Data Dictionary System Research Articles

Design and Implementation of a Medical Device Data Dictionary System Based on Software Engineering Theory

Design and Implementation of a Medical Device Data Dictionary System Based on Software Engineering Theory

Development of an informatics system for accelerating biomedical research.

The Biomedical Research Informatics Computing System (BRICS) was developed to support multiple disease-focused research programs. Seven service modules are integrated together to provide a collaborative and extensible web-based environment. The modules-Data Dictionary, Account Management, Query Tool, Protocol and Form Research Management System, Meta Study, Data Repository and Globally Unique Identifier -facilitate the management of research protocols, to submit, process, curate, access and store clinical, imaging, and derived genomics data within the associated data repositories. Multiple instances of BRICS are deployed to support various biomedical research communities focused on accelerating discoveries for rare diseases, Traumatic Brain Injury, Parkinson's Disease, inherited eye diseases and symptom science research. No Personally Identifiable Information is stored within the data repositories. Digital Object Identifiers are associated with the research studies. Reusability of biomedical data is enhanced by Common Data Elements (CDEs) which enable systematic collection, analysis and sharing of data. The use of CDEs with a service-oriented informatics architecture enabled the development of disease-specific repositories that support hypothesis-based biomedical research.

Development of an informatics system for accelerating biomedical research.

Biomedical translational research can benefit from informatics system that support the confidentiality, integrity and accessibility of data. Such systems require functional capabilities for researchers to securely submit data to designated biomedical repositories. Reusability of data is enhanced by the availability functional capabilities that ensure confidentiality, integrity and access of data. A biomedical research system was developed by combining common data element methodology with a service-oriented architecture to support multiple disease focused research programs. Seven service modules are integrated together to provide a collaborative and extensible web-based environment. The modules - Data Dictionary, Account Management, Query Tool, Protocol and Form Research Management System, Meta Study, Repository Manager and globally unique identifier (GUID) facilitate the management of research protocols, submitting and curating data (clinical, imaging, and derived genomics) within the associated data repositories. No personally identifiable information is stored within the repositories. Data is made findable by use of digital object identifiers that are associated with the research studies. Reuse of data is possible by searching through volumes of aggregated research data across multiple studies. The application of common data element(s) methodology for development of content-based repositories leads to increase in data interoperability that can further hypothesis-based biomedical research.

Development of community health service-oriented computer-assisted information system for diagnosis and treatment of respiratory diseases

<h3>Objective</h3> Community health services are an emerging trend. We have found in practice that diagnosis and treatment of respiratory diseases in the community are distinct. The respiratory department’s daily work involves a number of outpatient registration items and a vast workload. The routine manual operation is inefficient and it is not convenient to make effective statistical analysis of the outpatient data to identify the risk factors closely related to diseases. Therefore, it is imperative to process the outpatient information of patients with respiratory diseases effectively and efficiently in a unified manner by means of computer technology. <h3>Methods</h3> The design and realization of the <b><i>C</i></b>ommunity <b><i>H</i></b>ealth <b><i>S</i></b>ervice-oriented computer-assisted Information System for <b><i>D</i></b>iagnosis and <b><i>T</i></b>reatment of <b><i>R</i></b>espiratory <b><i>D</i></b>iseases (CHS-DTRD) was completed as part of the community intervention study on bronchial asthma that was carried out jointly by the Nanjing First Hospital Affiliated to Nanjing Medical University and the Hospital of Nanjing University of Science &amp; Technology, and based on 2 years of experience and the needs of an overall analysis. <h3>Results</h3> The computer-assisted information system for diagnosis and treatment was developed using Java Server Page (JSP) technology and introducing the advanced Asynchronous JavaScript XML (AJAX) technique and MS-SQL Server was used in the background database. CHS-DTRD was composed of eight functional modules (outpatient data maintenance, outpatient appointment, intelligent analysis for disease risk factors, query and statistics, data dictionary maintenance, database manipulation, access control, and system configuration). CHS-DTRD featured a friendly interface, convenient operation, and stability and reliability. <h3>Conclusion</h3> Community health-oriented diagnosis and treatment of respiratory diseases is simple, programmable, and intuitive, thus the workload of physicians is significantly reduced and the work efficiency is improved. This system facilitates an intelligent analysis of disease risk factors using data mining technology, and provides physicians with suggestions on intelligent analysis for diagnosis of disease and conclusion of disease causes.

Use of metadata to drive the interaction between database and expert systems

Data as a resource in information processing environments is well known, but only recently has the computing community recognized the role of metadata, i.e. data about data. In particular, Data Dictionary Systems, (DDSs), whose main purpose is metadata management, are seen as essential for successful data processing. The artificial intelligence community also recognises this in meta knowledge. A system call Difead (Dictionary interface for expert systems and databases) is described that uses metadata stored in an active DDS to couple expert systems and databases. The prototype is being evaluated on an application that couples two medical expert systems with a relational clinical database.

Validation of Database Management System Applications for Clinical Trials

This article deals with the organization, methodology, and documentation for user-written mainframe database management system (DBMS) application programs for clinical trials. Validation is defined as a quality-building process, not an error-finding process. Both functional and structural approaches to unit testing are covered. Important differences between DBMS application programs and computational programs and their impact on validation are presented. Validation methodology is presented for data dictionary, data entry, data retrieval, and Statistical Analysis System (SAS) interface, report writing, and security applications. Computer simulation methods, batch versions of interactive programs-independent SAS listings, and shortcuts facilitated by features of certain DBMSs are presented. Recommendations are made to DBMS vendors for needed validation tools.

Data dictionary systems and their application in auditing

Data dictionaries (DD) hold information about data held by an organization. The most important features of DDs to an auditor are security and reporting. DDs can be difficult to compare as there is no agreed standard for their design. One company had problems in finding a suitable DD and implementing it.

