Biodiversity Information Science and Standards : Conference Abstract
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Corresponding author: Prosper Karame (karapros@gmail.com)
Received: 21 Aug 2019 | Published: 17 Sep 2019
© 2019 Prosper Karame, Faustin Gashakamba, Valentine Dushimiyimana, Ladislas Nshimiyimana, Pacifique Ndishimye
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation: Karame P, Gashakamba F, Dushimiyimana V, Nshimiyimana L, Ndishimye P (2019) Bioscience Data Literacy At The Interface Of The Environment, Human And Wildlife: One Health-centred education, research and practice perspectives in Rwanda. Biodiversity Information Science and Standards 3: e39312. https://doi.org/10.3897/biss.3.39312
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Advances in information technology have led to the availability of state-of-the-art technologies which in turn have been enabling the generation of unprecedented amounts of complex, structured or unstructured data sets that are sometimes difficult to process using conventional techniques. In particular, handling these large scale data in terms of collection, and aggregation, synthesis and analysis, interpretation, reporting, sharing and archiving processes, and interpreting them into descriptive models and enable effective interpretation requires continued development of robust computational models, algorithms and interoperable analytical frameworks (
Learning from global initiatives, Rwanda’s journey targets the effective use of technology-supported systems and data science expertise to effectively drive management and decision making needs in environmental management, health research systems and biodiversity conservation planning (
This paper aims to explore the perspectives of solving challenges in handling heterogeneous data and sources of uncertainty, the progress and feasibility of adopting (or developing, adapting and customizing) open code- and data-sharing platforms, and integrating the application of flexible statistical models and cloud-computing, all within the confines of limited resources. Africa needs to engage in data science to build and sustain capacity and to effectively use acquired knowledge and skills. Further, Africa can strategically align and tailor existing technology data science platforms to the unique context of this continent. It is time to assess the boundaries, explore new horizons, and reach beyond the limits of current practice in order to enable researchers to get the most from generated data. We envision a long-term integrative and digital approach to handling and processing health, environment, and wildlife data to mark the beginning of our journey forward.
bioscience, data-literacy, one-health, environment, health, wildlife management
Prosper Karame
Biodiversity_Next 2019
Rwanda Biomedical Center, JRS Biodiversity Foundation, TDWG, IDEA WILD, ARCOS
one-health policy implementation program
Rwanda Biomedical Center - Medical Research Center and Epidemic Surveillance and Response Divisions
The initiative complies to ICH GCP Ethical Guidelines and Ethical Guidelines for the Use of Animals in Research
The authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.
The authors declare no commercial or financial relationships that could be construed as a potential conflict of interest.