Usage-Driven Dublin Core Descriptor Selection A Case Study Using the Dendro Platform for Research Dataset Description

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2016

Autores

da Silva, JR (Autor) FEUP; Cristina Ribeiro (Autor) FEUP; João Correia Lopes (Autor) FEUP

Ata de Conferência Internacional

Título: RESEARCH AND ADVANCED TECHNOLOGY FOR DIGITAL LIBRARIES, TPDL 2016

Páginas: 27-38

20th International Conference on Theory and Practice of Digital Libraries (TPDL)

Hannover, GERMANY, SEP 05-09, 2016

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 0 Citações

Outras Informações

ID Authenticus: P-00K-QV9

DOI: 10.1007/978-3-319-43997-6_3

Abstract (EN): Dublin Core schemas are the core metadata models of most repositories, and this includes recent repositories dedicated to datasets. DC descriptors are generic and are being adapted to the needs of different communities with the so-called Dublin Core Application Profiles. DCAPs rely on the agreement within user communities, in a process mainly driven by their evolving needs. In this paper, we propose a complementary automated process, designed to help curators and users discover the descriptors that better suit the needs of a specific research group. We target the description of datasets, and test our approach using Dendro, a prototype research data management platform, where an experimental method is used to rank and present DC Terms descriptors to the users based on their usage patterns. In a controlled experiment, we gathered the interactions of two groups as they used Dendro to describe datasets from selected sources. One of the groups had descriptor ranking on, while the other had the same list of descriptors throughout the whole experiment. Preliminary results show that 1. some DC Terms are filled in more often than others, with different distribution in the two groups, 2. selected descriptors were increasingly accepted by users in detriment of manual selection and 3. users were satisfied with the performance of the platform, as demonstrated by a post-study survey.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 12