Showing papers on "Data management published in 1996"

System and method for managing patient medical records

Abstract: A system and method for managing patient medical information to facilitate data management and improve physician access to and recordal of examination data is described. The method comprises a computer aided process including the steps of scheduling appointments, entering and displaying data to a physician, updating the patient data with progress notes concurrently with an examination, displaying allergy warnings and recording a diagnosis based on the progress notes. A common graphic user interface is also disclosed to facilitate operation of the preferred system and method. The system and method are implemented with a relational database operating on data tables which store information input into the user interface.

Data management system having shared libraries

Abstract: A design control system suitable for use in connection with the design of integrated circuits and other elements of manufacture having many parts which need to be developed in a concurrent engineering environment with inputs provided by users and or systems which may be located anywhere in the world providing a set of control information for coordinating movement of the design information through development and to release while providing dynamic tracking of the status of elements of the bills of materials in an integrated and coordinated activity control system utilizing a repository which can be implemented in the form of a database (relational, object oriented, etc.) or using a flat file system. Once a model is created and/or identified by control information design libraries hold the actual pieces of the design under control of the system without limit to the number of libraries, and providing for tracking and hierarchical designs which are allowed to traverse through multiple libraries. Data Managers become part of the design team, and libraries are programmable to meet the needs of the design group they service.

Facilities Management: Theory and Practice

Abstract: Foreword. Preface. Facilities management. Organization and management. Facilities management skills. Professional practice. Total quality management. Value management. Risk management. Building performance. Environmental management. Information management. Support services. Project management. Index.

Data management system and process

Abstract: A design control system suitable for use in connection with the design of integrated circuits and other elements of manufacture having many parts which need to be developed in a concurrent engineering environment with inputs provided by users and or systems which may be located anywhere in the world provides a set of control information for coordinating movement of the design information through development and to release while providing dynamic tracking of the status of elements of the bills of materials in an integrated and coordinated activity control system utilizing a repository which can be implemented in the form of a database (relational, object oriented, etc.) or using a flat file system. Once a model is created and/or identified by control information design libraries hold the actual pieces of the design under control of the system without limit to the number of libraries, and providing for tracking and hierarchical designs which are allowed to traverse through multiple libraries. Data Managers become part of the design team, and libraries are programmable to meet the needs of the design group they service.

Data management system for concurrent engineering

Abstract: A data management system for file and database management including a design control system suitable for use in connection with the design of integrated circuits and other elements of manufacture having many parts which need to be developed in a concurrent engineering environment with inputs provided by users and or systems which may be located anywhere in the world providing a set of control information for coordinating movement of the design information through development and to release while providing dynamic tracking of the status of elements of the bills of materials in an integrated and coordinated activity control system utilizing a control repository which can be implemented in the form of a database (relational, object oriented, etc.) or using a flat file system. Once a model is created and/or identified by control information design libraries hold the actual pieces of the design under control of the system without limit to the number of libraries, and providing for tracking and hierarchical designs which are allowed to traverse through multiple libraries. Data Managers become part of the design team, and libraries are programmable to meet the needs of the design group they service. A control repository communicates with users of the design control system for fulfilling requests of a user and with data repositories of said data management control system through a plurality of managers. Each manager performs a unique function. Managers act as building blocks which can be combined in a plurality of manners to support an environment for suitable for multiple users of a user community.

Drug document production system

Abstract: A document production system is provided for preparing documents and managing a database of information pertaining to investigational studies of medical products. The document production system includes a data management user interface for providing user access to the database and for retrieving information from the database as specified by selected document templates for placement into word processor-compatible documents. Additionally, the data management user interface is capable of updating information stored within the database in accordance with information specified within a previously-prepared document.

Data management control system for file and database

Abstract: A design control system suitable for use in connection with the design of integrated circuits and other elements of manufacture having many parts which need to be developed in a concurrent engineering environment with inputs provided by users and or systems which may be located anywhere in the world providing a set of control information for coordinating movement of the design information through development and to release while providing dynamic tracking of the status of elements of the bills of materials in an integrated and coordinated activity control system utilizing a repository which can be implemented in the form of a database (relational, object oriented, etc.) or using a flat file system. Once a model is created and/or identified by control information design libraries hold the actual pieces of the design under control of the system without limit to the number of libraries, and providing for tracking and hierarchical designs which are allowed to traverse through multiple libraries. Data Managers become part of the design team, and libraries are programmable to meet the needs of the design group they service.

