Memorias de investigación
Capítulo de libro:
Digital libraries for the preservation of research methods and associated artifacts
Año:2013

Áreas de investigación
  • Informática

Datos
Descripción
New digital artifacts are emerging in data-intensive science. For example, scientific workflows are executable descriptions of scientific procedures that define the sequence of computational steps in an automated data analysis, supporting reproducible research and the sharing and replication of best-practice and know-how through reuse. Workflows are specified at design time and interpreted through their execution in a variety of situations, environments, and domains. Hence it is essential to preserve both their static and dynamic aspects, along with the research context in which they are used. To achieve this, we propose the use of multidimensional digital objects (Research Objects) that aggregate the resources used and/or produced in scientific investigations, including workflow models, provenance of their executions, and links to the relevant associated resources, along with the provision of technological support for their preservation and efficient retrieval and reuse. In this direction, we specified a software architecture for the design and implementation of a Research Object preservation system, and realized this architecture with a set of services and clients, drawing together practices in digital libraries, preservation systems, workflow management, social networking and Semantic Web technologies. In this paper, we describe the backbone system of this realization, a digital library system built on top of dLibra.
Internacional
Si
DOI
10.1145/2499583.2499589
Edición del Libro
Editorial del Libro
ACM New York, NY, USA
ISBN
978-1-4503-2185-3
Serie
Título del Libro
Proceedings of the 1st International Workshop on Digital Preservation of Research Methods and Artefacts
Desde página
8
Hasta página
15

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Participantes

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial