Existing Citations

  • data (p. 7): Qualitative of quantitative statements or numbers that are assumed to be factual, and not the product of analysis or interpretation. (†1515)
  • data anonymization (p. 7): Data relating to a specific individual where the identifiers have been removed to prevent identification of that individual. (†1514)
  • de-anonymization (p. 7): The process of determining the identity of an individual to whom a pseudonymised dataset relates. (†1516)
  • disclosure (p. 7): Data is potentially disclosive if, despite the removal or obvious identifiers, characteristics of this dataset in isolation or in conjunction with other datasets in the public domain might lead to identification of the individual to whom a record belongs. (†1518)
  • mosaic effect (p. 7): The process of combining anonymised data with auxiliary data in order to reconstruct identifiers linking data to the individual it relates to. (†1517)
  • open data (p. 8): Data that meets the following criteria: · accessible (ideally via the internet) at no more than the cost of reproduction, without limitations based on user identity or intent; · in a digital, machine readable format for interoperation with other data; and · free of restriction on use or redistribution in its licensing conditions. (†1520)
  • transparency (p. 11): Transparency is already radically changing the way people live their lives and run their businesses in the UK. In the last two years, the UK has released the largest amount of government data of any country in the world, enabling people to make better choices about the public services they use and to hold government to account on spending and outcomes. Transparency is also providing the raw material for innovative new business ventures and for public service professionals to improve their performance. (†1524)