Downloads provided by UsageCounts
Research projects are usually composed of three or more smaller but highly complex project units that run in parallel generating multiple sets of data. Making these data available upon publication according to the four foundational principles – Findability, Accessibility, Interoperability, and Reusability (FAIR principles) is a standard requirement and established part of there research workflow. This course gives an introduction to Research Data Management (RDM), the contextualisation of datasets by adding relevant metadata, theory and practical application of FAIR and CARE (people & purpose) principles as well as an overview of appropriate research data repositories along with legal and ethical aspects to take into consideration in the process. This presentation was held for the EU project consortium 'Disc4All'
CARE principles, FAIR principles, Research Data Management
CARE principles, FAIR principles, Research Data Management
| selected citations These citations are derived from selected sources. 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 |
| views | 5 | |
| downloads | 3 |

Views provided by UsageCounts
Downloads provided by UsageCounts