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The growth of web emerging technology and data visual demand from the World Wide Web (WWW) makes the need for information repositories become vital. Proper database development will assure the repository managing web content effectively aligns with web archive metadata standards. This paper aims to present the database design process for web archive content repository specifically to maintain social and cultural heritage values upon Malaysians as Mfigures.

The empirical process start with literature review and validation from expert on the elements and scopes of research. Then, structured database design guideline which part of database life cycle (DBLC) was applied and combined with the step of comparative and mapping the conceptual model with metadata standard that is relevant with web archive content. The paper focuses on the first three stages: Database Initial Study, web archiving and Metadata standard mapping; and conceptual design to focus on data modelling. Another two stages of database design are logical design and physical design will be exposed later.

The empirical process has produced initial conceptual data model, database structure that can be a basis of web archiving repository. The data model had also been verified with metadata data standards to assure the database structure implementation cater the need of web archiving repository features especially web information discovery.

Nevertheless, database design is the most effective way to develop good information architecture on the Net, but the absence of some important fields on related tables have been identified such as subject, language, coverage, right, publisher and contributor. The MFigures’ database schema will continuously improve for better scope and coverage of web archive content suite with future information demands on the WWW.

The conceptual data model act as a communication tool by the technical team in web application development. It can be revisited to suite with other different database management system or to suite with other similar scope of information repository requirements.

Mfigures was uniquely designed for collecting Malaysian social and cultural heritage, which are rarely design before, and it can be beneficial as Malaysia society future references for excellent motivations roles and successful stories.

The Mfigure conceptual data model was empirically design and gone through a proper validation process by the industrial and academic experts.

The purpose of this paper is to propose a method to aid design practitioners and students towards the design of additive manufactured products or parts produced using laser sintering (LS).

A design feature taxonomy was first developed as a guide for the development of a computer‐based design support tool. It comprised four taxons based on the reasons for utilising additive manufacturing (AM). These were user fit requirement, improved product functionality, parts consolidation and improvement of aesthetics or form. Each of the requirements was further expanded into 13 sub‐categories that contained examples of various design features that was then represented in the form of an MS Access database.

Results from user trials of the database provide evidence to show the potential of the database, as it enables users to easily visualise and gather information about AM design features.

The paper describes a database, the aim of which is to serve as a collective source of information for design features produced by AM and as a method to aid the conceptual design process of AM parts or products.

The proliferation of electronic databases has given rise to many practices and occurrences that pose serious threats to personal privacy. This paper argues that attention to privacy should be an integral part of the database design process, and that database designers are uniquely positioned to ensure that this happens. To motivate students to become privacy‐conscious database design professionals, computer science programs must meet the challenges of implementing an “ethics across the curriculum” methodology to integrate privacy content throughout the design thread of the introductory database course.

The emergence of online databases represents a shift from providing a physical entity, a book or an article, to the more abstract concept of providing or transferring information. The role of the database developer/analyst in that shift is that of an information retrieval ‘cataloger’ responsible for determining the access points supported by the database's contents, much as a traditional library cataloger defines, describes, and classifies the intellectual content of a book and ‘maps’ it into the library's card catalog. This is only one of the several parallels between the functions of an information retrieval service and a traditional library. For example, users ‘check‐out’ information from both, but while a circulation staff shifts the collection to accommodate growth, a retrieval service updates databases and allocates additional disk space to allow for expansion. Describing the tasks required in developing a database for online searching is the purpose of this paper. The requisite tasks for database development are: analysis, design, conversion, testing, loading, and documentation. Analysis involves a determination of file format (fixed, stream, directory) across all years of the file. Design requires understanding file content, the needs of end user, and retrieval system standards and features. Conversion is accomplished by file generation programs that convert input data into the searchable and printable fields of an online database. Testing consists of debugging the conversion program and adjusting the original design to accommodate aberrant data conditions. Loading is the creation, by the file generation programs, of disk files to be accessed by the retrieval system. Documentation is the transfer of experience and knowledge about file content and system feature from file designer to file user. The task of designing databases for an online information retrieval service requires more than data processing expertise. It also requires an intellectual understanding of the information‐seeking behavior and needs of the users of the database in general, and users in the subject area in particular. Information professionals from outside the purely EDP area are requisite to support the technical analysis, design, and development of databases for online searching. For it is upon their broad‐based understanding, translated technically into access points, database and system features that any information retrieval service bases its successful operation. Database development, then, is the hub of the wheel in such a service, much as descriptive cataloging and subject classification are the intellectual underpinning of libraries, upon which all other services are based.

