Going digital: Persistent identifiers for research samples, resources and instruments
Data Science Journal, ISSN: 1683-1470, Vol: 19, Issue: 1, Page: 1-8
2020
- 10Citations
- 17Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
The uptake of Persistent Identifiers (PIDs) has increased in recent years and has improved the Findability, Accessibility, Interoperability and Reusability (FAIR) of various research related objects (e.g., data, software, researchers and research organisations). The uptake of PIDs for physical aspects of research (such as samples, artefacts, reagents and analyses instruments) has thus far been embraced primarily for use in the fields of Earth and life Sciences. Wider adoption of PIDs for physical aspects of research can improve the findability and accessibility of these resources, which will allow for data to be put into more detailed context. By using PIDs all the information about a sample or artefact could be more easily available in a single location, allowing for persistent links to other sources of relevant information. Through the use of interoperable (metadata) standards and shared forms of documentation it will be easier to collaborate across multiple disciplines and the reusability of resulting data and the physical samples and artefacts themselves will improve. Wider adoption of PIDs for physical aspects of research is challenging, as research communities will have to work together to establish relevant standards that are meaningful across multiple domains. The infrastructure for wider adoption already exists, it is now up to research communities to adopt standards and PIDs for the physical aspects of their research and up to funding and research institutes to support this broader adoption.
Bibliographic Details
Ubiquity Press, Ltd.
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