“Enhancing FAIR Data Practices in the Norwegian Research Data Archive: Towards Research Objects and Improved Interoperability”

The increasing volume and complexity of research data necessitate robust data management practices to ensure data is Findable, Accessible, Interoperable, and Reusable (FAIR). The Norwegian Research Data Archive (NRDA) is at the forefront of efforts to create a comprehensive platform for researchers to share and archive their data. This paper discusses NRDA’s ongoing initiatives to enhance its infrastructure in alignment with FAIR principles, emphasizing the integration of Research Objects (ROs) and RO-Crate technologies. These improvements aim to facilitate better data discoverability, accessibility, and interoperability, thereby fostering a more integrated and sustainable data ecosystem. The paper also highlights NRDA’s collaborative efforts with other platforms via the use of Research Objects to support data sharing and reuse across repositories. By focusing on standardized metadata, persistent identifiers, and interoperability, NRDA is advancing Open Science practices, ultimately contributing to a more transparent, efficient, and collaborative research environment. The challenges and future directions of these initiatives are also explored, providing insights into the ongoing efforts to create a more open and interconnected scientific landscape.

https://doi.org/10.52825/ocp.v5i.1202

| Artificial Intelligence |
| Research Data Curation and Management Works |
| Digital Curation and Digital Preservation Works |
| Open Access Works |
| Digital Scholarship |