
Metadata 2020: a cross-community collaboration that advocates richer, connected, reusable, and open metadata for all research outputs to advance scholarly pursuits for the benefit of society. A group of volunteers working together trying to encourage and facilitate progress towards this challenging goal. Management guru Peter Druker famously said “If you can’t measure it, you can’t improve it”. With that in mind, several Metadata 2020 projects examined approaches to metadata evaluation and connections between evaluation and guidance. Accomplishing this progress across the broad expanse of the Metadata 2020 landscape requires connecting metadata dialects and community recommendations and analysis of multiple metadata corpora. This paper describes one framework for approaching that task and some potential examples.
metadata evaluation, dialects, metadata2020, community recommendations
metadata evaluation, dialects, metadata2020, community recommendations
| 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 |
