|
1000
|
Abstract/Summary
|
-
Metadata form an important part of the research communication ecosystem - allowing discovery, linking and integration of data on research process and outputs, research evaluation and metaresearch. It can be argued that publications, data and other research objects can only be FAIR when their metadata are open, and while there are many organizations working on providing open metadata, a number of challenges remain. These include licensing issues, the existence of siloed collections of metadata and the continued commercial enclosure of certain types of metadata. There is also growing awareness of the need for transparency, provenance and community governance in open metadata collection and provision. Finally, there are questions around the pros and cons of centralization vs. distributed systems, and the role of community curation vs. authoritative sources of metadata. This presentation will discuss these aspects, highlight a number of current initiatives towards open metadata, and discuss where these can strengthen each other and which gaps and biases in the open metadata landscape remain to be addressed. One of the major challenges in data-driven research is facilitating knowledge discovery by assisting humans and machines in their discovery of, access to, and integration and analysis of data and their associated research objects, e.g., algorithms, software, and workflows. Both publications, which remain the most common means to disseminate research results, and data are recognized as important elements of research. Data is used as input or created, then analyzed, integrated, and transformed to become an output, contributing to obtaining new insights and therefore advancing science.
|