Data management system

Abstract: A portable computer system manages data conveniently for a user. The system has a processor, a program storage device coupled to the processor, an input recognizer adapted to receive non-cursive handwritings from the user and to convert the handwriting to data, and a computer readable code embodied in the program storage device for storing and processing the data.

Management : building competitive advantage

Abstract: Part 1 Foundations of management: managers and organizations the evolution of management the external environment managerial decision making Part 2 Planning and strategy: planning and strategic management ethics, corporate social responsibility and the political environment managing in our natural environment international management managing new ventures Part 3 Organizing and staffing: organization structure the responsive organization human resources management managing the diverse work force Part 4 Leading: leadership motivating for performance managing teams communicating Part 5 Control and change: organization control operations management managing technology and innovation becoming world class

Data storage subsystem with block based data management

Abstract: The block based data storage subsystem combines the functions of data storage/retrieval with block based data management functions, including but not limited to: Hierarchical Storage Management (HSM), Live Data Backup, Fault Tolerance, Capacity Planning, Performance Optimization and Dynamic Load Balancing. This system solves many storage management problems with a single technology and is completely independent from, and non intrusive to, the system it attaches to and has resources specifically designed to perform data management functions. The perspective of block data management is a much finer granularity and much simpler than existing data file based technologies.

STEP for Data Management Exchange and Sharing

Abstract: test suites (Parts 301...) Conformance testing (Parts 31-39) Application protocols (Parts 201...) Application interpreted constructs (Parts 501...) Integrated resources Description methods (Parts 11-19) Implementation forms (Parts 21-29) Generic resources (Parts 41...) Application resources (Parts 101...) Figure 12: the STEP document structure Description methods The scope of the description methods class is that of the languages and methods used to create standard representations of product data. The description methods have been allocated part numbers between 11 and 19. To date, three parts have been identified within the description methods class: • Part 11: “The EXPRESS language reference manual”; • Part 12: “The EXPRESS-I language reference manual”; • Part 13: “Architecture and methodology reference manual”. Part 11 is included within the initial release of STEP. The structure and content of STEP 55 One of the key objectives of STEP is to provide unambiguous, computerinterpretable representation of product data. This is supported through the use of the EXPRESS language. EXPRESS is a data specification language that is used to represent the structure of data and any constraints that may apply to it. The data models contained in the STEP Integrated Resources and Application Protocols are defined using EXPRESS. Although EXPRESS resembles some programming languages, it cannot be used to define executable programs; rather, it is used to define the data on which programs operate. EXPRESS supports: • the definition of data entities, attributes, and relationships; • the specification of local and global constraints on these; • the collection of data definitions and constraints in separate schemas, supporting modular development of data models. Although EXPRESS has been developed as part of STEP, it is now widely used in other standardization, research, and integration projects. Further information about the EXPRESS language is given in Appendix B; Chapter 10 includes a summary of some of the software tools that are available to work with EXPRESS. The second STEP part in the description methods class is EXPRESS-I. This is a standard data instance definition language, ie. it may be used to specify actual values within an EXPRESS schema. EXPRESS-I is particularly useful in the specification of test data. Part 13 of the standard describes the detailed structure of STEP and the methods used to develop its various elements. It is intended to provide a definitive statement of the STEP architecture and methods, to enable the application of the methodology, and to serve as a basis for training. A summary of the STEP architecture and methodology is given in Appendix A of this book. Implementation forms One of the key differences between STEP and previous standards in the areas of CAD/CAM data exchange or data management is the separation of data definition from implementation. Thus within STEP the data models defined in the standard are designed to be independent from the various ways in which they may be implemented. The implementation forms class of parts defines standard 56 STEP for data management, exchange and sharing formats for data instances and values, and the mappings between these formats and the EXPRESS language. The implementation forms have been allocated part numbers between 21 and 29. To date, five parts have been identified within the implementation forms class. The most important of these are: • Part 21: “Clear text encoding of the exchange structure” defines the standard format for encoding of data in a file, and supports the exchange of data between applications. • Part 22: “Standard data access interface” enables access to product data within an application (an “engineering” application or a database management system) independently of the internal form of data storage within the application. Part 21 (commonly referred to as the “physical file” format) is part of the initial release of STEP. As well as Part 22 (commonly referred to as