A5020140661- Research Data Management Practices
- COVID-19 diagnosis using AI
- Scientific Computing and Data Management
- Species Distribution and Climate Change
- Library Science and Information Systems
- Chronic Disease Management Strategies
- Artificial Intelligence in Healthcare and Education
- Ethics in Clinical Research
- Artificial Intelligence in Healthcare
- Aging, Health, and Disability
- Wireless Body Area Networks
Computational Sensors (United States)
2022
Royal Irish Academy
2020-2021
Massachusetts Institute of Technology
2021
<ns4:p>The systemic challenges of the COVID-19 pandemic require cross-disciplinary collaboration in a global and timely fashion. Such needs open research practices sharing outputs, such as data code, thereby facilitating reproducibility beyond borders. The Research Data Alliance Working Group recently published set recommendations guidelines on related best for research. These include clinicians, researchers, policy- decision-makers, funders, publishers, public health experts, disaster...
The systemic challenges of the COVID-19 pandemic require cross-disciplinary collaboration in a global and timely fashion. Such needs open research practices sharing outputs, such as data code, thereby facilitating reproducibility beyond borders. Research Data Alliance Working Group recently published set recommendations guidelines on related best for research. These include researchers, policymakers, funders, publishers infrastructure providers from perspective different domains (Clinical...
Background: The coronavirus disease 2019 (COVID-19) global pandemic required a rapid and effective response. This included ethical legally appropriate sharing of data. European Commission (EC) called upon the Research Data Alliance (RDA) to recruit experts worldwide quickly develop recommendations guidelines for COVID-related data sharing. Purpose: purpose present work was explore how RDA succeeded in engaging participation its community scientists response EC request. Methods: A survey...
The BioDT project, funded by the European Union Horizon Europe Programme, seeks to investigate and push boundaries of methodological, intellectual, data, technical relevance aspects digital twin (DT) approach for understanding predicting biodiversity patterns processes. In this special issue, we present reasoning goals project overall advancements made towards development ten prototype Digital Twins (pDTs). Based on models ecosystems, species biological processes, twins integrate diverse...