DataFrame™ Data Maintenance is a desktop pipeline data maintenance application. To manage through a web-based application, see FE-Data Maintenance.
DataFrame Data Maintenance provides authorized users the ability to manage and edit ArcGIS Pipeline Data Model (APDM) or Pipeline Open Data Standard (PODS) data through the versatility and familiarity of a desktop GIS application. Users can edit pipeline location, pipe components and geographical features using an ESRI license of ArcEditor in ArcMap. Tedious maintenance overhead activities and complicated, cryptic database intricacies remain hidden allowing users to focus on improving the enterprise data asset in a straightforward way. Powerful editing and approval workflows are combined with user roles that determine the tasks different users are authorized to perform.
Without DataFrame Data Maintenance, pipeline data maintenance activities, such as the modeling of a pipeline reroute, can take days or even weeks of data maintenance overhead to ensure that related datasets are updated properly. GeoFields simplifies the process through project workflows that capture the essential information needed and thoroughly update the remaining datasets reliably and consistently. Because DataFrame Data Maintenance maintains a central, common database, all changes to the pipeline data are available to the entire organization immediately and available to all applications. Changes to the pipeline system are stored, tracking historical states. Built in quality management tools ensure users can rely on the data for their analyses and reporting.
Leveraging years of GeoFields pipeline data expertise, DataFrame Data Maintenance approaches data maintenance from a pipeline operator's perspective, not the perspective of the underlying database. Data is maintained with a traditional pipeliner's view of the world.
Users can perform centerline editing, reroutes, stationing configuration, retirements, replacements and refinement using the map-based interface and pipe component lists. The changes, upon approval, are updated in the common database so they are immediately available to all users via the enterprise mapping application.
User-based access levels determine the types of edits data managers can make and whether they have approval and publishing authorization. By enforcing these rigorous workflows, APDM edits can be reviewed in ArcEditor before being published to the wider user community. All edits, approvals and publishes are time- and user-stamped. Manage and archive all of your edits to APDM as task-oriented projects with workflows the newest of employees can follow. Quality control checks intelligently update related datasets upon reconciliation of your projects with the database.
The system offers complete support for stationing systems including resolution of ambiguous as-built stationing; management of station equations and station series data; and dynamic updating of absolute (or continuous) stationing as edits occur.
Changes to the pipeline status, whether for the whole segment or a sub-segment during a retirement or abandonment, are proliferated through appropriate pipeline components ensuring that their status accurately reflects that of the pipeline, keeping data up to date.
The primary reference system is stationing, with flexible input and output in a wide variety of other reference systems, including GPS coordinates, latitude/longitude and other geographical coordinates. This ensures that data can be easily entered but that it is preserved as part of a pipeline system and managed together.
DataFrame Data Maintenance makes it easy for your organization to continuously improve data quality and refine its pipeline data assets. Provided quality control tools fix gaps and overlaps in your data and always check to make sure the locations you enter are valid by finding, recording and fixing data problems so all applications that rely on the data can be assured of the most accurate data quality possible.
DataFrame Data Maintenance has additional checks and balances to assure the quality of your data. Edits are not published until they are approved by an administrator. These administration tools make it easy to review and approve data to be published to the production dataset as well as the detail behind edits that have occurred.
Change management is an important feature of all enterprise data management systems. GeoFields applications, procedures, and supported data models provide the infrastructure and ability to track and identify changes made in the system.