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Introduction to RDM primarily for researchers. Can be seen as primer to all other materials in this catalogue. This presentation was delivered virtually for Universidad Nacional Costa Rica on 7th Dec 2020 as part of a Foundational Data Stewardship Workshop. It is primarily aimed at data stewards but can also be useful to researchers and RDM service providers and should be viewed in conjunction with these two other presentations that were part of the same workshop: DOI:10.5281/zenodo.4665390 (Open and Responsible Research: Roles and Responsibilities for Data Stewards) DOI:10.5281/zenodo.4561728 (Developing and Implementing a Research Data Policy) Learning outcomes of this presentation: Be familiar with the curation lifecycle. Understand the standardisation methods and principles available to add value to your data. Learn about resources to aid your workflows. Increase/encourage your level of openness. Learn about data management plans and the value in implementing them. Understand how data stewards integrate this knowledge
FAIR principles, open science, research data management, open research, data management plans
FAIR principles, open science, research data management, open research, data management plans
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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