• Metadata for Big Data: A preli...

Result: Metadata for Big Data: A preliminary investigation of metadata quality issues in research data repositories : Let's Put Data to Use: Digital Scholarship for the Next Generation

Title:
Metadata for Big Data: A preliminary investigation of metadata quality issues in research data repositories : Let's Put Data to Use: Digital Scholarship for the Next Generation
Authors:
ROUSIDIS, Dimitris, GAROUFALLOU, Emmanouel, BALATSOUKAS, Panos, SICILIA, Miguel-Angel
Source:
Information services & use. 34(3-4):279-286
Publisher Information:
Amsterdam: IOS Press, 2014.
Publication Year:
2014
Physical Description:
print, 23 ref
Original Material:
INIST-CNRS
Subject Terms:
Documentation, Sciences exactes et technologie, Exact sciences and technology, Sciences et techniques communes, Sciences and techniques of general use, Sciences de l'information. Documentation, Information science. Documentation, Technologie de la communication et de l'information, Information and communication technologies, Technologies de l'information: supports, équipements, Information technologies: storage media, equipment, Sciences de l'information et de la communication, Information and communication sciences, Donnée, Data, Dato, Enquête, Survey, Encuesta, Métadonnée, Metadata, Metadatos, Qualité, Quality, Calidad, Recherche, Research, Investigación, Big Data, data quality, descriptive analysis, e-Research, metadata, research objects
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
University of Alcala, Madrid, Spain
Alexander Technological Educational Institute of Thessaloniki, Thessaloniki, Greece
University of Manchester, Manchester, United Kingdom
ISSN:
0167-5265
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=29083283
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Sciences of information and communication. Documentation

FRANCIS
Accession Number:
edscal.29083283
Database:
PASCAL Archive

Further Information

Data-driven approaches to scientific research have generated new types of repositories that provide scientists the means necessary to store, share and re-use big data-sets generated at various stages of the research process. As the number and heterogeneity of research data repositories increase, it becomes critical for scientists to solve data quality problems associated to the data-sets stored in these repositories. To date, several authors have been focused on the data quality issues associated to the data-sets stored in the repositories, yet there is little knowledge about the quality problems of the metadata used to describe these data-sets. Metadata is important for the long-term sustainability of research data repositories and data re-use. The aim of the research reported in this paper was to identify the data quality problems associated with the metadata used in the Dryad data repository. The paper concludes with some recommendations for improving the quality of metadata in research data repositories.