the “SDAI”), several additional parts within the implementation forms class define the bindings between the SDAI and specific programming languages including C, C++ and FORTRAN. An implementation form is not sufficient to define the complete requirements for a conforming implementation of STEP; in addition, a data model is required that defines the structure and semantics of the data to be handled by the implementation. Within the architecture of STEP, these data models are provided within Application Protocols, as described below. An implementation of STEP combines an Application Protocol with an Implementation Form; thus, the same data model is used (for example) for exchange of engineering drawings using files (on disc or tape) or for standard access to drawings within a database. Chapter 6 provides additional information on implementation forms, and their place within the implementation architecture of STEP. Integrated resources In Chapter 3, the idea of a conceptual data model was introduced. Within STEP, a single conceptual data model has been developed that reflects and supports the common requirements of many different product data application areas. This conceptual data model is modular in nature, and is published within the Integrated Resources class of parts. Even though the Integrated Resources are documented as a number of separate parts, the data model that they contain logically constitutes a single, integrated conceptual product data model. The structure and content of STEP 57 For the purposes of publication, Integrated Resources are divided into two separate series of parts: • the integrated generic resources (Parts 41...99) define the components of the conceptual product data model that are independent of applications; for example, Part 42 “Geometric and topological representation” defines the standard representations for the shapes of objects, independent of any specific use of the shape information; • the integrated application resources (Parts 101...199) extend the generic resources to support the needs of specific groups of applications; for example, Part 101 “Draughting” defines the common data requirements of all applications that incorporate or make use of engineering drawings. The Integrated Resources provide the developers of STEP Application Protocols with standard definitions of product data; they are not themselves intended for direct implementation. In this respect they may be loosely compared to a collection of library routines used by programmers: Integrated Resources define reusable components that are intended to be combined and refined (within an Application Protocol) to meet a specific need. Six parts in the integrated resources series are included in the initial release of STEP: • Part 41 “Fundamentals of product description and support”; • Part 42 “Geometric and topological representation”; • Part 43 “Representation structures”; • Part 44 “Product structure configuration”; • Part 46 “Visual presentation”; • Part 101 “Draughting”. Several other Integrated Resource parts have been developed for later publication, as required to fulfil the requirements of new Application Protocols. 58 STEP for data management, exchange and sharing Application protocols By far the largest, and in many senses the most important class of parts is the Application Protocols class. Application Protocols are numbered from part 201 onwards; two Application Protocols are included in the initial release of STEP: • Part 201: Explicit draughting; • Part 203: Configuration controlled design. Many others are being developed for later publication. Application Protocols define and fulfil the requirements of an identified application of product data related to a specific industry need. This should be contrasted with the generic, application-independent nature of the Integrated Resources. It is noted above that Part 42 of STEP defines standard representations of geometry: an Application Protocol will, for example, define how these representations are used to exchange the designed shape of the wing of an aeroplane, or the inservice shape of the hull of a ship, or the shape of the access area around a pump within a petro-chemical plant. These are examples of uses of shape that may be supported by appropriately designed Application Protocols. Part 1 of STEP defines an Application Protocol as: “a part ... (of ISO 10303) ... that describes the use of integrated resources satisfying the scope and information requirements for a specific application context.” This definition highlights a key characteristic of Application Protocols: they are uses of the STEP Integrated Resources, but do not extend the data model defined in the Integrated Resources. This characteristic ensures a high degree of uniformity across different Application Protocols, ensuring that common or similar requirements are satisfied using a common or similar solution. The role of an Application Protocol is to provide the basis for implementations of STEP, and to enable the assessment of conformance of implementations. As noted in Chapter 2, Application Protocols were introduced into IGES as a mechanism for defining controlled, meaningful subsets within the standard. STEP has extended and refined this concept considerably, and the development of STEP is now focused on the development of Application Protocols to meet the requirements of a wide range of industry sectors and application areas. The structure and content of STEP 59 Clearly, this diversity has to be managed: otherwise, STEP would consist of a collection of separate, industryor discipline-specific Application Protocols. The costs of implementing and supporting these would be very high as new interfaces would have to be written from scratch for each Application Protocol. However, the diversification of Application Protocols is not only managed; it is a conscious design intent of STEP that Application Protocols should be consistent. This consistency is a

