Trust, Privacy and Authenticity in Scientific Data Sharing

• Autor(es): Almeida, Joana ; Santos, Rita ; Martins, Ciro ; Gomes, Hélder ; Guimarães, Cármen ; Costa, Fernando ; Colarejo, Pedro ; Monteiro, Afonso ; Costa, Liliana Vale
• Data: 2025
• Origem: Journal of Digital Media & Interaction
• Tipo de Documento: Artigo científico
• Idioma: Inglês

Descrição

Efficient and secure sharing of scientific data remains a key challenge in the Open Science framework, especially in terms of data authenticity, provenance and privacy. Traditional digital repositories improve access but often lack decentralized mechanisms that guarantee integrity and traceability. Blockchain technology provides a potential solution through tamper-proof records and distributed consensus, while Zero Knowledge Proofs (ZKP) can enhance privacy protection. This study explores how blockchain and ZKP can be integrated for decentralized scientific data management. A systematic literature review reveals limited application of these combined technologies in Open Science, highlighting a research gap and the need for solutions that support transparent, secure and privacy-preserving data sharing in accordance with FAIR principles.