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Better Together: Facilitating FAIR Research Output Sharing (APAC time zones)

Authors: Rittman, Martyn; Chen, Xiaoli; Cheng, Chieh-Chih Estelle; Jiang, Lulu; Liu, Jia;

Better Together: Facilitating FAIR Research Output Sharing (APAC time zones)

Abstract

Unique and persistent identifiers for researchers, institutes, and different types of research outputs, alongside comprehensive metadata, facilitates Findable, Accessible, Interoperable, and Reusable (FAIR) research. In the second webinar of the Better Together series hosted by Crossref, DataCite, and ORCID, we welcomed a guest co-organizer CSTR (Common Science and Technology Resource Identifier) to jointly present a session focused on the sharing of scholarly resources, leveraging both the global and local identifier infrastructure and services. We go into detail about how repositories can leverage open scholarly infrastructure to help researchers share more, cite more, and generate impact. Part of this webinar focuses on some use cases in the Mandarin-speaking community. However, the presentation is be conducted in English with slides in both English and Mandarin. In this webinar we covered the following topics: Who we are Besides papers, what other resources can be shared? What’s the difference between “sharing” and “publishing”? How our organizations work together to make different types of scholarly resources Findable, Accessible, Interoperable and Reusable Science Data Bank and how it integrates with identifiers in their workflow This webinar took place on 19 September 2022 at 6am UTC/ 14:00 Beijing. This webinar lasts 90 minutes including time for Q&A. 研究者、科研机构、和科研成果都能利用独特永久识别符(PID)及其背后丰富详尽的元 数据,实现可查询、可获取、可互操作、可复用的FAIR科研数据原则。此次Crossref, DataCite, ORCID和通用科技资源标识符CSTR合办的线上宣讲会,将着重讨论机构存 储库利用国际国内开放标识符基础设施,帮助研究者分享、引用不同类型研究成果,产生 影响力。 本次宣讲会以英文进行,幻灯片内容将以中英双语呈现。 时间 2022年9月19日 06:00 上午 世界标准时间UTC

Keywords

Open, Crossref, CSTR, Better Together, Scholarly infrastructure, FAIR, Datacite, ORCID

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selected citations
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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).
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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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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