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- Open Data Policy and Principles - Belmont Forum
The data policy includes the following principles: Data should be: Discoverable through catalogues and search engines; Accessible as open data by default, and made available with minimum time delay; Understandable in a way that allows researchers—including those outside the discipline of origin—to use them
- Belmont Forum Adopts Open Data Principles for Environmental Change Research
Adoption of the open data policy and principles is one of five recommendations in A Place to Stand: e-Infrastructures and Data Management for Global Change Research, released in June, 2015 “A Place to Stand” is the result of the Belmont Forum’s two-year scoping phase to develop a funding mechanism for global e-Infrastructure and Data
- Data and Digital Outputs Management Plan Template - Belmont Forum
Data and Digital Outputs Management Plan to ensure ethical approaches and compliance with the Belmont Forum Open Data Policy and Principles , as well as the F AIR Data Principles (Findable, Accessible, Interoperable, and Reusable) The Belmont Forum is in the process of gradually integrating its Open Data Policy and Principles into the
- Waterproofing Data: Engaging Stakeholders in Sustainable Flood Risk . . .
Waterproofing Data investigates the governance of water-related risks, with a focus on social and cultural aspects of data practices Typically, data flows up from local levels to scientific "centres of expertise", and then flood-related alerts and interventions flow back down through local governments and into communities
- Climate-Induced Migration in Africa and Beyond: Big Data and Predictive . . .
CLIMB will also leverage earth observation and social media data, and combine them with survey and official statistical data This holistic approach will allow us to analyze migration process from a multi-stage perspective (e g from internal displacement to onward return migration), and gain more insights about the temporality of climate
- Advancing Resilience in Low Income Housing Using Climate-Change Science . . .
Environmental sustainability and public health considerations will be included Machine Learning and Big Data Analytics will be used to identify optimal disaster resilient-housing urban design and planning policy packages considering projected climate change-related extreme weather scenarios between the current time and 2050
- Data Accessibility Statement (DAS) - Belmont Forum
Download: Data_Accessibility_Statement pdf Description: The Data Accessibility Statement (DAS) links scientific publishing to the research data produced by the project The DAS is included as part of a journal article and articulates which data underlie a paper, where the data are available and under what conditions they can be accessed
- Mosquitoes populations modelling for early warning system and rapid . . .
This technology will include the use of mobile surveillance apps using gamification and citizen science technology co-developed with local stakeholders for reporting locations of water breeding points in Brazil We will develop a data-driven early warning system to predict changes in occurrence and abundance of mosquito breeding points
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