A small collection of metadata concepts has been jointly negotiated among a group of specialists to be relevant for classifying data used in their field. A series of comparisons are made to test levels of agreement between individuals when these concepts are used to tag data items. Inter-coder agreement measures are presented for a range of data sets and individuals with varying relationships to the data sets. The implications of the results for the use of metadata as a supporting mechanism for knowledge sharing are discussed
Collaborative tagging is an interesting approach that provides the flexibility to add description(s)...
Collaborative tagging is a simple and effective method for organizing and sharing web resources usi...
Metadata practitioners and standards developers typically take classifications as given. Rarely do ...
A small collection of metadata concepts has been jointly negotiated among a group of specialists to ...
When scientists from two or more disciplines work together on related problems, they often face what...
This article highlights the issue on mutual understanding towards the types of metadata. The issue i...
In this paper the issue of statistical metadata with regard to the quality of data and data interpre...
Analogous to the technological developments, research data is being produced at a higher rate than e...
Proper metadata is key in understanding, interpreting and publishing research data. In this presenta...
Introduction to "Metadata as Knowledge," a special issue of KULA: Knowledge Creation, Dissemination,...
This research paper reports part of a larger international study that employs collaborative tagging ...
This paper reports our ongoing work investigating the structural features of scientific collaboratio...
<p>As metadata and data converge, particularly where evolving standards such as DDI4 can simultaneou...
This article shows that metadata plays a central role in our society and concludes that through coll...
Contemporary researchers are beginning to explore the possibilities and opportunities of digital hum...
Collaborative tagging is an interesting approach that provides the flexibility to add description(s)...
Collaborative tagging is a simple and effective method for organizing and sharing web resources usi...
Metadata practitioners and standards developers typically take classifications as given. Rarely do ...
A small collection of metadata concepts has been jointly negotiated among a group of specialists to ...
When scientists from two or more disciplines work together on related problems, they often face what...
This article highlights the issue on mutual understanding towards the types of metadata. The issue i...
In this paper the issue of statistical metadata with regard to the quality of data and data interpre...
Analogous to the technological developments, research data is being produced at a higher rate than e...
Proper metadata is key in understanding, interpreting and publishing research data. In this presenta...
Introduction to "Metadata as Knowledge," a special issue of KULA: Knowledge Creation, Dissemination,...
This research paper reports part of a larger international study that employs collaborative tagging ...
This paper reports our ongoing work investigating the structural features of scientific collaboratio...
<p>As metadata and data converge, particularly where evolving standards such as DDI4 can simultaneou...
This article shows that metadata plays a central role in our society and concludes that through coll...
Contemporary researchers are beginning to explore the possibilities and opportunities of digital hum...
Collaborative tagging is an interesting approach that provides the flexibility to add description(s)...
Collaborative tagging is a simple and effective method for organizing and sharing web resources usi...
Metadata practitioners and standards developers typically take classifications as given. Rarely do ...