An introduction to the concepts, benefits and terminology of product data management

Abstract: Product data management (PDM) systems help to keep track of the masses of information needed to design, manufacture or build products and then to maintain them. They can be applied to a wide range of products and industries and across the whole spectrum of organizational functions. Benefits extend far beyond engineering design to include cost savings in manufacturing, reduced time to market and increased product quality. Defines and describes the type of features and functions that should be found in a PDM system and addresses the following: data vault and document management; workflow and process management; product structure management; classification; project management; communication and notification; data transport and translation; image services; system administration; and PDM environments.

Data management system having data management configuration

Abstract: A data management system for file and database management including a design control system suitable for use in connection with the design of integrated circuits and other elements of manufacture having many parts which need to be developed in a concurrent engineering environment with inputs provided by users and or systems which may be located anywhere in the world providing a set of control information for coordinating movement of the design information through development and to release while providing dynamic tracking of the status of elements of the bills of materials in an integrated and coordinated activity control system utilizing a control repository which can be implemented in the form of a database (relational, object oriented, etc.) or using a flat file system. Once a model is created and/or identified by control information design libraries hold the actual pieces of the design under control of the system without limit to the number of libraries, and providing for tracking and hierarchical designs which are allowed to traverse through multiple libraries. Data Managers become part of the design team, and libraries are programmable to meet the needs of the design group they service. A control repository communicates with users of the design control system for fulfilling requests of a user and with data repositories of said data management control system through a plurality of managers. Each manager performs a unique function. Managers act as building blocks which can be combined in a plurality of manners to support an environment for suitable for multiple users of a user community.

Total Quality Management: An Introductory Text

Abstract: Quality Management - The Basics. The Basics of Management. Quality Management Concepts. Total Quality Management. Quality Management Writers. The Three Views of Quality. The Five Functions of Total Quality Management. Quality Planning. Quality of Design. Organisational Structure and Design. Leadership. Group Dynamics. Human Resource Management. Cultural and Change and Management. Control. Statistical Process Control. Quality Economics. Quality Standards. Integrated Total Quality Management - The Future.

Describing the issues of knowledge management in R&D: towards a communication and analysis tool

Abstract: In this article, a comprehensive descriptive model of R&D knowledge management is presented and its use illustrated. Knowledge is defined as: information internalized by means of research, study or experience, that has value for the organization. First, the issue of knowledge management is placed in the context of R&D management, and set alongside what has been written in R&D management literature about topics such as information management, information technology in R&D, technology transfer, communication and organizational learning. Then, we present our descriptive model, and apply it in a case study concerning a Dutch multinational in the chemical industry. The model served as an aid to identify bottlenecks, and was a useful starting point for formulating improvement plans, some of which are presented. The paper concludes with an evaluation of the model as a communication and analysis tool, and ideas for further improvement.

Data management system for problems, releases and parts

Abstract: A design control system suitable for use in connection with the design of integrated circuits and other elements of manufacture having many parts which need to be developed in a concurrent engineering environment with inputs provides by users and or systems which may be located anywhere in the world provides a set of control information for coordinating movement of the design information through development and to release while providing dynamic tracking of the status of elements of the bills of materials in an integrated and coordinated activity control system utilizing a repository which can be implemented in the form of a database (relational, object oriented, etc.) or using a flat file system. Once a model is created and/or identified by control information design libraries hold the actual pieces of the design under control of the system without limit to the number of libraries, and providing for tracking and hierarchical designs which are allowed to traverse through multiple libraries. Data Managers become part of the design team, and libraries are programmable to meet the needs of the design group they service.

