The series sets out a complete capability for reaching high data quality and keeping it there (shown in its Figure 1). That capability starts from the clause 5 principles; answers the information needs that come from the organization's decisions; is made up of processes that manage data quality and provide governance and assurance, arranged on the PDCA (plan, do, check, act) cycle also used by ISO 9001; relies on data specifications both to express the information need and to give a firm basis for judging whether data meet their syntactic, semantic and pragmatic requirements; supports verification and validation against requirements; keeps the work in line with the organization's strategic objectives; brings about lasting organizational and behavioural change; and can be applied to data of any type. It nonetheless recognises differences between data according to the role they play (master, transaction or reference data, among others), the part of the data architecture they belong to (a dictionary, an exchange file, a database or a schema), the scope of what they describe (products, projects, financial records, identifiers, performance, physical characteristics, safety) and the field in which they are used (industry, healthcare, banking).
The graph holds this control, the 0 it maps to, and the evidence behind each claim, over MCP and REST.