Role of data dictionaries in information resource management

The role of information resource dictionary systems (data dictionary systems) is important in two important phases of information resource management: First, information requirements analysis and specification, which is a complex activity requiring data dictionary support: the end result is the specification of an “Enterprise Model,” which embodies the major activities, processes, information flows, organizational constraints, and concepts. This role is examined in detail after analyzing the existing approaches to requirements analysis and specification. Second, information modeling which uses the information in the Enterprise Model to construct a formal implementation independent database specification: several information models and support tools that may aid in transforming the initial requirements into the final logical database design are examined. The metadata — knowledge about both data and processes — contained in the data dictionary can be used to provide views of data for the specialized tools that make up the database design workbench. The role of data dictionary systems in the integration of tools is discussed.

An Environmentally Dependent Framework for Data Dictionary Systems

Data dictionary systems traditionally have been analyzed and compared against idealized standards that are independent of both the special requirements of the organization and the environment in which they will be used. This has resulted in the selection of data dictionary systems that appear to be the best product in terms of the features offered, but which may not be the most effective alternative for meeting the needs of the organization or supporting its data administration effort. This article presents a new framework for analyzing data dictionary systems that encompasses environmental dependencies and organizational requirements. Also described is a structured methodology for selecting a data dictionary system based on this framework. This methodology is then applied to a bank holding company example.

A Data Dictionary for Learning Data Analysis

A data dictionary system, DADICS, was conceived and developed as an online activity for students of an OU data analysis course. The system holds a highly structured knowledge base of facts about a number of conceptual data models, corresponding modelling rules, and the user's session state. These all form a semantic network of sentences, each with a subject, verb, and one or several objects. By simple commands the user may: choose a model representation – eg entities, attributes and relationships; select a local or global model; and list as sentences the relevant facts about any element. Alternatively he may update a model, insert facts as discovered, and command the system to highlight inconsistencies. The implementation is a relatively short general-purpose Pascal program that interprets the stored facts to determine what is required.

Integrating database and program descriptions using an ER-Data dictionary

Most commercially available data dictionary systems are stand-alone solutions geared for use with a particular database management system. In order to effectively control the data resource, a data dictionary system should provide direct interfaces to other software, however. In particular, interfaces to different data management systems and the possibility to describe the usage of data in application programs should be supported. However, the integration of data dictionary systems and programming language compilers has been neglected, so far. Today, program descriptions must be entered separately and in special data dictionary formats. Instead, data dictionaries should be populated directly from the source code being compiled, so that the correctness of dictionary data is ensured. A binary ER model is proposed for the representation of dictionary data and schemas which deal with data and program descriptions are developed.

ID: An intelligent information dictionary system

An information-oriented data dictionary describes the characteristics of the information represented in another (or “object”) database. Such description is different from that obtained by use of conventional data dictionary systems which produce primarily descriptions of the structural characteristics of the database. Information-oriented properties of data are related to the semantics of the database, i.e., the real world entities represented by data objects and their meaningful properties ( as defined by the database developer). This paper also presents a conceptual design approach and a database architecture for ID, an intelligent information-oriented dictionary system. This architecture is presented in terms of ER model constructs.

A user-oriented framework for data dictionary systems

Data dictionary systems traditionally have been analyzed and compared against idealized standards that are independent of both the special requirements of the organization and the environment in which they will be used. This has resulted in the selection of data dictionary systems that appear to be the best product in terms of the features offered but which may not be the most effective alternative for meeting the needs of the organization. This paper presents a new framework, called an environmentally dependent framework, for analyzing data dictionary systems that encompasses the most critical environmental dependencies and organizational requirements. In addition, a structured methodology which is based on this framework for selecting a data dictionary system is described.

The Data Dictionary: An Evaluation from the EDP Audit Perspective

The data dictionary system is a documentation source that is useful for management reviews of existing and proposed systems, EDP audits, and system development functions. Early data dictionary systems had limitations that reduced their effectiveness and contributed to their limited usage. Many of these limitations have been or are being resolved with the result that evolving data dictionary systems offer many benefits to management and EDP auditors. This article evaluates the features, potential benefits, and limitations of data dictionary systems from the perspective of the EDP auditor.

A Survey Of Some Automated Aids For Systems Analysis And Documentation†

A comparison of some automated systems analysis and documentation aids is presented. In particular, the following systems are compared: ISAP, IBM’S DB/DC Data Dictionary System, SAMMDF, PSL/PSA, and SREM. The criteria for comparison are discussed first. A discussion of each aid is then given, and each is compared and evaluated with respect to the comparison criteria.

New Products

MSP Inc. has added an IMS/DC interface for its Datamanager data dictionary system.

The British Computer Society Data Dictionary Systems Working Party report

article Free Access Share on The British Computer Society Data Dictionary Systems Working Party report Author: The Data Dictionary Systems Working Party View Profile Authors Info & Claims ACM SIGMOD RecordVolume 9Issue 4December 1977 pp 2–24https://doi.org/10.1145/1017814.1017610Published:01 September 1977Publication History 11citation802DownloadsMetricsTotal Citations11Total Downloads802Last 12 Months6Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my Alerts New Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF

The British Computer Society Data Dictionary Systems Working Party report

article Free Access Share on The British Computer Society Data Dictionary Systems Working Party report Author: The Data Dictionary Systems Working Party View Profile Authors Info & Claims ACM SIGMIS Database: the DATABASE for Advances in Information SystemsVolume 9Issue 2Fall 1977 pp 2–24https://doi.org/10.1145/1017609.1017610Online:01 September 1977Publication History 3citation793DownloadsMetricsTotal Citations3Total Downloads793Last 12 Months5Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF