Preserving Research Grant Data: Building an OAIS-Compliant Open Archive

10 pages•Published: November 6, 2025

Abdelaziz Bouras, Hira Naseem and Abdelhak Belhi

Abstract

The preservation of research grants’ data is essential for long-term accessibility, auditing, and informed decision-making. This paper presents the implementation of the Open Archival Information System (OAIS) model for archiving research grants’ data. The proposed system ensures structured storage, retrieval, and management of critical research outputs, including reports, publications, and financial records. While the implementation has addressed key challenges such as data ingestion, metadata management, and security, certain aspects require further refinement to optimize scalability and accessibility. Despite these challenges, the OAIS-based approach provides a robust foundation for future-proofing research data, ensuring its availability for strategic planning, performance evaluation, and institutional decision-making. The study highlights lessons learned from the initial deployment and outlines enhancements needed to improve system efficiency. Ultimately, this model serves as a sustainable framework for research data archiving, contributing to a more data-driven research ecosystem.

Keyphrases: data security, digital preservation, metadata management, open archival information system (oais), research data management

In: Laurence Desnos, Raimund Vogl, Lazaros Merakos, Carmen Diaz, Janina Mincer-Daszkiewicz and Stuart Mclellan (editors). Proceedings of EUNIS 2025 annual congress in Belfast, vol 107, pages 272-281.

Links:	https://easychair.org/publications/paper/q76T
	https://doi.org/10.29007/q3wz

BibTeX entry

@inproceedings{EUNIS2025:Preserving_Research_Grant_Data,
  author    = {Abdelaziz Bouras and Hira Naseem and Abdelhak Belhi},
  title     = {Preserving Research Grant Data: Building an OAIS-Compliant Open Archive},
  booktitle = {Proceedings of EUNIS 2025 annual congress in Belfast},
  editor    = {Laurence Desnos and Raimund Vogl and Lazaros Merakos and Carmen Diaz and Janina Mincer-Daszkiewicz and Stuart Mclellan},
  series    = {EPiC Series in Computing},
  volume    = {107},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {/publications/paper/q76T},
  doi       = {10.29007/q3wz},
  pages     = {272-281},
  year      = {2025}}

Download PDF Open PDF in browser