# name
Proposta de preservació de dades científiques en accés obert mitjançant tècniques d’anàlisi forense digital

# metadata.dc.contributor.other[].value
Universitat de Barcelona. Departament de Biblioteconomia i Documentació

# metadata.dc.description.abstract[].value
[eng]  It has long been that funding agencies for research require researchers to facilitate the sharing of research data produced in funded projects which must be open-access available, generally through a repository. Therefore, digital preservation centres are facing the challenge of preservation and long-term storage of research data. The purpose of this thesis is to prove that digital forensics techniques are valid to preserve effectively research data in the social sciences and humanities. To prove this hypothesis, a preservation workflow has been created to provide a technical solution to centres without the means to use data repositories, since the model uses the DSpace open source software. The methodology has involved, firstly, analysing of the bibliography on open research data, on funding agencies for research, on digital forensics use cases in libraries and archives and on organizations specialized on deposit of data. Secondly, a series of interviews to responsible people for DSpace repositories have been conducted to know their opinions regarding the application of the model. Lastly, a series of tests have been done to develop the proposal. Once these tests have been completed, the workflow of the preservation model was defined in which the OAIS terminology was used. The theoretical basis of the model was the study of diverse use cases of digital forensics, of which different methods were adapted. The last step was the study of the DSpace software, in which some tests on a local repository were done. The final conclusions are that the preservation model meets the different requirements of research funding agencies regarding open access, while digital forensic analysis techniques allow to safeguard the integrity of the data, perform diverse data analyses and identify and block personally identifiable information. DSpace software allows the intake of large volumes of data, but it is necessary to enable the FTP ingest function.

# metadata.dc.source[].value
Tesis Doctorals - Departament - Biblioteconomia, Documentació i Comunicació Audiovisual

# metadata.dc.title[].value
Proposta de preservació de dades científiques en accés obert mitjançant tècniques d’anàlisi forense digital