The management of data across BLCEM processes presents a considerable challenge in terms of maintaining interoperability between those processes. Several data domains have been identified in D1.1. to meet the data requirements of BLCEM processes. For each data domain several data models exist, each with their own set of vocabularies and structure. Identifying which data model is the best to meet a particular use case whilst also maintaining interoperability with the wider BLCEM processes can often be a time consuming task requiring considerable investment of time and effort. For EU projects where time and resources may be limited, this can lead to projects neglecting the important issue of interoperability, resulting in the development of new models without consideration of the wider BLCEM and BIM communities, available data models and standards.
A methodology is required which supports developers of new use cases in identifying data requirements in a generic way, and providing capabilities to then map those data requirements to existing data models. The outcome of this process will be to:
- provide a set of reference use cases for developing new use cases, so that existing data models for meeting those use case data requirements can be quickly identified without a need to understand the entirety of a given data model
- provide a methodology for harmonizing similar use cases between projects, which will help with the identification of potential links between data models, or the need to merge two similar data models.
In this report we present guidelines for generating these data requirements on a use case by use case basis using a tool developed by AEC3 (buildingSMART) for capturing data requirements, the BIM*Q tool. This tool is a web-based tool with a centralized database.
In order to make this data open and accessible, the report recommends publishing data as Linked Data. Therefore, the main focus of data models are RDF based. The report also provides guidelines for generating new RDF models where existing standards cannot meet the requirements of a use case. Guidelines for the publication and linking of data models are also presented. By making BLCEM data open and accessible as Linked Data, the potential for new and novel use cases based on the query of multiple open data sets becomes a possibility.