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Researchers often face the same stumbling blocks. To support them, we have developed a RDM Decisional Tree starting from the fundamental bricks of the data lifecycle and posing a series of questions to help researchers navigate: 1) the domain specific nature and origin of the data they are handling; 2) Privacy/Ethics requirements (e.g. GDPR); 3) Intellectual Property Rights; 4) active data storage; 5) long-term deposit and preservation. This diagram has been created by the team of data steward at the University of Bologna (UNIBO, Alma Mater Studiorum - Università di Bologna) in October 2022. It has been developed in parallel to the Research Data Management: Data Lifecycle, available here: 10.5281/zenodo.7249050
Ethics, Privacy, Research Data Management, Storage, Intellectual Property, Preservation, FAIR
Ethics, Privacy, Research Data Management, Storage, Intellectual Property, Preservation, FAIR
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 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
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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