To provide a selective bibliography for researchers and practitioners interested in database modeling of engineering information with sources which can help them develop engineering information systems.

Identifies the requirements for engineering information modeling and then investigates how current database models satisfy these requirements at two levels: conceptual data models and logical database models.

Presents the relationships among the conceptual data models and the logical database models for engineering information modeling viewed from database conceptual design.

Currently few papers provide comprehensive discussions about how current engineering information modeling can be supported by database technologies. This paper fills this gap. The contribution of the paper is to identify the direction of database study viewed from engineering applications and provide a guidance of information modeling for engineering design, manufacturing, and production management.

This article summarizes a study that identified and described federal information inventory/locator systems. Such locator systems provide an important means of accessing a range of government information not previously available to the public or other government officials. Overall, the study's goal was to improve access to and use of U.S. government information. The study produced a final report describing study efforts, identifying issues and conclusions, and recommending the design of an networked‐based government‐wide information inventory/locator system (GIILS) (Volume I), the Federal Locator Database (FLD) — a machine‐readable database of descriptive information on some 250 federal databases, of which fifty‐three met the study's criteria as a locator, and a user's guide to that database (Volume II includes a machine‐readable version of the database and the user guide and codebook). The study recommends that the U.S. Office of Management and Budget develop a policy framework requiring agencies to design and maintain machine‐readable locators, meeting certain requirements and standards and that these be accessible over the Internet/NREN.

This article describes the rationale behind the construction of an interactive numeric flies retrieval system, and the creation of the system (project team, project phases, data preparation, software, and hardware used). The major findings section includes comments on data problem resolution, database design and construction, interface considerations, enhanced cataloging, file transfer, standards adherence, and staff resources. The incorporation of the system into the range of services of Cornell's Mann Library is described.

To describe the evolution of a content management system at the University of Maine Library that would function as a universal, extensible metadata repository, thereby eliminating the need to build separate databases for new digital collections, and facilitating both end‐user access and the management of electronic resources in an integrated technology environment.

Beginning with the development of a prototype system that mapped EAD encoded finding aids to a relational database, this paper discusses the evolution of this prototype into the design and implementation of a RDBMS (and continuing development of an object‐oriented database management systems (OODBMS) system) to actively manage digital objects and associated metadata. The key to the system design is metadata: extracting and mapping, transforming, and managing the processing of MARC‐based metadata into non‐MARC schemes to build digital collections. Other relevant CMS architecture issues discussed are the design of a functional bibliographic structure and utilities for metadata harvesting and indexing.

Provides information on the use of the Dublin Core Abstract Model and a flexible and adaptable collection‐centric approach in the overall CMS architecture as implemented on a non‐MARC RDBMS, and provides an explanation of the advantages of an object oriented database system over the complexity of evolving relational database tables.

A useful source for the development of an in‐house CMS, and a contribution to the growing body of literature about the transformation of MARC‐based metadata for database design.

This paper is a case study of actual work conducted at the University of Maine Library. The RDBMS manages digital collections; the OODBMS manages digital video and other multimedia resources.

The effective management and reuse of knowledge in the early product development supports the early identification of high potential technologies, reduces barriers of accessing them and ensures technology leadership. Until now, technology databases were only a means of communicating knowledge on innovations. The purpose of this study is to analyse the design of technology databases with a processual integration into research and development. It is a concept for companies to collaboratively and effectively develop and adapt innovative technologies.

In the Design4Energy project, an interdisciplinary, inter-divisional project team, including information and communications technology managers, engineers and energy experts, developed an architectural concept and use cases of a system to integrate the technology life cycle into the building creation process. Eventually, the stakeholders evaluated the system in industrial applications.

This research reveals that the developed system supports the collaboration between professionals in the design stage. Along the development and implementation of the system, the main success factors result in four design principles: effective and efficient design, basic functionalities supporting technology adaption, interoperability and integration into the processes and organization.

The results deal with the interoperability in early phases of product development and guide through the methodological design of technology databases. Transparent design requirements based on real case learnings increase system applicability and data consistency.

The work guides the methodology, process integration and IT architecture of technology databases, which literature does not provide. Thus, it leads to decision reliability in technology management and implies the success factors for living databases.