As more and more repositories are available, the metadata available there are increasingly used for scientometric analyses, including for evaluative purposes. Local repositories are often an important complementary source as they gather output not commonly available in the large databases currently in use. As these local repositories commonly struggle to keep up with new technical demands, for example for interoperability, data equity is a problem to be solved. This is also the case when repository metadata have to be adapted to fit for scientometric analyses. To gather and extract metadata for such analyses may be cumbersome due to variations in structures and formats. This proposal summarizes recent work with several repositories from around the world such as SciELO and African Journals Online. Current examples of how to process and structure in order to be able to combine data from different sources will be shared, as well as best practice examples gained from this experience. These repositories commonly gather material from underrepresented communities, for example non-English material. Pooling the experiences of gathering data from these different repositories may help leverage the work done locally, and make the data widely available for analyses.

This proposal introduces Cora, an open source platform developed by Uppsala University Library, designed to handle structured metadata and associated binary files. Cora brings a unique approach to content control by letting metadata guide the content stored in the repository.

In this presentation we will explain and showcase how Semantic and Image Similarity Search is being developed and implemented in Archipelago Commons, an OSS repository system. This new feature will be publicly available and deployed by default for all our users starting on version 1.5.0. This functionality brings a hybrid approach on AI/ML driven search and application to our OSS repository system. By adding new Services to our existing Docker stack, using NLP and LoD entities for important validation context, and providing end user facing tools we ensure our community has complete control of what is included/excluded and how results to queries are exposed to the world. Our hybrid approach also entails integrating an embeddings/features extraction pipeline, vector based search on our current Solr indexes, Spotify’s Annoy as a Service, and a custom IIIF Content Search API 2.x implementation with Binary search capability.

DSpace 7 introduced the concept of entities and relationships which provide a way for the repository to represent many concepts in open access publishing.

One of the most obvious use cases of this new framework is a way of representing the relationships between people (authors, editors, project managers) and works like publications and projects. If you are migrating from a previous version of DSpace, you might already have authority control in place.

In 2023, The Library Code GmbH completed a large migration of a DSpace 6 institutional research repository to DSpace 7. A large part of this work involved the conversion of nearly 40,000 authority-controlled metadata values to entities and relationships, where institutional authors would now be represented by a Person entity with relationships to Publication and Project entities.

This presentation will have a technical view on entities, relationships and data migration. We will share our experience using entities and relationships in DSpace 7. We will discuss the technical approach taken, its benefits and challenges and share the lessons learned during this project. We hope to help demystify one of DSpace’s largest new features by presenting how we achieved this large migration.

With the rise of Gold Open Access publishing in "author pays" models a new kind of metadata gains importance: costs directly associated with publications. Adding so-called transformative agreements as well as scholarly led Open Access to the mix further increases their importance, as cost transparency has to be a guiding principle for sustainability.

Repositories provide high quality metadata in various formats via established interfaces. Enhancing these metadata by cost data thus makes them a potential corner stone to achieve the desired transparency.

Therefore, the project openCost developed, together with the community, a XML schema to model cost data both for individual articles and, most recently, to handle contracts.

We give an in-depth view of the openCost schema, demonstrate real world implementations and provide some glimpses on an associated workflow to collect the data. This will enable developers to gain an understanding of the requirements for adding openCost compatibility to existing repository systems.

Tbe openCost partner University of Bielefeld already implemented harvesting of the openCost format via OAI-PMH for their own, openly available aggregator platform OpenAPC. Their openly available metadata store allows a wide variety of analyses and thus showcases the strength of the openCost approach.