ESciDoc Logical Data Model
Status: In PROGRESS
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Introduction[edit]
Understanding the structure and the nature of the data is essential for the ability to meet the requirements of managing various type of content within an eSciDoc repository. Therefore the eSciDoc logical data model was developed to enable on one hand side implementation of core data services based on high-level abstractions, and on the other hand side to allow for further specialization of data and further implementation of specialized services. This page may be used as a starting point for understanding the eSciDoc data structures. The eSciDoc manages two general categories of data:
- Resources (content resources) - the content of the repository such as: articles, book, images, image albums, scanned manuscripts, pages etc.
- MasterData - additional classes of data that are used for management of Resources such as: organizational units, contexts.
A simple delineation between these two data categories may be stated in the following manner: resources are the real content that can be further extended, shared and preserved. Master data are used for content (i.e. resource) administration and as referenced entities of importance. Master data can also be referenced by objects outside of the core eSciDoc repository.
Content resources are defined by two generic object patterns: Item and Container.
- An Item resource consists of metadata records (e.g. eSciDoc publication metadata, SISIS MAB record, MODS record, Dublin Core record) and optionally of components that represent the actual content (e.g. PDF file, JPEG file, XML file).
- A Container resource is an aggregation of other resources that allows for aggregating other items or containers. Like the Item resource, Container can be described by multiple metadata records.
Each resource (Item or Container) is maintained in a single administrative Context. Contexts are responsibility of organizations (e.g. on or more a project groups, institutions etc.). Organizations responsibly for contexts are define the settings within the context (by the mechanism of so called Admin Descriptor) in accordance with their needs to express rules for content creation, update, quality assurance of the metadata, dissemination, preservation, authorization policies, submission policies, etc.
Data model explained[edit]
- Item
- Container
- Context
- Organizational unit