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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
Belmont Forum Data Policy and Principles The Belmont Forum recognizes that significant advances in open access to data have been achieved and implementation of this policy and these principles requires support by a highly skilled workforce The Belmont Forum recommends a broad-based training and education curriculum as an integral part of research programs and encourages researchers to be aware of, and plan for, the costs of data
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
Belmont Forum Awardees advance Ecological Sustainability The recent EcoSummit Meeting in Montpellier, France, highlighted the advances of several Belmont Forum projects Investigators shared their results and experiences conducting multi-national, inter- and trandisciplinary research during special sessions at this 5th Congress
Data Skills Curricula Framework: Full Recommendations Report Download: Outline_Data_Skills_Curricula_Framework pdf Description: The recommended core modules are designed to enhance skills of domain scientists specifically to make data handling more efficient, research more reproducible and data more shareable – including visualisations for end-users
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