Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 19th Oct 2021, 03:15:19pm UTC
Results from the OpenAIRE Call for Innovation: Enrich local data via the OpenAIRE Graph
Andrea Bollini1, Susanna Mornati1, Giuseppe Digilio1, Jordan Piščanc2, Michele Artini3, Claudio Atzori3
14Science, Italy; 2University of Trieste, Italy; 3ISTI-CNR, Italy
In the context of the OpenAIRE Open Innovation programme, 4Science proposed the project named “Enrich local data via the OpenAIRE Graph” to develop two data products for the repository community, and more specifically for the DSpace and DSpace-CRIS platforms. The solutions were built on top of the OpenAIRE Research Graph and the OpenAIRE Broker Service to enrich the data locally available and identify new data of interest reducing the friction of deposit.
The Open Innovation programme selects innovative projects in the field of Open Science to develop products and services linked to scholarly works, repositories, data management, OpenAIRE infrastructure and OpenAIRE services.
The 4Science proposal was awarded in 2020 and went through an accurate process of design, validation, prototyping and finalization of the solution, in continuous dialogue with the OpenAIRE team and gathering feedback from the repository community as well. In Feb 2021 the project was completed after a pilot phase with the University of Trieste, and the implemented solution was released as free open source.
This presentation aims to show the developed solution and discuss how collaboration between large initiatives such OpenAIRE and repository platforms can enrich both.
ORCID and OpenAIRE Compliance for DSpace
Courtney Earl Matthews1, William Roy1, Andrea Bollini2, L. Andrea Pascarelli2, Susanna Mornati2, Kathleen Shearer3, Pierre Lasou4
1Queen’s University Library, Canada; 24Science, Italy; 3COAR; 4Université Laval
Members of the Canadian Association of Research Libraries’ Open Repositories Working Group (CARL-ORWG) have a common goal of making research outcomes generated at their universities openly available to the global knowledge commons. In 2018 a subset of CARL-ORWG led by Queen’s University pooled their resources and hired 4Science to develop code to make aggregation from DSpace current versions (5 & 6) into OpenAire possible. In discussions with 4Science it was proposed and decided that this development work include a patch for adding ORCIDs to the required OAI-PMH feed. This presentation will provide background on this completed work including the principles and goals for open research shared by CARL members and 4Science and the details of the ORCID patch. DSpace is the most popular open source repository platform in the world and this implementation will bring benefit to the vast global community using the latest versions of DSpace, besides providing guidance and inspiration to other communities.
How to ensure “good” data? Quality assurance by research data repositories
Maxi Kindling, Dorothea Strecker, Vivien Petras, Yi Wang
Humboldt-Universität zu Berlin, Berlin School of Library and Information Science,Germany
Data quality is of high interest to all stakeholder groups in research data sharing. Nevertheless, data quality assurance by research data repositories is a little explored field. This contribution examines the role of research data repositories in data quality assurance based on a mixed-methods study carried out by the project re3data COREF. The main focus is on the presentation of the results of a survey among repository operators and a framework for data quality assurance by research data repositories.