Content Providers News no.18
24 September 2021
Book in your calendar the upcoming calls
The Community Calls for Content Providers have been an opportunity to present and discuss recent developments from OpenAIRE, and more specifically new releases from PROVIDE and other relevant topics for the OpenAIRE Content Providers community.
Through the calls OpenAIRE provides clear and accurate information on its infrastructure and service developments.
This year we have had fruitful community meetings focusing distinct topics, such as the metadata enrichment service (Broker) and their integration in DSpace, the analytics service of OpenAIRE Research Graph (UsageCounts), the contribution of the OpenAIRE services to the EOSC, and the adaptation of the FAIR Data Maturity Model indicators in the OpenAIRE Validator. Remember that both presentations and recordings are available for consultation in the community calls page.
After the Summer break, the Community Calls for Content Providers will return next October 6th and November 3rd.
Book in your calendar the upcoming meetings, and stay updated on the latest developments.
The Community calls are open to all OpenAIRE content provider managers and we welcome any feedback from users.
Evaluate the level of adoption of the FAIR Principles by your datasource
The FAIR assessment of datasources is now available in the OpenAIRE Validator. This service, still in beta, is being developed by the OpenAIRE technical team, but it’s already available to be used and tested by the OpenAIRE Content Providers.
We would like to invite datasource managers to use and test this service, which allows them to evaluate the level of adoption of the FAIR Principles by their datasources.
The Validator is available to every logged-in user via the PROVIDE dashboard and is intended to provide an impression of the FAIRness of their datasource.
The FAIR Maturity Model Indicators, as core criteria to assess the implementation level of the FAIR (Data) principles, implemented in the OpenAIRE Validator, aims to offer to the datasource managers, a way to assess the implementation of FAIR (Data) Principles in their datasource. This implementation in the Validator will deploy a specific guideline to evaluate the level of adoption of the FAIR Principles by datasources.