Friday, January 27, 2012

Additions to Source Codes for Vocabularies, Rules, and Schemes

The source code listed below has been recently approved. The code will be added to the applicable Source Codes for Vocabularies, Rules, and Schemes list. See the specific source code list for current usage in MARC fields and MODS/MADS elements.

The code should not be used in exchange records until 60 days after the date of this notice to provide implementers time to include the newly-defined code in any validation tables. Subject Heading and Term Source Codes

The following source code has been added to the Subject Heading and Term Source Codes list for usage in appropriate fields and elements.

Collett-bibliografi: litteratur av og om Camilla Collett (Oslo: Nasjonalbiblioteket)

Publication of RDA terms for Content, Carrier, Media type Vocabularies

RDA logoImage by American Library Association Publishing via FlickrNews about RDA vocabularies.
The Joint Steering Committee for Development of RDA (JSC), the DCMI Bibliographic Metadata Task Group (formerly DCMI/RDA Task Group), and ALA Publishing (on behalf of the co-publishers of RDA) are pleased to announce the publication of a second set of vocabulary terms as linked open data. The RDA Carrier Type, Content Type and Media Type vocabularies have been reviewed, approved, and their status in the Open Metadata Registry (OMR) changed to ‘published.’ The finished vocabularies can be viewed following the links from the terms above. (The links lead to the description of the vocabulary itself, the specific terms can be viewed under the tab for ‘concepts’).

Terms in the Content Type vocabulary refer to the intellectual or artistic content of a resource, such as text or notated music; terms in the Carrier Type vocabulary refer to the means and methods by which content is conveyed including volume, sheet, computer disk; terms in the Media Type vocabulary specify the general type of intermediation device (if any) required to view, play or run the content of a resource. These vocabularies are derived from the RDA/ONIX framework for resource categorization which established an extensible methodology for categorization of resources according to content and carrier.

Wednesday, January 25, 2012

Cute Catalog

The 1st operational eXtensible catalog is Cute.Catalog at Kyushu University Library.
Cute.Catalog completely covers the bibliographic information of academic resources in Kyushu University which contain not only library holdings but also research output produced by Kyushu University researchers.


Cute.Catalog includes:
  • Research Outputs by Kyushu University Researchers: 250 thousands
  • Library Holdings of Printed Materials in Kyushu University Bibliographies: 1.6 million, Holdings 4 million
  • Accessible e-Journals: 51 thousands, e-Books: 53 thousands
  • Institutional Repository records: 17 thousands
  • Digital Collection: 10 thousands
Key enhanced features are:
  1. advanced search
  2. online link with 360 Link XML API
  3. put a label of institutional production
  4. social links and exporting features and more...

Monday, January 23, 2012

Metadata Provenance

There's a lot of talk about doing away with bibliographic records and replacing them with collections of linked data. In this scenario keeping track of the links is of vital importance. The recent paper How To Track Your Data: The Case for Cloud Computing Provenance by Olive Qing Zhang, Markus Kirchberg, Ryan K. L. Ko, and Bu Sung Lee addresses this topic.
Provenance, a meta-data describing the derivation history of data, is crucial for the uptake of cloud computing to enhance reliability, credibility, accountability, transparency, and confidentiality of digital objects in a cloud. In this paper, we survey current mechanisms that support provenance for cloud computing, we classify provenance according to its granularities encapsulating the various sets of provenance data for different use cases, and we summarize the challenges and requirements for collecting provenance in a cloud, based on which we show the gap between current approaches to requirements. Additionally, we propose our approach, DataPROVE, that aims to effectively and efficiently satisfy those challenges and requirements in cloud provenance, and to provide a provenance supplemented cloud for better integrity and safety of customers' data.