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The ORCID (/ˈɔːrkɪd/ ⓘ; Open Researcher and Contributor ID) is a nonproprietary persistent identifier, in the form of an alphanumeric code, to uniquely identify authors and contributors of scholarly communication.
The analysis highlights Applications and Members as prominent areas in the source structure around ORCID.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around ORCID shows recurring relationship patterns in the source. For example, ORCID → America, April, August, Australian Access Federation, Chris Shillum, Delaware, ED, From, Heath Marks, ID, Inc, Initiative, Its, Laurel Haak, October, On, Open Researcher Contributor Identification, PLOS, ResearcherID, September Another extracted example is ORCID → ANVUR, ARC, Australian Research Council, Cineca, Conference, CRUI, Education, Evaluation, For, HAL, In, In Australia, Italian University Rectors, Italy, Medical Research Council, Ministry, National Agency, National Health, NHMRC, ORCID ID. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
id identifiers name identifier also use organization open website announced publishers research names systems services org persistent national example researcher
TTTA extracted 107 structured relationships around ORCID. Examples in this analysis include ORCID → Check digit → MOD 11-2 and ORCID → Example → https://orcid.org/0000-0002-1825-0097 ("Josiah S. Carberry"). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| ORCID | Check digit | MOD 11-2 | 1.00 | infobox |
| ORCID | Example | https://orcid.org/0000-0002-1825-0097 ("Josiah S. Carberry") | 1.00 | infobox |
| ORCID | Full name | Open Researcher and Contributor ID | 1.00 | infobox |
| ORCID | Introduced | 16 October 2012 (13 years ago) (2012-10-16) | 1.00 | infobox |
| ORCID | No. issued | 14,727,479 | 1.00 | infobox |
| ORCID | No. of digits | 16 | 1.00 | infobox |
| ORCID | Organization | ORCID, Inc. | 1.00 | infobox |
| ORCID | Website | orcid.org | 1.00 | infobox |
| Caltech | instance of | The organizational members include many research institutions | 0.80 | text |
| Cornell University | instance of | The organizational members include many research institutions | 0.80 | text |
| and publishers such as Elsevier | instance of | The organizational members include many research institutions | 0.80 | text |
| Springer | instance of | The organizational members include many research institutions | 0.80 | text |
The concept neighborhoods around ORCID bring nearby vocabulary together. In this analysis, examples include Id, Announced and Also. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For ORCID, one of the stronger structural bridges in this analysis connects ORCID with Members, sponsors and registrants. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around ORCID to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Applications & Members, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — ORCID · EN edition · Analysis: TopicsToTalkAbout