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is implied by the value Lee Joe s hair color cannot be considered less or greater than Mike s unless some ranking is introduced: perhaps light versus dark Nominal data values which have unlimited choices allow arbitrary text Names of individuals, names of businesses, statements of opinion, etc, are data of this type Accuracy becomes di cult to control and the values can only be used for comparison Nominal data values cannot always be avoided, but if a limited domain can be established, many opportunities for data veri cation and control become available The list of values may be so great that a lexicon will be required to de ne the domain Sometimes a domain de nition can be available as part of a coding convention, as shown in Sec 14-2-2 14-1-3 Encoding Once the value domains to be collected have been classi ed, the selection of the actual data representation in the computer completes the conversion of knowledge to data speci cations For values which have a metric classi cation the choice is straightforward Continuous data can be represented by binary integers or fractions if the range of values permits The position of a binary or decimal point can be noted in the schema An alternative available on many computers is the use of a oating point notation Occasionally a representation of values as rational fractions, using two integers for the dividend and the divisor, can be useful An adequate representation of UNDEFINED or UNKNOWN values may prove di cult On systems which use sign-magnitude representation for numeric values, the value -0 has been used, but this convention can be recommended only where the generation of numeric values is controllable by the database-system designer Ordinal data are often given integer representation A lexicon, internal or external to the system, is required for the translation If ordinal data are not translated to integer or sortable alphabetic codes, a lexicon is required to carry out comparison operations:.

Example 14-1

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Multiple media service instances Depending on the implementation, if there are multiple media service instances available, the computing domain may be able to choose which one is preferred

Grade: RELATION impression : value;

Nominal data of a limited domain is generally associated with a lexicon to verify correct data entry The data may be represented in integer form for convenience in handling and storage This will require another conversion, using the same lexicon in the opposite direction, whenever the value is to be produced as a result Occasionally coded nominal data is not reconverted for output This tends to be valid only where there is a standard encoding and where immediate intelligibility is not important Medical diagnosis codes, for instance, can be part of the output

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by state and national data protection agencies in each country With the advent of the EU, this common comprehensiveness stands in distinct contrast to the patchwork of laws in the United States Privacy laws in Europe are built around the concept that privacy is a fundamental human right that demands protection through government administration When the EU was formed, many laws were harmonized across the 15 member nations, and data privacy was among those standardized One important aspect of this harmonization is the Data Protection Directive, adopted by EU members, which has a provision allowing the European Commission to block transfers of personal data to any country outside the EU that has been determined to lack adequate data protection policies The differences in approach between the US and the EU with respect to data protection led to the EU issuing expressions of concern about the adequacy of data protection in the US, a move that could pave the way to the blocking of data transfers After negotiation, it was determined that US organizations that voluntarily joined an arrangement known as Safe Harbor would be considered adequate in terms of data protection Safe Harbor is a mechanism for self-regulation that can be enforced through trade practice law via the FTC A business joining the Safe Harbor Consortium must make commitments to abide by specific guidelines concerning privacy Safe Harbor members also agree to be governed by certain self-enforced regulatory mechanisms, backed ultimately by FTC action Another major difference between US and European regulation lies in where the right of control is exercised In European directives, the right of control over privacy is balanced in such a way as to favor consumers Rather than having to pay to opt-out, as in unlisted phone numbers, consumers have such services for free Rather than having to opt-out at all, the default privacy setting is deemed to be the highest level of data privacy, and users have to opt-in to share information This default setting is a cornerstone of the EU Data Protection Directive and is enforced through national laws in all member nations.

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