Filter Results
7865 results
An assessment of the vitamin A maize seed delivery efforts to date: Agro-dealer sales and farmer production in Zambia
Data Types:
  • Other
Grow more soybean: produce 1 tonne of soybean from an acre
Data Types:
  • Other
Presentation of the ELIXIR Rare Diseases Community as presented at the ELIXIR All Hands meeting 2019 in Lisbon, Portugal.
Data Types:
  • Other
Initiatives aimed at strengthening health research capacity in low and middle-income countries are commonly implemented by consortia. These consortia are increasingly reporting on their programme activities and outputs, but rarely on their management practices. Though investments in such consortia are increasing, there is little evidence in the available literature to guide how they are managed. We thus explored the key management processes adopted by health research capacity strengthening (HRCS) consortia, factors that influence these processes, and their experiences within the DELTAS Africa Programme. We interviewed 23 selected participants: nine consortium directors, ten consortium managers and four funding actors. The consortia had similarities and differences in management processes and practices. Similarities across consortia included factors motivating their establishment and the governing structures used. Differences were observed in decisions related to partner selection, resource sharing and financial management. Consortium leaders often had to tackle diverging alternatives in deciding on appropriate management strategies for their consortia. Understanding the consideration processes and their implications for capacity strengthening can provide guidance for the design and management of HRCS consortia.
Data Types:
  • Other
Unpacking the Sources of Income Growth in Sub-Saharan Africa
Data Types:
  • Other
Agricultural R&D indicators factsheet--Mali
Data Types:
  • Other
Abstract for poster and talk to presented 25 July 2019 at ISMB/ECCB 2019 as part of the Education COSI: Background: As the life sciences have become more computational and data intensive, the pressure to incorporate the requisite training into life-science education and training programs has increased. To facilitate curriculum development, various sets of bioinformatics competencies have been articulated; however, these have proved difficult to implement in practice. Addressing this issue, we have created a curriculum design and evaluation tool – the Mastery Rubric for Bioinformatics (MR-Bi) - to support the development of specific Knowledge, Skills and Abilities (KSAs) that promote bioinformatics practice and the achievement of competencies. Methods: 12 KSAs were extracted, and stages along a developmental trajectory were identified. The KSAs and their performance level descriptors at each stage were formulated, ultimately yielding the MR-Bi. Results and Conclusions: The MR-Bi prioritizes the development of independence and scientific reasoning. It can be used by practicing scientists at all career stages to direct their (and their team’s) acquisition of new, or to deepen existing, bioinformatics KSAs. It can be used to strengthen teaching and learning and for curriculum building. It can thereby contribute to the cultivation of a next generation of bioinformaticians who can design reproducible and rigorous research, and to critically analyze results from their own, and others’, work.
Data Types:
  • Other
Analysis of price incentives for coffee in Ethiopia for the time period 2005-2012
Data Types:
  • Other
Agricultural R&D indicators factsheet--Kenya
Data Types:
  • Other
Through collaboration of a diverse group of institutions and organizations worldwide, the Global Alliance for Genomics and Health (GA4GH) creates frameworks and standards to enable the responsible, voluntary, and secure sharing of genomic and health-related data. This poster presents a snapshot of the approved GA4GH standards from July 2019. It includes the industry standards for read representation (CRAM), variant representation (VCF), a streaming API for receiving these standards (htsget), Cloud based processing standards (Workflow Execution Service), the Data Use Ontology for semantically tagging datasets with restrictions on usage, Beacon API for discovering variant data, and the refget API for retrieving the exact reference sequence required, removing naming ambiguities. These form part of a growing suite of standards from GA4GH, which enable FAIR principles to be applied to datasets.
Data Types:
  • Other