Strategic directions in database systems—breaking out of the box

Abstract: The field of database systems researchand development has been enormouslysuccessful over its 30-year history. Ithas led to a $10 billion industry with aninstalled base that touches virtually ev-ery major company in the world. Itwould be unthinkable to manage thelarge volume of valuable informationthat keeps corporations running with-out support from commercial databasemanagement systems (DBMSs).Today, the field of database researchis largely defined by its previous suc-cesses, and much current research isaimed at increasing the functionalityand performance of DBMSs. A DBMS isa very complex system incorporating arich set of technologies. These technolo-gies have been assembled in a way thatis ideally suited for solving problems oflarge-scale data management in the cor-porate setting. However, a DBMS, likeany large tool, places some require-ments on the environment in which it isbeing used. The DBMS imposes someexecution overhead, often requires afairly high level of expertise to installand maintain, and only manages datathat is in fairly specific file formats.At the same time, the data that needsmanaging is changing radically and isbeing stored in places other than data-base systems (e.g., files). It is also ob-tained in large volumes from externalsources, like sensors. While the trend ofbuilding more powerful database man-agement systems has a place, there isalso a need for data management incontexts that cannot cope with the over-head of a full-blown DBMS; many envi-ronments call for a much lighter-weightsolution.Sometimes, instead of using an exist-ing tool in a new application, it is betterto embed reusable components in orderto make the resulting system more re-sponsive. In some cases, it is the tech-niques that a tool embodies that aremost reusable. We argue that this ob-servation is true in many new data-intensive applications. We would like toreuse database system components, butwhen that is inappropriate we must bewilling to reuse our techniques and ourexperience in new ways.If we look around at information thatpeople use, we see many examples inwhich database systems are conspicu-ous by their absence. One of the most

Reconfigurable algorithmic networks for aircraft data management

Abstract: An aircraft data management system providing management of a variety of flight data generated by multiple data sources. The flight data may include a wide variety of operational, maintenance, and flight safety data. The data management system is compatible with a variety of computers employing a variety of operating systems. The data management system provides flight data sources, a computer, and means for transmitting the flight data from the various flight data sources to the computer. In order to provide the flight data in a useful form to different users having a variety of needs, the data management system provides a reconfigurable algorithmic network, resident on the computer, which defines a set of predetermined operations performed on a predetermined set of the flight data. The data management system also provides a means, resident on the computer, for interpreting the flight data in accordance with the reprogrammable algorithmic network.

Data recording and management system and method for detecting data file division based on quantitative number of blocks

Abstract: A data recording apparatus including a recording unit for recording a data file as one or a plurality of blocks on a randomly accessible recording medium; a managing unit for managing the recording position of the data file by using management data comprised of the file name of the data file, data indicating the head positions of the blocks, data indicating the sizes of the blocks, and data indicating the links among the blocks; a detecting unit for detecting the degree of division of the data file based on the quantitative number of the blocks indicated by the management data; and a moving unit for moving the blocks so that the data is recorded at a position where blocks of continuous contents of data are recorded continuously as much as possible in accordance with the degree of the division of the data file in response to the detection of the detecting unit. Also, a method of data management.

Data management system and method for concurrent engineering

Abstract: A design control system suitable for use in connection with the design of integrated circuits and other elements of manufacture having many parts which need to be developed in a concurrent engineering environment with inputs provided by users and or systems which may be located anywhere in the world providing a set of control information for coordinating movement of the design information through development and to release while providing dynamic tracking of the status of elements of the bills of materials in an integrated and coordinated activity control system utilizing a repository which can be implemented in the form of a database (relational, object oriented, etc.) or using a flat file system. Once a model is created and/or identified by control information design libraries hold the actual pieces of the design under control of the system without limit to the number of libraries, and providing for tracking and hierarchical designs which are allowed to traverse through multiple libraries. Data Managers become part of the design team, and libraries are programmable to meet the needs of the design group they service.

Systems and methods for data quality management

Abstract: Systems and methods that model and measure the propagation of error within information systems. The invention provides data management systems that determine an error measure that represent the accuracy, or inaccuracy of a query result achieved for processing a structured data set. In one embodiment, the invention provides systems that have a model of error which exists within a structured data set. The system can further include an error propagation monitor that processes the error model and the structured data set to determine errors within the structured data set that will propagate to a query result generated by performing a query process on the structured data set. The propagated error represents the error that exists within the query result signal.

