Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/73404
Título: | Beyond relational databases: preserving the data |
Autor(es): | Ramalho, José Carlos Ferreira, Bruno Faria, Luís Ferreira, Miguel |
Palavras-chave: | Digital Archiving eArchiving Database preservation E-ARK SIARD Databases Relational databases RDMS Database preservation toolkit |
Data: | 2020 |
Editora: | Routledge |
Revista: | New Review of Information Networking |
Citação: | José Carlos Ramalho, Bruno Ferreira, Luis Faria & Miguel Ferreira (2020) Beyond Relational Databases: Preserving the Data, New Review of Information Networking, 25:2, 107-118, DOI: 10.1080/13614576.2021.1919398 |
Resumo(s): | Relational databases are one of the main technologies supporting information assets in today’s organizations. They are designed to store, organize and retrieve digital information, and are such a fundamental part of information systems that most would not be able to function without them. Very often, the information contained in databases is irreplaceable or prohibitively expensive to reacquire; therefore, steps must be taken to ensure that the information within databases is preserved. This paper describes a methodology for long-term preservation of relational databases based on information extraction and format migration to a preservation format. It also presents a tool that was developed to support this methodology: Database Preservation Toolkit (DBPTK), as well as the processes and formats needed to preserve databases. The DBPTK connects to live relational databases and extracts information into formats more adequate for long-term preservation. Supported preservation formats include the SIARD 2, created by a cooperation between the Swiss Federal Archives and the E-ARK project that is becoming a standard in the area. DBPTK has a flexible plugin-based architecture enabling its use for other purposes like database upgrade and database migration between different systems. Presented real case scenarios demonstrate the usefulness, correctness and performance of the tool. |
Tipo: | Artigo |
URI: | https://hdl.handle.net/1822/73404 |
DOI: | 10.1080/13614576.2021.1919398 |
ISSN: | 1361-4576 |
e-ISSN: | 1740-7869 |
Versão da editora: | https://www.tandfonline.com/doi/abs/10.1080/13614576.2021.1919398 |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: | KEEPS - Artigos (Papers) |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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Beyond Relational Databases Preserving the Data.pdf | 1,14 MB | Adobe PDF | Ver/Abrir |
Este trabalho está licenciado sob uma Licença Creative Commons