A UML APPROACH TO DESIGNING A FAIR DATA POINT REPOSITORY

ABSTRACT

Academic projects generate vast amounts of valuable data that can greatly benefit the research community if properly managed and shared. However, the lack of structured and standardized design processes for creating fair data repositories hinders data accessibility and reuse. In response to this challenge, this study presents a UML (Unified Modelling Language) approach to designing a Findable (F), Accessible (A), Interoperable (I), and Reusable (R) data point repository for academic projects. The need for a structured and standardized design process for creating a fair data repository is addressed, with the aim of promoting data accessibility and facilitating the reuse of scholarly resources. The UML models serve as a blueprint for implementation, guiding the development team and facilitating the integration of FAIR principles into the repository's design. Although this study is currently in progress towards developing a FAIR Data Point Repository for Academic Projects, the adoption of a UML approach holds significant potential. This approach shows promise in establishing a robust and FAIR data infrastructure that not only supports academic research but also enhances data accessibility and enables the valuable reuse of scholarly resources.

Keywords: Academic Projects, Data Repository, FAIR data points, Research Data, UML