9:35 AM - 9:55 AM
[U06-03] The role of domain repositories for Open Science
★Invited Papers
Keywords:research data management, domain repositories, persistent identifier, open science, metadata, DOI
The Berlin Declaration from 2003 was the starting point for Open Access to scholarly publications. Today, however, we speak about Open Science that reaches far beyond Open Access and represents collaborative, transparent and accessible research that includes all kinds of research results like scholarly literature, research data, software, samples, instruments. In addition, efforts such as the FAIR Principles and the Commitment Statements of the Coalition for Publishing Data in the Earth, space and environmental sciences (COPDESS), combined with increasing demands for machine accessible and -understandable data and metadata, have raised user expectations towards the capabilities of research data repositories and datacentres.
As part of this, it becomes increasingly relevant to make data discoverable in the internet (via their metadata) and to digitally connect research outputs (articles, data, software, samples) with each other and with the originating researchers and institutions – in unique and machine-readable way. The use of persistent identifier (like DOI, ORCID, ROR, IGSN) and descriptive linked data vocabularies/ontologies in the metadata associated with research outcomes are strongly supporting these tasks.
Research data repositories, especially domain repositories, are experts for this. Domain repositories are digital archives that manage and preserve curated research data from specific scientific disciplines and often assign data with digital object identifiers (DOI) which makes them fully citable in scholarly literature. The metadata associated with the DOI-referenced objects is specific for their domain and richer than generic metadata supposed to describe data across many scientific disciplines. Their metadata for data discovery is provided in machine-readable formats (XML, JSON) following international standards (e.g., DataCite, ISO 19115/INSPIRE) and include all information for the development of knowledge graphs. As such, they represent important partners for researcher to make their research data not only available, but ensure that the data are found, understood, reused in the right context and connected to related research results.
As part of this, it becomes increasingly relevant to make data discoverable in the internet (via their metadata) and to digitally connect research outputs (articles, data, software, samples) with each other and with the originating researchers and institutions – in unique and machine-readable way. The use of persistent identifier (like DOI, ORCID, ROR, IGSN) and descriptive linked data vocabularies/ontologies in the metadata associated with research outcomes are strongly supporting these tasks.
Research data repositories, especially domain repositories, are experts for this. Domain repositories are digital archives that manage and preserve curated research data from specific scientific disciplines and often assign data with digital object identifiers (DOI) which makes them fully citable in scholarly literature. The metadata associated with the DOI-referenced objects is specific for their domain and richer than generic metadata supposed to describe data across many scientific disciplines. Their metadata for data discovery is provided in machine-readable formats (XML, JSON) following international standards (e.g., DataCite, ISO 19115/INSPIRE) and include all information for the development of knowledge graphs. As such, they represent important partners for researcher to make their research data not only available, but ensure that the data are found, understood, reused in the right context and connected to related research results.