HAL is the multidisciplinary French national open archive for all academic documents, published or not published. HAL contains more than 1.250.000 files of articles, preprints, conference papers, images etc.…

HAL is a pillar for the national open science policy. The first (2018) and the second (2021-2024) French plans for Open Science highlighted the need for HAL to simplify the deposit process for researchers, even when they publish in other open access platforms across the world, by developing an integrated self-archiving service, with automated targeted harvest of publications. This project is funded by ANR (https://anr.fr/en/), the French national research agency (ANR 21-ESRE-0047).

For this purpose, we have developed a service that suggests to researchers some of their documents available in other platforms, with the possibility of easily depositing them into HAL. In this talk, we will give an overview of the service, highlight how we have addressed some technical issues in order to build it and give some initial feedback of the service since its opening at the end of 2023.

In March 2023, a call was launched by the EOSC FAIR-IMPACT project called “Support offer #2: Enabling FAIR Signposting and RO-Crate for content/metadata discovery and consumption”[1]. We decided to join the short-term support action to get expert advice on how best to integrate RO-Crate in Dataverse in a general and widely applicable way to improve the interoperability of data structure and metadata in repositories using the Dataverse software.

Due to the relatively short time span of the FAIR-IMPACT project, we focused on two major aspects; an RO-Crate previewer, and a schema.org-based RO-Crate metadata exporter. The first was relatively easy to set up, as there was already an existing open-source html previewer available. The RO-Crate metadata exporter was a bit more challenging as there was first a mapping necessary of all metadata elements to schema.org and because we wanted to ensure there was some configurability for installations that use custom metadata fields in their set-up. We decided to stick to the RO-Crate recommendation to use schema.org, as by using it whenever possible, we facilitate the interoperability with other systems or metadata management tools as well.

This is a first step in a larger project to fully integrate RO-Crate in Dataverse.

Space science data is exploding but a large amount of scientific data is not being adequately analyzed and utilized. AI is accelerating space science data application, while still facing a series of challenges, such as the lack of data governance standards, data quality to be improved, and insufficient supply of intelligence-driven data application tools.

Data repositories are expected to play a role in improving data governance, hence, the Chinese National Space Science Data Center (NSSDC) has carried out a series of data governance practices in terms of FAIR data, open data action, data infrastructure development, data analysis and fusion tools development and data application ecosystem building, etc. Through these practices, NSSDC aims to improve the level of open data and application of space science data, providing high-quality data supply, enabling the effective use of data to mine new information and discover new knowledge. In the end of presentation, NSSDC like to share some thoughts on the future path of the new paradigm driven by data &intelligence.

The National Library of Technology (NTK) has operated its institutional repository for publications and other outputs for over ten years on the open-source platform Invenio 1. With a lack of technical staff over the years, the maintenance of the repository was getting more and more complicated. By 2022, the situation was no longer sustainable, and we had to face difficult choices. To ensure the repository's sustainability, it was necessary to change the software and process the data migration. We chose DSpace 7 as it meets our requirements well. Nevertheless, there are only a few implementations of DSpace 7 so far, none of them in the Czech Republic (only version 6). In all circumstances, it meant many challenges and mistakes during the DSpace 7 implementation. Our experience with the sustainability of a repository on a short budget is very fresh. We want to share it with the community, so our mistakes don’t have to be repeated. The contribution briefly describes the NTK repository context and shares the challenges and mistakes we made while implementing the chosen solution.

Collections of the Czech libraries contain a vast amount of information. Despite the dominance of textual information, a significant part of our cultural heritage is also information captured graphically, be it drawings, maps, diagrams, graphs, photographs, tables or other primarily graphic elements. As digitisation progresses, the deployment of OCR and full-text search systems is opening up hitherto hidden textual cultural heritage to the public. The aim of the presented project is to open the graphic content of digital libraries to the public in a similar way. Using machine learning methods, it will be possible to identify the graphic elements contained in digitized documents, to categorize them by type, to add contextual data to facilitate their retrieval and to extend the range of services of our digital libraries by a system for retrieving the graphic elements identified in this way. An important part of the project's outputs will be a tool for finding different images of the same persons and a database of identified persons. The project will thus result, among other things, in a significant facilitation of access by external users to graphic elements contained in library collections and their further use in other creative industries.

The RCAAP network, crucial for promoting Open Science in Portugal, includes the Institutional Repository Hosting Service (SARI), which hosts 28 repositories. Facing the challenge of migrating from DSpace 5.x to DSpace 7.x, the process unfolded in phases. The creation of DSpace 7++, incorporating additional integrations, marked the initial step. A pilot project involving two institutions refined the migration process. With a focus on improved user interfaces, recent technologies, customization, and new integrations, DSpace 7.x was chosen. Despite compromises and acknowledged usability issues, the migration aimed to align with the community's needs. The ongoing evolution prioritizes aspects adding value to what DSpace delivers within the broader scientific ecosystem. Notably, lessons learned emphasize the significance of constant improvement and prioritization of features aligned with community needs.

Thousands of institutions in Asia have institutional repositories, but many of them have not given sufficient attention to operational quality issues. This lack of focus may have made the institutional repositories less attractive to users. In response to this situation, we, National Institute of Informatics (NII), have chosen to use a survey based on the COAR Community Framework for Good Practices in Repositories, a set of checklists designed to measure the operational quality of repositories, aiming to raise awareness to the issues within the institutional repository community in Asia. To effectively raise awareness, conducting periodic surveys with feedback becomes crucial. However, existing survey systems pose challenges as they tend to lack a feedback function that automates the labor-intensive process of e-mailing responses, scoring answers, graphing scores, and issuing certifications for thousands of institutions. To address the issue, we have developed a self-assessment tool, a survey system featuring a feedback function that automates the process. By making the survey available to the community through the system, we aim to raise awareness extensively and enhance actual operational practices eventually.

Many organizations have gathered experience in managing/providing metadata using graphs/linked data technologies. Some months ago, the International Council on Archives finally released version 1.0 of Records in Contexts (RiC) including an ontology. We are presenting graph-based software solutions, both an archival information system as well as a repository system, using this standard.