Principles of data analysis

Abstract: Two components of the research process complement each other to ensure that the finished product is excellent qualitative research. The first is the collection of adequate and appropriate data, and the second is creativity in data analysis. In this chapter, the process of creative data analysis will be addressed. First, the cognitive process of doing qualitative data analysis will be presented. Next, data preparation and data management techniques that facilitate analysis will be described, and last, procedures to verify the analysis process (i.e. an audit trail) and procedures of verifying the emerging theory will be presented.

Two-way data communication manager

Abstract: A data communication manager provides a versatile interface between different types of scanners and a central computer system. Each data manager periodically receives loading data from the host computer. A scanner is used to read package tracking numbers on packages at a predetermined point in a hub facility. The data is transmitted from the scanner to the data manager via radio frequency (RF) link. The data manager uses stored disposition data (received from the host earlier) to determine whether the package should be loaded and transmits the appropriate signal to the load/no-load indicator via another RF link. The data manager stores data indicative of the disposition of the package data in its memory and also forwards the data to the host computer, where it may be used for tracking purposes. The data communication manager provides a "smart" data manager that reduces the amount of traffic on the host computer's network and provides sub-second response times to a loader. The application programs and data in the data managers may be updated by the host as needed.

Access control in federated systems

Abstract: One of the new emerging technology for data management is today represented by federated systems. The success of this technology, which has been receiving increasing attention from researchers and developers, comes from the need to integrate and work on diflerent existing systems independently developed and evolved. The necessity of making them atlailable to users as if they were a single system while at the same time not affecting their independent working arises several issues with respect to authorization management and specification and to access control enforcement. In this paper we outline some of these issues and illustrate the basic ideas of possible authorization model for the protection of information in federated systems.

Managing Large Qualitative Data Sets in Family Research

Abstract: The authors describe two complementary data management techniques-family case summaries and computer generated matrices-and their contribution to the analytic goals of a study offamily response to ...

Evolution of data management

Abstract: Computers can now store all forms of information: records, documents, images, sound recordings, videos, scientific data, and many new data formats. Society has made great strides in capturing, storing, managing, analyzing, and visualizing this data. These tasks are generically called data management. This article sketches the evolution of data management systems. There have been six distinct phases in data management. Initially, data was manually processed. The next step used punched-card equipment and electromechanical machines to sort and tabulate millions of records. The third phase stored data on magnetic tape and used stored-program computers to perform batch processing on sequential files. The fourth phase introduced the concept of a database schema and on-line navigational access to the data. The fifth step automated access to relational databases and added distributed and client server processing. We are now in the early stages of sixth-generation systems that store richer data types, notably documents, images, voice, and video data. These sixth-generation systems are the storage engines for the emerging Internet and intranets. Early data management systems automated traditional information processing. Today they allow fast, reliable, and secure access to globally distributed data. Tomorrow's systems will access and summarize richer forms of data. It is argued that multimedia databases will be a cornerstone of cyberspace.

Interactive Modeling of Ground‐Water Vulnerability Within a Geographic Information System Environmenta

Abstract: During the last several years, the geographic information system (GIS) technology has emerged as an extremely effective tool for analyzing and prioritizing natural resource management alternatives. Because natural resource management problems are spatial in nature, the GIS technology provides a tool for defining the extent of the problem, and facilitates the design and implementation of alternative management strategies. The flexible design of a GIS coupled with the ability to integrate models with spatial data gives resource managers and planners the tools to effectively manage natural resources and to assess the implementation of regulatory policies before they are implemented. This paper describes an interactive modeling system developed within a GIS environment to facilitate rapid appraisal of the susceptibility of ground water to contamination by pesticides. The interactive system combines three widely used screening models with the ARC/INFO GIS software and a graphical user interface. Implemented on a color-graphic engineering workstation, the interactive modeling system can be used to visualize the spatial distribution of model inputs and outputs. The advantage of this system is that instead of ad-hoc linkage between GIS software and a simulation model, a fully integrated and interactive system in which the model equations are programmed within the GIS was developed. The impetus for developing the interactive ground-water modeling system was the relative lack of tools that fully integrate models with GIS and the potential benefits to the resource manager in developing such integrated environmental modeling systems. There is an increasing demand, from the GIS perspective, for tools that perform functions other than organization and display of spatial data. From the ground-water modeling perspective, several advantages can be derived from fully integrating process-based models with the data management, analysis, and display capabilities of the GIS.