Abstract: A method and system is presented which provides a TDM framework for managing self-describing measurement data. The TDM framework provides applications with a central platform for accessing measurement data across an entire enterprise system. By means of individual plug-ins, which may be specific to a given data file format, meta-data for each data store in the enterprise may be indexed in a unified manner. The unified indexing, in turn, provides the ability to browse and query the indexed measurement data without requiring the opening or reading from a source data file.

Abstract: A method and system is presented which provides a TDM framework for managing self-describing measurement data. The TDM framework provides applications with a central platform for accessing measurement data across an entire enterprise system. By means of individual plug-ins, which are specific to a given data file format, meta-data for each data store in the enterprise may be indexed in a unified manner. The unified indexing, in turn, provides the ability to browse and query the indexed measurement data without requiring the opening or reading from a source data file.

Abstract: Cursor synchronization in a plurality of graphs. A plurality of graphs may be displayed. Each graph may visually represent data and may include at least two axis. User input may be received specifying a value of a first axis of a first graph of the plurality of graphs. The method may determine if the first axis in the first graph corresponds to a first axis of a second graph in response to the user input. A visual indication may be indicated at a second value in the second graph in response to determining that the first axis in the first graph corresponds to the first axis of the second graph. The second value may correspond to the first value.

Abstract: A method and system is presented which provides a TDM framework for managing self-describing measurement data. The TDM framework provides applications with a central platform for accessing measurement data across an entire enterprise system. By means of individual plug-ins, which may be specific to a given data file format, meta-data for each data store in the enterprise may be indexed in a unified manner. The unified indexing, in turn, provides the ability to browse and query the indexed measurement data without requiring the opening or reading from a source data file.

Abstract: A method and system is presented which provides a TDM framework for managing self-describing measurement data. The TDM framework provides applications with a central platform for accessing measurement data across an entire enterprise system. By means of individual plug-ins, which may be specific to a given data file format, meta-data for each data store in the enterprise may be indexed in a unified manner. The unified indexing, in turn, provides the ability to browse and query the indexed measurement data without requiring the opening or reading from a source data file.

Abstract: A method and system is presented which provides a TDM framework for managing self-describing measurement data. The TDM framework provides applications with a central platform for accessing measurement data across an entire enterprise system. By means of individual plug-ins, which are specific to a given data file format, meta-data for each data store in the enterprise may be indexed in a unified manner. The unified indexing, in turn, provides the ability to browse and query the indexed measurement data without requiring the opening or reading from a source data file.

Abstract: A method and system is presented which provides a TDM framework for managing self-describing measurement data. The TDM framework provides applications with a central platform for accessing measurement data across an entire enterprise system. By means of individual plug-ins, which are specific to a given data file format, meta-data for each data store in the enterprise may be indexed in a unified manner. The unified indexing, in turn, provides the ability to browse and query the indexed measurement data without requiring the opening or reading from a source data file.

Abstract: Cursor synchronization in a plurality of graphs. A plurality of graphs may be displayed. Each graph may visually represent data and may include at least two axis. User input may be received specifying a value of a first axis of a first graph of the plurality of graphs. The method may determine if the first axis in the first graph corresponds to a first axis of a second graph in response to the user input. A visual indication may be indicated at a second value in the second graph in response to determining that the first axis in the first graph corresponds to the first axis of the second graph. The second value may correspond to the first value.

Abstract: A method and system is presented which provides a TDM framework for managing self-describing measurement data. The TDM framework provides applications with a central platform for accessing measurement data across an entire enterprise system. By means of individual plug-ins, which may be specific to a given data file format, meta-data for each data store in the enterprise may be indexed in a unified manner. The unified indexing, in turn, provides the ability to browse and query the indexed measurement data without requiring the opening or reading from a source data file.

Abstract: A method and system is presented which provides a TDM framework for managing self-describing measurement data. The TDM framework provides applications with a central platform for accessing measurement data across an entire enterprise system. By means of individual plug-ins, which may be specific to a given data file format, meta-data for each data store in the enterprise may be indexed in a unified manner. The unified indexing, in turn, provides the ability to browse and query the indexed measurement data without requiring the opening or reading from a source data file.

Abstract: A method and system is presented which provides a TDM framework for managing self-describing measurement data. The TDM framework provides applications with a central platform for accessing measurement data across an entire enterprise system. By means of individual plug-ins, which may be specific to a given data file format, meta-data for each data store in the enterprise may be indexed in a unified manner. The unified indexing, in turn, provides the ability to browse and query the indexed measurement data without requiring the opening or reading from a source data file.

Abstract: A system and method for storing measurements. Each measurement may include bulk data and attribute data. The bulk data and the attribute data may be stored using different storage mechanisms. In one embodiment, relational database technology may be used to store the attribute data. Relational database technology may facilitate querying or searching on the attribute data. The bulk data may be stored in a database specialized for storing bulk data.

Abstract: A system and method for storing measurements. Each measurement may include bulk data and attribute data. The bulk data and the attribute data may be stored using different storage mechanisms. In one embodiment, relational database technology may be used to store the attribute data. Relational database technology may facilitate querying or searching on the attribute data. The bulk data may be stored in a database specialized for storing bulk data.

Abstract: A system and method for making technical data available across an enterprise which may contain multiple data stores distributed across networked servers. These distributed data stores create the impression that they are actually part of one central storage, referred to as a networked DataCache. The user may thus be able to find various kinds of technical data without knowing where they were from the start. The data may also be adequately self describing via meta-data so that a user or application is able to find it and use it without implicit knowledge of the data, its meaning, or its structure. The networked DataCache allows a user of measurements to know where a measurement is and what it means.

Abstract: A Technical Data Management framework (TDM framework) including various components for managing the storage and retrieval of technical data, such as measurement data. One or more of these components may be usable by client application programs, simplifying the task of managing technical data that is stored and used by multiple applications. The TDM framework described herein may simplify technical data management tasks by utilizing data models and providing a common data retrieval and storage interface for applications to use to manage technical data.