Data structures

We'd like standards on data that allow simple and meaningful reuse of data such as:

• Dealing with provenance
• Deals with key entities like organisations and people

Ideally there would be different levels of implementatin which would allow:

• Minimum: very quick fixes that can be made to allow data sets to interoperate.
• Core: the solid way to make data enriching predictable and repeatable
• Extended: the cherry on top.

Quality

• OpenRefine
• Exversion's Junky
• Data Cleaning Boilerplate

Provenance

• Preferred: [Provenance Ontology](

• Deprecated: Open Provenance (Ontology)
• ICFJ provenance

Verification

Reputation

Organisations/Institutions

• Preferred: Organisations (Organisation Ontology)

• Popolo for People/Organizations/Membership

Organisation Types

• Schema.org Organisation subclasses
• OpenSecrets Industries, based off NAICS, related to NACE (Europe)

Company Equity/Control

• equity/control/executives,

Contracts

• contracts
• public contracts
• Open Contracting Data Standard

• Open Spending?

• There's also a lot of financial taxonomies that might become relevant, check the XBRL Taxonomies, which are XML schema for things including standard SEC and UK accounting charts.