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This presentation was given for OpenAIRE Tech Clinic webinar on 21 June 2021, focusing on the OpenOrgs tool. Unambiguously identifying organizations involved in the research work may not be a trivial task. Their names can be derived from various data sources, each of which often contains a different version of the organization's name (full legal name, short or alternative names, acronym, and so on) and different metadata fields. In OpenOrgs, data curators can enrich the metadata description of organizations and resolve the ambiguity of duplicates detected with an automated process by stating whether two or more entities correspond or not to the same organization. With these tasks, OpenOrgs users can compensate for the lack of information available and improve the organizations' discoverability.
Scholarly communication, Open Science, Disambiguation, Open Science, OpenOrgs, OpenAIRE, discoverability, disambiguation,
Scholarly communication, Open Science, Disambiguation, Open Science, OpenOrgs, OpenAIRE, discoverability, disambiguation,
| 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). | 1 | |
| 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 | 18 |

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