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Leveraging technologies for data management and sharing to foster collaboration and implement data spaces. [PDF]

Data Brief
Chrysakis I, Antzoulatos G, Sánchez L, Parreira JX, Skoutas D, Jayawardene I, Bernardo RD, Vargiu E, Vrochidis S, Mannens E.   +9 more
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A Learning Quality Metadata approach: Automatic quality assessment of virtual training from metadata

Computer Standards and Interfaces, 2016
JOSÉ R Hilera
exaly   +2 more sources

Metadata quality and evaluation

Proceedings of the American Society for Information Science and Technology, 2005
AbstractGood “quality metadata supports the functional requirements of the system it is designed to support” (Guy, Powell, & Day, 2004). Researchers (e.g., Moen, Stewart, and McClure, 1997; Bruce & Hillman, 2004) have identified evaluation criteria and issues surrounding metadata evaluation.
Joseph A. Busch, Jane Greenberg, Elizabeth D. Liddy, William E. Moen, Marcia Zeng, Bhagirathi Subrahmanyam   +5 more
openaire   +1 more source

Metadata Analyser: Measuring Metadata Quality

2017
Scientific research is increasingly dependent on publicly available information and data sharing. So far, the best practices to ensure that data is accessible and shareable has been to deposit it in public repositories. However, these repositories often fail to implement mechanisms that measure data quality, which could lead to improving the ...
Bruno Inácio, João D. Ferreira, Francisco M. Couto   +2 more
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Rating quality in metadata harvesting

Proceedings of the 8th ACM International Conference on PErvasive Technologies Related to Assistive Environments, 2015
The quality of the data and metadata affects the interoperability of the collections and the quality of all processing. Our metadata quality metric helps the metadata harvester collection administrators detecting and improving the weaknesses of their metadata, and harvesters locating the most problematic collections, in terms of metadata quality, and ...
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A Metadata System for Quality Management

2014
Data quality becomes an important issue for scientific databases. It is currently managed insufficiently. General solutions for managing the quality data on the object level are represented insufficiently nowadays. These applications need, however, a management system that supports quality treatment over the entire lifespan.
Frank Kramer 0002, Bernhard Thalheim
openaire   +1 more source