Visible to the public Using Format Migration and Preservation Metadata to Support Digital Preservation of Scientific Data

TitleUsing Format Migration and Preservation Metadata to Support Digital Preservation of Scientific Data
Publication TypeConference Paper
Year of Publication2019
AuthorsXie, J., Zhang, M., Ma, Y.
Conference Name2019 IEEE 10th International Conference on Software Engineering and Service Science (ICSESS)
Date PublishedOct. 2019
PublisherIEEE
ISBN Number978-1-7281-0945-9
KeywordsChemicals, compositionality, data authenticity, data fixity, data integrity, data intensive scientific discovery, digital preservation, digital signature, digital signatures, e-science, format migration, format verification, Grammar, mapping rules, meta data, metadata, Metadata Discovery Problem, object transformation, PREMIS, preservation metadata, pubcrawl, resilience, Resiliency, Scalability, scientific information systems, Software, software architecture, system architecture, Systems architecture, valuable scientific data
Abstract

With the development of e-Science and data intensive scientific discovery, it needs to ensure scientific data available for the long-term, with the goal that the valuable scientific data should be discovered and re-used for downstream investigations, either alone, or in combination with newly generated data. As such, the preservation of scientific data enables that not only might experiment be reproducible and verifiable, but also new questions can be raised by other scientists to promote research and innovation. In this paper, we focus on the two main problems of digital preservation that are format migration and preservation metadata. Format migration includes both format verification and object transformation. The system architecture of format migration and preservation metadata is presented, mapping rules of object transformation are analyzed, data fixity and integrity and authenticity, digital signature and so on are discussed and an example is shown in detail.

URLhttps://ieeexplore.ieee.org/document/9040683
DOI10.1109/ICSESS47205.2019.9040683
Citation Keyxie_using_2019