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Provenance information is crucial for consistent maintenance of metadata schemas over time. The purpose of this paper is to propose a provenance model named DSP-PROV to keep track of structural changes of metadata schemas.

The DSP-PROV model is developed through applying the general provenance description standard PROV of the World Wide Web Consortium to the Dublin Core Application Profile. Metadata Application Profile of Digital Public Library of America is selected as a case study to apply the DSP-PROV model. Finally, this paper evaluates the proposed model by comparison between formal provenance description in DSP-PROV and semi-formal change log description in English.

Formal provenance description in the DSP-PROV model has advantages over semi-formal provenance description in English to keep metadata schemas consistent over time.

The DSP-PROV model is applicable to keep track of the structural changes of metadata schema over time. Provenance description of other features of metadata schema such as vocabulary and encoding syntax are not covered.

This study proposes a simple model for provenance description of structural features of metadata schemas based on a few standards widely accepted on the Web and shows the advantage of the proposed model to conventional semi-formal provenance description.

Multiple studies have illustrated that the needs of various users seeking descriptive bibliographic data for pop culture resources (e.g. manga, anime, video games) have not been properly met by cultural heritage institutions and traditional models. With a focus on manga as the central resource, the purpose of this paper is to address these issues to better meet user needs.

Based on an analysis of existing bibliographic metadata, this paper proposes a unique bibliographic hierarchy for manga that is also extendable to other pop culture sources. To better meet user requirements of descriptive data, an aggregation-based approach relying on the Object Reuse and Exchange-Open Archives Initiative (OAI-ORE) model utilized existing, fan-created data on the web.

The proposed hierarchy is better able to portray multiple entities of manga as they exist across data providers compared to existing models, while the utilization of OAI-ORE-based aggregation to build and provide bibliographic metadata for said hierarchy resulted in levels of description that more adequately meet user demands.

Though studies have proposed alternative models for resources like games or comics, manga has remained unexamined. As manga is a major component of many popular multimedia franchises, a focus here with the intention while building the model to support other resource types provides a foundation for future work seeking to incorporate these resources.

The purpose of this paper is to examine the characteristics of managing records in a cloud computing environment and compare these with existing archiving models, exemplified by the open archival information system (OAIS) reference model.

The authors compare the functional entities in OAIS with a layered model of cloud computing, in which services are abstracted and shared between layers.

It is concluded that there are a number of areas where OAIS does not integrate well with cloud computing systems. Based on the findings, a new layered model for a cloud archiving system is defined using the concepts and information types from the OAIS reference model. The proposed model allows the sharing of functionality and information objects by making them available as services to higher layers. The model covers the entire document lifecycle, making archive functionality such as preservation planning possible at an early stage and helping to simplify records transfer.

The model provides a simple, OAIS compatible approach to representing how digital objects and necessary metadata can be transferred from content creation systems to archives systems.

Whereas a lot of research has been done on the technical aspects of cloud storage, there is a lack of focus on how to comprehensively integrate records transfer and preservation in cloud systems. This paper fills in some of the gaps.

The long‐term preservation of digital resources is one of the most important issues facing the library community. In particular, libraries need a preservation strategy for digital objects, since digitization alone provides access but not preservation. The digital library community is also focusing on the problem of designing and implementing long‐term archives or repositories. Digital repository management includes the development and enforcement of policies for tasks such as managing access to collection contents and preserving items in the collection. Comprehensive standards and best practices are currently starting to emerge, and ongoing work has deepened the understanding of the needs and requirements that must be met to carry out effective digital preservation. One of these requirements is the creation and maintenance of metadata in support of the preservation process. This paper would like to share findings from earlier and ongoing work that serve as “groundwork” for the current directions leading to the idea of making metadata a more useful and powerful tool to contribute to the technical solution of digital preservation.

Bibliographic records should now be used in innovative end-user applications that enable users to learn about, discover and exploit available content, and this information should be interpreted and reused also beyond the library domain. New conceptual models such as FRBR offer the foundation for such developments. The main motivation for this research is to contribute to the adoption of the FRBR model in future bibliographic standards and systems, by analysing limitations in existing bibliographic information and looking for short- and long-term solutions that can improve the data quality in terms of expressing the FRBR model.

MARC records in three collections (BIBSYS catalogue, Slovenian National Bibliography and BTJ catalogue) were first analysed by looking at statistics of field and subfield usage to determine common patterns that express FRBR. Based on this, different rules for interpreting the information were developed. Finally typical problems/errors found in MARC records were analysed.

Different types of FRBR entity-relationship structures that typically can be found in bibliographic records are identified. Problems related to interpreting these from bibliographic records are analyzed. Frbrisation of consistent and complete MARC records is relatively successful, particularly if all entities are systematically described and relationships among them are clearly indicated.

Advanced matching was not used for clustering of identical entities.

Cataloguing guidelines are proposed to enable better frbrisation of MARC records in the interim period, before new formats are developed and implemented.

This is the first in depth analysis of manifestations embodying several expressions and of works and agents as subjects.