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Wellbore Domain Data Management Services including type-safe entity access and optimized accessors for bulk data such as logs, trajectories, checkshots.

The Unit Service provides dimension/measurement and unit definitions. Given two unit definitions, the service also offers conversion parameters in two different parameterizations.

This Project and Issues Board is set to receive feedback and ideas for the next version of the ArchiMate® Specification. The board will remain open until the Members of The Open Group ArchiMate Forum determine that there is enough content to warrant an update.

The Storage Service handles metadata ingestion in OSDU.

Dockerfiles for java,python services

This is sdapi (C++ library) for seismic dms also known as SDMS v3

The Search Service supports full-text search on string fields, range queries on date, numeric or string fields, along with geo-spatial search.

[In Development] Schema (and Reference Value) Upgrade Service

The Schema Service enables schema management in the OSDU and offers an implementation of the schema standard.

The Register Service manages subscriptions, action and DDMS registrations in the OSDU.

Repository for the Rock & Fluid Sample DDMS services for OSDU.

Repository for the Rock & Fluid Sample DDMS services for OSDU.

This project contains the Production and Reservoir Data Management micro-services which, along with the associated relational data model, makes up Halliburton's contribution to OSDU Production.

OSDU platform pre-shipping activities - This repository contains KT sessions, work demos, postman collections to support User Acceptance Testing for milestone releases

Policy service is used for management and evaluation of dynamic policies in OSDU.

The Time-series Management Service allows users to ingest time-series bulk data as a array of data points. The data can be written for set of entities, properties and source. User access is restricted through entitlements. The data ingested supports bi-temporality.

The Time-series Service provides functionality for fetching stored time-series by entity, property, source and date-time span. The time-series are handled in a bi-temporal approach, where the version time is the time where the fact has been stored and the physical time where the transaction has happened.

The Property Discovery Service features enables the user to query and scan through the catalog of the available set of properties using various search criteria.