Why Data Management Plans (DMPs) are required. The Belmont Forum and BiodivERsA support 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 and BiodivERsA emphasize open sharing of research data to stimulate new approaches to the collection, analysis ...

Understanding the Context

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 ... 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 ...

Key Insights

Several actions related to the data lifecycle, such as data discovery, do require an understanding of the data, technology, and information infrastructures that may result from information science education. A full Data and Digital Outputs Management Plan (DDOMP) 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. Understandable the sharing of data international should be and infrastructures thu s, requires with preference that facilitate contextual allows researchers—including non-proprietary international indicators; provision and plans for all for information use and interpretation languages. metadata, of including community in provenance, outside the discipline addition, data standards uncertainty ...