A full Data and Digital Outputs Management Plan for an awarded Belmont Forum project is a living, actively updated document that describes the data management life cycle for the data and other digital outputs to be collected, reused, processed, and/or generated. As part of making research data open by default, findable, accessible, interoperable, and reusable (FAIR), the …

programming, environmental data, visualisation, management, interdisciplinary data software development, object orientated, data science, data organisation DMPs and repositories, team skills and development

The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical barriers to sustainability.

Why the Belmont Forum requires Data Management Plans (DMPs) The Belmont Forum supports international transdisciplinary research with the goal of providing knowledge for understanding, mitigating and adapting to global environmental change. To meet this challenge, the Belmont Forum emphasizes open sharing of research data to stimulate new approaches to the …

Visit the post for more.Project Profile: ARCA Biocultural Heritage in Arctic Cities: Resource for Climate Adaptation?

This combines data collected by the TRMM satellite with infrared (IR) images from a selection of geostationary satellites to produce a continuous, three-hourly, 0.25 resolution product between 50 N and 50 S. The advantages of 3B42 over a gauge-based product are temporal resolution and coverage over the oceans.

If EOF-1 dominates the data set (high fraction of explained variance): approximate relationship between degree field and modulus of EOF-1 (Donges et al., Climate Dynamics, 2015):

Dec 20, 2017 · The Belmont Forum endorsed a Data Skills Curricula Framework to enhance information management skills for data-intensive science at its annual Plenary Meeting held in November. The Framework was de…

File: BelmontForumDataPublishingPolicyWorkshopDraftReport.pdf Using evidence derived from a workshop convened in June 2017, this report provides the Belmont Forum Principals a set of recommendations and accompanying actions for: Delivering the Belmont Forum Open Data Policy Supporting the sharing and re-use of research data generated by Belmont ...

Faithfulness / Stableness: “Independencies in data arise not from incredible coincidence, but rather from causal structure”; violated by purely deterministic dependencies Causal Markov Condition: “All the relevant probabilistic information that can be obtained from the system is contained in its direct causes”