Open data and Pure


Open Science is based on the principle that research must be reproducible and data should be accessible to all. With the growth of the Open Science movement, Open Data is also becoming more and more important. Research data must be FAIR, meaning it should Findable, Accessible, Interoperable, and Reusable. For these requirements to be met, governments and funding agencies have developed (or adhered) to specific standards that research data must comply with. DataCite and OpenAire have developed standards and specific data schemas aimed at making research data interoperable.
DataCite is an international non-profit organization that aims to improve data citation by improving discoverability of data and supporting archiving. It provides persistent identifiers (DOIs) for research data and other research outputs, so that data becomes discoverable and associated metadata is made available to the community. In order to make data citable, searchable and accessible datasets are associated with metadata that meets basic standards and adheres to uniform, consistent schema. The metadata consists of descriptions of and facts and figures about the data and aims at making your data reusable and interoperable. More information on DataCite can be found here.
OpenAire is a network of Open Access repositories, archives and journals, that supports the implementation of the European Council (EC) and European Research Council (ERC) Open Access policies. It provides interoperability services that connect research and enable researchers, content providers, funders and research administrators to easily adopt Open Science. It promotes common access policies and protocols for all research results by setting common data standards for an effective and open global research ecosystem. OpenAIRE gathers together research output related to European funding streams, with the aim of supporting open science and tracking research impact.
OpenAire has adopted the DataCite Metadata Schema as the basis for harvesting and importing metadata about datasets from data archives. The OpenAIRE Guidelines for Data Archive Managers 2.0 provide instructions on a dataset's metadata, such that it is compatible with the OpenAIRE infrastructure. OpenAIRE uses the OAI-PMH v2.0 protocol for harvesting dataset metadata. Metadata must be encoded in the DataCite metadata format. More information on OpenAire Guidelines for Data Archives can be found here.
In Pure we want to make sure that your datasets are compliant with Open Access policies, meaning that your datasets are easily findable and accessible, and the metadata associated to your datasets includes all the information required for compliance.
In this section our integrations with Data Monitor (for importing datasets) and Datacite (for registering datasets) are described.
Registering datasets at DataCite
Registering datasets at DataCite
Integration with Data Monitor
Integration with Data Monitor