Marcia Lei Zeng et Jian Qin, Metadata, New-York: Neal-Schuman, 2008 (ISBN: 9781555706357).

> le livre

> le site (textes, exercices)

Via Cataloging Futures

En 30 minutes et 130 slides (source: eFoundations, 18/07/08).

| View | Upload your own

Au menu du dernier D-Lib Magazine (vol. 14, n° 7/8, juillet-août 08):

- Copyright Renewal, Copyright Restoration, and the Difficulty of Determining Copyright Status
It has long been assumed that most of the works published from 1923 to 1964 in the US are currently in the public domain. Both non-profit and commercial digital libraries have dreamed of making this material available. Most programs have recognized as well that the restoration of US copyright in foreign works in 1996 has made it impossible for them to offer to the public the full text of most foreign works. What has been overlooked up to now is the difficulty that copyright restoration has created for anyone trying to determine if a work published in the United States is still protected by copyright. This paper discusses the impact that copyright restoration of foreign works has had on US copyright status investigations, and offers some new steps that users must follow in order to investigate the copyright status in the US of any work. It argues that copyright restoration has made it almost impossible to determine with certainty whether a book published in the United States after 1922 and before 1964 is in the public domain. Digital libraries that wish to offer books from this period do so at some risk.

- Battle of the Buzzwords: Flexibility vs. Interoperability When Implementing PREMIS in METS
The PREMIS Data Dictionary for Preservation Metadata1 specifies the information that a repository needs to maintain for the long-term preservation of digital objects. Many institutions use the Metadata Encoding and Transmission Standard (METS) to implement metadata in digital library applications. Since an important goal is the exchange of objects with their associated metadata between repositories, many implementers of PREMIS are looking at METS as a container to include PREMIS metadata along with other information about and links to the digital objects. To do this, the ambiguities in using PREMIS with METS need to be clarified in a set of guidelines.

- A Format for Digital Preservation of Images: A Study on JPEG 2000 File Robustness
Digital preservation requires a strategy for the storage of large quantities of data, which increases dramatically when dealing with high resolution images. Typically, decision-makers must choose whether to keep terabytes of images in their original TIFF format or compress them. This can be a very difficult decision: to lose visual information though compression could be a waste of the money expended in the creation of the digital assets; however, by choosing to compress, the costs of storage will be reduced. Wavelet compression of JPEG 2000 produces a high quality image: it is an acceptable alternative to TIFF and a good strategy for the storage of large image assets.

- Researcher Profiles and Portfolios: Use Cases of the Facebook Service and the University of Queensland Researchers Service
The University of Queensland (UQ) maintains an online research profiling system, UQ Researchers,1 to showcase the expertise of its academic staff and postgraduate students. The site makes available detailed research profiles and evidence of expertise at various levels. It incorporates school, institute and centre research profiles, CV-type profiles for individual researchers, research project and publication details, and details of available research facilities. External users can search for topical areas and seek opportunities for research collaboration. The service is often used internationally by aspiring research higher degree students who are seeking to identify institutions or individual academics with research strength in their chosen area of study. The UQ Researchers site provides access not only to the expertise and experience of individual researchers but also to that of research groups across the University. Participation in the service is currently optional. There is no mandate for inclusion. [...]

Automatic Metadata Generation using Associative Networks
(pre-print de Marko A. Rodriguez, Johan Bollen, Herbert Van de Sompel soumis à publication le 30/06/08)

In spite of its tremendous value, metadata is generally sparse and incomplete, thereby hampering the effectiveness of digital information services. Many of the existing mechanisms for the automated creation of metadata rely primarily on content analysis which can be costly and inefficient. The automatic metadata generation system proposed in this article leverages resource relationships generated from existing metadata as a medium for propagation from metadata-rich to metadata-poor resources. Because of its independence from content analysis, it can be applied to a wide variety of resource media types and is shown to be computationally inexpensive. The proposed method operates through two distinct phases. Occurrence and co-occurrence algorithms first generate an associative network of repository resources leveraging existing repository metadata. Second, using the associative network as a substrate, metadata associated with metadata-rich resources is propagated to metadata-poor resources by means of a discrete-form spreading activation algorithm. This article discusses the general framework for building associative networks, an algorithm for disseminating metadata through such networks, and the results of an experiment and validation of the proposed method using a standard bibliographic dataset.

Déposé sur arXiv

Nine questions to guide you in choosing a metadata schema
(source: Journal of Digital Information, vol. 9, n° 26, 2008)

This article is a guide for collection developers at the point of considering a metadata schema for their digital collection. The nine questions asked in this article will assist a developer in clarifying how he wants the collection to be organized, described, and used. This article uses examples to illustrate how these questions guided the development of a digital collection built at the University of Southern California.

Metadata for Learning Resources: An Update on Standards Activity for 2008

1. LOM Next: plans for the next version of the IEEE LOM.
2. The Joint DCMI/IEEE LTSC (Learning Technology Standards Committee) Taskforce: bringing together the two major metadata standards used for learning resources, and providing an RDF translation for the LOM.
3. DC-Education Application Profile (DC-Ed AP): a modular application profile purely looking at educational aspects of resources, based on community requirements.
4. The United Kingdom’s Joint Information Systems Committee Learning Materials Application Profile (JISC LMAP) scoping study: working alongside a number of similar projects looking at application profiles for repositories in other areas, e.g. images.
5. International Standards Organisation Metadata for Learning Resources (ISO MLR): based primarily in Canada, this international standards body is devising a new international standard for educational metadata, in response to perceived limitations of the IEEE LOM.
6. The European Commission’s PROLEARN Harmonisation of Metadata project: a study into the issues and challenges of achieving harmonisation in metadata, given the heterogeneous landscape.

Source: Ariadne, n° 55, avr. 08

textMD est un schéma de métadonnées qui décrit des objets qui proviennent de la numérisation de textes.

Peut être utilisé indépendamment d'autres formats ou être intégré dans les métadonnées "administratives" de METS (et prochainement dans PREMIS aussi).

Via Cataloging Futures

Metadata for Digital Libraries: State of the Art and Future Directions (pdf) (source: JISC)

An overall framework for a digital object's metadata can be provided by either METS or DIDL, although the wider acceptance of the former within the library community makes it the preferred choice. Descriptive metadata can be handled by either Dublin Core or the more sophisticated MODS standard. Technical metadata, which is contingent on the type of files that make up a digital object, is covered by such standards as MIX (still images), AUDIOMD (audio files), VIDEOMD or PBCORE (video) and TEI Headers (texts). Rights management may be handled by the METS Rights schema or by more complex schemes such as XrML or ODRL. Preservation metadata is best handled by the four schemas that make up the PREMIS standard.

Via DigitalKoans

ANZSRC (Australia and New Zealand Standard Research Classification): il s'agit d'une nouvelle classification pour les domaines de la recherche utilisée en Australie et en Nouvelle-Zélande.

Via liste JISC-Repositories (31/03/08)

Alternative File Formats for Storing Master Images of Digitisation Projects (pdf)
(source: Koninklijke Bibliotheek, Pays-Bas, mars 08)

This in-depth study by the Research and Development Department of the Koninklijke Bibliotheek (National Library of the Netherlands) found that the best alternatives for master digital images to uncompressed TIF files were JPEG 2000 lossless (53% storage savings) and PNG (40% storage savings). When the master digital image is also the distribution file, JPEG 2000 lossy and JPEG with greater compression were the best formats.

Via Current Cites (01/04/08)