Data ownership explained
While data is a valuable asset, data is not really "owned", rather, there are "ownership-like" rights over it.
While there may be intellectual property (IP) rights present in certain datasets, these IP rights provide limited protection, which is why an organisation’s data needs to be considered distinctly and protected under contract. For example, copyright has an originality threshold and may not subsist in automatically generated data outputs. Any skill and labour used to select the inputs to an algorithm would only give rise to copyright in a list of the inputs. The process of automatically generating the outputs once the inputs had been selected would be "pure routine work" in which no copyright subsists.
Because an organisation does not own its data by default, it needs to build and maintain data "ownership" into its agreements with its partners, suppliers and customers. This includes: understanding what data is needed, for example, for the preparation and implementation of a BIM model; liability issues relating to data; controlling and restraining access as appropriate; understanding basic data workflows; and developing a data strategy.
What is a data strategy?
In simple terms, a data strategy is a plan for how an organisation will collect, store, manage, share and use data. It will be driven by the organisation’s business objectives and will spell out what an organisation wants to achieve and how data can help it get there.
A data strategy will require consideration of a range of factors, from technical issues such as data formats and interoperability, to legal and contractual requirements, organisational processes and individual responsibilities, culture, security, data integrity, costs and accountability.
A data strategy should be treated like any other business strategy and subject to planning and review cycles and business objectives. There will also need to be some built-in flexibility, as there may be design changes or parties may drop out of projects. There will need to be some form of longevity in data processing if it is for the life cycle of the building with a number of contributors and users.