, data, labels, metadata must use controlled vocabularies ontologies that are popular knowledge domain commonly used community. Despite existence of robust Life Sciences, there is currently no comprehensive full set for across agricultural disciplines. In this paper, we discuss...
Global food systems are confronted with multifaceted challenges, including climate change, malnutrition, and biodiversity loss, disproportionately affecting the livelihoods of millions, particularly in low- middle-income countries. Recognizing its potential to address these innovation is increasingly central public sector organizations. However, despite growing emphasis, adoption portfolio management approaches remains limited. Drawing on a case study CGIAR, global research partnership...
Abstract Land use planning (LUP) to achieve Degradation Neutrality (LDN) needs methods and tools that support the identification of best LUP solutions in terms transitions from current degradative land (LU) management (LM) practices better LU LM options. A crucial need is context specific sustainable (SLM) Addressing this must aim at not only reversing/recovering past degradation (e.g., via restoration or rehabilitation hotspots), but also avoiding “new” possibly caused by unsuitable LM....
Increasing tree cover in agricultural lands can contribute to achieving global and national restoration goals, more so the drylands where trees play a key role enhancing both ecosystem livelihood resilience of communities that depend on them. Despite this, are characterized by low survival especially for species preferred local communities. We conducted study arid semi-arid areas Kenya Ethiopia with 1773 households assess how different planting management practices influence seedling...
Theory of Change (ToC) is widely used as a tool to support strategic planning, monitoring, and evaluation in many fields, especially for social environmental programs. However, there still limited documented experience with the application use ToC research context. CGIAR, global network 15 centers conducting international research-for-development, included standardized approach recent round developing 32 large Initiatives. This unique offers an ideal opportunity learn from organization-scale...
Data analysis and modeling is a complex demanding task. While variety of software tools exist to cope with this problem tame big data operations, most these are either not free, when they are, require large amount configuration steep learning curve. Moreover, provide limited functionalities. In paper we propose Polly, an online open-source tool that intuitive use can be used minimal or no configuration. Users Polly rapidly integrate, analyze their data, prototype test novel methodologies....
Heterogeneous and multidisciplinary data generated by research on sustainable global agriculture agrifood systems requires quality labelling to be interoperable. As recommended the FAIR principles, data, labels metadata must use controlled vocabularies ontologies that are popular in knowledge domain commonly used community. Despite existence of robust Life Sciences, there is currently no agreed full set for annotation across agricultural disciplines, which may span genetics, environment,...
Scientists largely acknowledge the value of research data management (RDM) to enable reproducibility and reuse. But, RDM practices are not sufficiently rewarded within traditional academic reputation economy. Recent work showed that emerging tools can offer new incentives rewards. design such platforms scientists' commitment is contingent on additional factors, including policies, training, several types personal motivation. To date, studies focused investigating single or few those...
Understanding which trees farmers prefer, what determines their survival and enhancing farmer knowledge of tree management is key to increasing cover in agricultural landscapes. This article presents data on seedling under different planting practices Kenya Ethiopia. Data were collected from 1600 households across three Counties 173 four Woredas Ethiopia, using a structured questionnaire was administered through the Open Kit. at least six months after seedlings planted. To understand how...
The impact of research toward the achievement Sustainable Development Goals (SDGs or Outcomes) relies on many aspects its development framework, which makes optimisation data flow in for (R4D) programs and institutions a fundamental objective. In 2015, as response to lack shared monitoring evaluation system CGIAR Research Programs (CRPs), Dryland Systems met needs participating by developing online platform Monitoring, Evaluation & Learning (MEL). MEL is an interoperable multi-program,...