Robin Dasler

CERN Analysis Preservation: A Novel Digital Library Service to Enable Reusable and Reproducible Research

The latest policy developments require immediate action for data preservation, as well as reproducible and Open Science. To address this, an unprecedented digital library service is presented to enable the High-Energy Physics community to preserve and share their research objects (such as data, code, documentation, notes) throughout their research process. While facing the challenges of a “big data” community, the internal service builds on existing internal databases to make the process as easy and intrinsic as possible for researchers. Given the “work in progress” nature of the objects preserved, versioning is supported. It is expected that the service will not only facilitate better preservation techniques in the community, but will foremost make collaborative research easier as detailed metadata and novel retrieval functionality provide better access to ongoing works. This new type of e-infrastructure, fully integrated into the research workflow, could help in fostering Open Science practices across disciplines.

Services That Enable Integration And Cross-Linking Across Different Types Of Identifiers And Data Types

This report summarises progress for disciplinary cross-linking of identifier systems and the results obtained from the perspective of each THOR project partner organisation, in particular disciplinary data repositories. We describe requirements, results, and challenges informed by implementations in the life sciences, earth and environmental sciences, and high-energy physics.

Demonstration of Services to Integrate ORCIDs into Data Records and Database Systems

Reviewers: Adam Farquhar (British Library), Rachael Kotarski (British Library) Abstract: This report summarises progress on integrating ORCID iDs into production services in major databases at three different organisations and disciplines, namely EMBL-EBI for life sciences, PANGAEA for earth sciences, and CERN for high-energy physics. ORCID integration is enabling these services and databases to automatically link deposited datasets with the unique and persistent identifier of contributors, thus facilitating unambiguous credit for the production of datasets. We discuss the requirements, challenges and lessons learned.