Data

Information about an object. The ordinary things that we know, such as fullName or emailAddress. Data items can be primitive (string, number) or complex (structured), they can be single-valued or multi valued and so on.

Meta-data

Information about the data. In context of midPrivacy we understand meta-data as information about every value of the data. For example multi-valued property policySituation that has two values will have two meta-data sets, one for each value.

Schema

TODO

(Data) Model

TODO

(Data) Provenance

Meta-data that specify where a particular data item originated, how it was transformed and so on. Provenance meta-data may explain the reasons for existence of a particular data item.

Data Protection

Field of study that is focusing on control over use of data, particularly of personal data stored in computer systems. Data protection is different than security. Data protection is not about confidentiality (secrecy), integrity and availability of the data. Data protection is about proper use of the data. Data protection will deal with question whether it is OK to use particular data item for a particular purpose. Can we use this data item because it is necessary to fulfil our employment contract with the user? Can we use this data item because the user has given us a consent to use the data item? Or do we need to delete the data idem because we do not have any valid reason to mantain it?