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With an increasing call for FAIR data, metadata, and it's quality, plays an ever increasing role. Nevertheless, providing metadata is not easily accomplished. One of the reasons for this is the cumbersome way of entering metadata in formats or webforms needed by repositories. Also, there is little or no quality control. Finally, the metadata schemes used by the repositories are either restricted to bibliometric metadata (e.g. DataCite) or are using metadata schemes which have to cover a vast diversity of different data (e.g. EML or Darwin Core). I will present an approach which uses domain specific metadata schemes to overcome these problems, by developing these schemes together with scientists of their domain. It can be employed without detailed technical knowledge, e.g. using spreadsheets and a web browser. This will help researchers recognise the value of metadata for their own research and sharing. The provided validation tool increases quality of metadata.
data management, metadata scheme
data management, metadata scheme
| 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 | 8 | |
| downloads | 4 |

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Downloads provided by UsageCounts