Hello everyone, and welcome to this tutorial series on OpenOrgs, a service developed by OpenAIRE aimed at disambiguating organizations involved in the research process. In these tutorials, we'll walk you through the essential tasks of managing organizational data, including resolving duplicates, enriching metadata, approving suggested organizations, and resolving conflicts.

In this tutorial, we'll explore how to effectively establish and manage relationships between organizations within OpenOrgs, focusing on the essential aspect of parent-child connections. This process is crucial for organizations looking to accurately monitor and display their production through the OpenAIRE portals.

Slides of the presentation given during the OpenOrgs public webinar on the 9th of April 2024, titled "Curating Research Performing Organisation Affiliations."

The presentation was divided into 3 parts:

• Understanding OpenOrgs: Rationale behind the service and why it is important for the quality of data in the OpenAIRE Graph
• OpenOrgs Website: A guided tour of the new OpenOrgs website and its key features
• How Can you Help: Participating and contributing as an OpenOrgs curator

15 minutes was left at the end for a Q&A.

OpenOrgs is one of the key services to curate the links related with the Institution IDs, allowing the de-duplication process and curating the relationship parent-child between RPOs and departments or research groups.

During this sprint, OpenOrgs curators joined the session to curate the de-duplication of the Institutions and share experiences and best practices.

Organizations variously involved in the scientific work usually appear with a variety of names, identifiers, and metadata information in all the different data sources working in the context of scholarly communication. This ambiguity results in a considerable efficiency problem in the exchange of information, the findability of research products, and the monitoring of activities. 

OpenOrgs is a tool developed to address this ambiguity affecting the information aggregated by OpenAIRE from different research organization registries (e.g., ROR, EC) and populating the OpenAIRE Research Graph. 

It works in two steps: first, an algorithm automatically detects identities between organizations appearing in different data sources, with different names, metadata information, PIDs and so on. Second, a process of manual curatorship corroborates the automated process. Data curators can in fact resolve the ambiguity of duplicates detected with the automated process by stating whether two or more entities correspond or not to the same organization. They can also enrich metadata and eventually suggest new duplicates, thus improving the automated process. 

In the demo session, we will introduce OpenOrgs and we will show how this tool works, how users can interact with its functionalities and thus feed a disambiguation system necessary to build a robust Open Science ecosystem.

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.