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Data and Digital Outputs Management Plan Template 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 Plan should elaborate
Home - Belmont Forum The Belmont Forum is an international partnership that mobilizes funding of environmental change research and accelerates its delivery to remove critical barriers to sustainability
Data Management Annex (Version 1. 4) - Belmont Forum 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 collection, analysis, validation and
Data Publishing Policy Workshop Report (Draft) 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
PowerPoint-Präsentation - Belmont Forum 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):
Causal inference and complex network methods for the geosciences 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”
Data Skills Curricula Framework programming, environmental data, visualisation, management, interdisciplinary data software development, object orientated, data science, data organisation DMPs and repositories, team skills and development