muddi‐overview

Some of the results of the codesprint, namely a databasse model with load files for gas and electicity data is available in a separate repo.

Model for Underground Data Definition and Integration (MUDDI)

The MUDDI Conceptual Model is designed as a common basis to create Logical Models that make different types of sub-surface data interoperable in support of a variety of use cases and in different jurisdictions and user communities. The following data model resources are made available

1. draft MUDDI 1.0 Conceptual Model specification
2. draft MUDDI Generic Logical Model - the logical model and encodings have been created and we will upload them in due course, watch out for announcements on the MUDDI channel on discord

• XMI file for Enterprise Architect
• GML encoding
• JSON-FG encoding

Schemas are here

3. NUAR data model

• XMI file for Enterprise Architect](tbd)
• XML encoding
• PostGIS schema]

We will provide a variety of underground asset data in the UK (from asset owners, they can be downloaded here, this is a password protected file, the password will be made available to sprint participants via discord the afternoon of 30 Oct 2023). A number of datasets a freely available on open data portals, operated by certain network utility operators, please download these directly

• Gas - opendata: Northern Gas Network Distribution Network
• Elec - opendata: SSEN GIS network data as shapefiles for the northern half of Scotland and central-southern England, opendata: UKPN 33kv overhead network - just pretend it is underground
• Water
• Telco We are putting a focus on the network utility characteristics of MUDDI, though if you are interested in other subsurface domains, such as underground transport infrastructure, other manmade buried object, groundwater, soils, shallow geology etc, you are welcome to work on these as well.

If you have access to additional (test) dataset anywhere in the world, please bring them along.

We envisage several activities to take place at the sprint

• Evaluation and validation of subsurface utility network datasets.
• Derivation of Encodings from Logical Data Models specified in UML.
• Transformation of test datasets into encodings of the NUAR and or Generic Logical Data Models.
• Presenting transformed data on a simple online map.
• Comparison of testdata in its native encoding with data transformed into a MUDDI compliant data model.

What you might want to bring along to the sprint

• A GIS tool to visualise and interrogate data
• Enthusiasm about underground data, data manipulation and making subsurface data more easily accessible, interoperable etc
• Your toolset to validate, transform and manipulate data
  Safe Software will kindly provide an FME license to codesprint participants on request. Please contact the organisers if you are interested in accessing such an FME license.