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Persistent identifiers (PIDs) play an important role in scientific data management, especially in data publication and citation to support the findability and accessibility of scientific data. Data organizations and institutions in China are increasingly aware of PIDs as required for implementation of the FAIR principles, and as a result, many good practices have been developed. It is worth noting that China has also established a persistent identifier, namely the China Science & Technology Resource identifier (CSTR). In my session I will share a typical case of National Space Science Data Center (NSSDC) embedding four types of PIDs into its workflows, exemplifying the application of PIDs in scientific data management in China. In these four types, I will emphasize the case of CSTR.
China Science & Technology Resource identifier, Persistent identifiers, China Science & Technology Resource identifier
China Science & Technology Resource identifier, Persistent identifiers, China Science & Technology Resource identifier
| 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 |
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| downloads | 15 |

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