![]() ![]() A few years ago, having a storage infrastructure was an expensive idea that had to come with the buying, storage, securing, and maintenance of the equipment used to develop the infrastructure. In recent years cloud computing has moved from an idea phase to a necessity in the business and personal use world, it has gone from being a theory to being an easily accessible need for organizations and individuals. Supplementary data are available at Bioinformatics online. As a use case, we provide an example implementation in engineered living material technology within the Hybrid Technology Hub at the University of Oslo. ![]() GADDS is built with containerized technologies, providing minimal hardware standards and easing scalability, and offers decentralized trust via transparency of metadata, facilitating data exchange and collaboration. The platform consists of (i) a blockchain based metadata quality control system, (ii) a private cloud-like storage system and (iii) a version control system. We have developed the Globally Accessible Distributed Data Sharing (GADDS) platform to facilitate FAIR-like data-sharing in cross-disciplinary research collaborations. ![]() However, implementing this framework is beyond the means of most researchers in terms of resources and expertise, requiring awareness of metadata, policies, community agreements, and other factors such as vocabularies and ontologies. The Findable, Accessible, Interoperable and Reusable (FAIR) principles provide a framework to support effective data management. Technical advances have revolutionized the life sciences and researchers commonly face challenges associated with handling large amounts of heterogeneous digital data. ![]()
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