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ISO/IEC 11179

ISO/IEC 11179 is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand ISO/IEC 11179 rather than just read about it. In short: The ISO/IEC 11179 metadata registry (MDR) standard is an international ISO/IEC standard for representing metadata for an organization in a metadata registry. It documents the standardization and registration of metadata to make data understandable and shareable.

Key takeaways

  • ISO/IEC 11179 belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect ISO/IEC 11179 to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of ISO/IEC 11179 from memory before moving on to harder problems.

Reference excerpt

The ISO/IEC 11179 metadata registry (MDR) standard is an international ISO/IEC standard for representing metadata for an organization in a metadata registry. It documents the standardization and registration of metadata to make data understandable and shareable.

Structure of an ISO/IEC 11179 metadata registry The ISO/IEC 11179 model is a result of two principles of semantic theory, combined with basic principles of data modelling. The first principle from semantic theory is the thesaurus type relation between wider and more narrow (or specific) concepts, e.g. the wide concept "income" has a relation to the more narrow concept "net income". The second principle from semantic theory is the relation between a concept and its representation, e.g., "buy" and "purchase" are the same concept although different terms are used. A basic principle of data modelling is the combination of an object class and a characteristic. For example, "Person - hair color". When applied to data modelling, ISO/IEC 11179 combines a wide "concept" with an "object class" to form a more specific "data element concept". For example, the high-level concept "income" is combined with the object class "person" to form the data element concept "net income of person". Note that "net income" is more specific than "income". The different possible representations of a data element concept are then described with the use of one or more data elements. Differences in representation may be a result of the use of synonyms or different value domains in different data sets in a data holding. A value domain is the permitted range of values for a characteristic of an object class. An example of a value domain for "sex of person" is "M = Male, F = Female, U = Unknown". The letters M, F and U are then the permitted values of sex of person in a particular data set. The data element concept "monthly net income of person" may thus have one data element called "monthly net income of individual by 100 dollar groupings" and one called "monthly net income of person range 0-1000 dollars", etc., depending on the heterogeneity of representation that exists within the data holdings covered by one ISO/IEC 11179 registry. Note that these two examples have different terms for the object class (person/individual) and different value sets (a 0-1000 dollar range as opposed to 100 dollar groupings). The result of this is a catalogue of sorts, in which related data element concepts are grouped by a high-level concept and an object class, and data elements grouped by a shared data element concept. Strictly speaking, this is not a hierarchy, even if it resembles one. ISO/IEC 11179 proper does not describe data as it is actually stored. It does not refer to the description of physical files, tables and columns. The ISO/IEC 11179 constructs are "semantic" as opposed to "physical" or "technical". The standard has two main purposes: definition and exchange. The core object is the data element concept, since it defines a concept and, ideally, describes data independent of its representation in any one system, table, column or organisation.

Structure of the ISO/IEC 11179 standard The standard consists of seven parts:

ISO/IEC 11179-1:2015 Framework (referred to as ISO/IEC 11179-1) ISO/IEC 11179-2:2005 Classification ISO/IEC 11179-3:2013 Registry metamodel and basic attributes ISO/IEC 11179-4:2004 Formulation of data definitions ISO/IEC 11179-5:2015 Naming and identification principles ISO/IEC 11179-6:2015 Registration ISO/IEC 11179-7:2019 Metamodel for data set registration Part 1 explains the purpose of each part. Part 3 specifies the metamodel that defines the registry. Part 7 is released per December 2019 and provides an extension to part 3 for registration of metadata about data sets. The other parts specify various aspects of the use of the registry.

Overview of 11179 Data Element The data element is foundational concept in an ISO/IEC 11179 metadata registry. The purpose of the registry is to maintain a semantically precise structure of data elements. Each Data element in an ISO/IEC 11179 metadata registry:

should be registered according to the Registration guidelines (11179-6) will be uniquely identified within the register (11179-5) should be named according to Naming and Identification Principles (11179-5) See data element name should be defined by the Formulation of Data Definitions rules (11179-4) See data element definition and may be classified in a Classification Scheme (11179-2) See classification scheme Data elements that store "Codes" or enumerated values must also specify the semantics of each of the code values with precise definitions.

Adoption of 11179 standards Software AG's COTS Metadata Registry (MDR) product supports the ISO 11179 standard and continues to be sold and used for this purpose in both commercial and government applications (see Vendor Tools section below). While commercial adoption is increasing, the spread of ISO/IEC 11179 has been more successful in the public sector. However, the reason for this is unclear. ISO membership is open to organizations through their national bodies. Countries with public sector repositories across various industries include Australia, Canada, Germany, United States and the United Kingdom. The United Nations and the US Government refer to and use the 11179 standards. 11179 is strongly recommended on the U.S. government's XML website. and is promoted by The Open Groups as a foundation of the Universal Data Element Framework. The Open Group is a vendor-neutral and technology-neutral consortium working to enable access to integrated information within and between enterprises based on open standards and global interoperability.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with ISO/IEC 11179

Start with the simplest possible case. Write down what ISO/IEC 11179 claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to ISO/IEC 11179 before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about ISO/IEC 11179 ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of ISO/IEC 11179

In research
ISO/IEC 11179 appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses ISO/IEC 11179 in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
ISO/IEC 11179 is common in secondary-school and first-year university syllabi. It links to neighbouring topics Data modeling languages, ISO/IEC 11179, ISO/IEC standards, so understanding it makes those chapters shorter.
In everyday life
Look for ISO/IEC 11179 outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study ISO/IEC 11179 in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what ISO/IEC 11179 means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain ISO/IEC 11179 out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is ISO/IEC 11179 in simple terms?

The ISO/IEC 11179 metadata registry (MDR) standard is an international ISO/IEC standard for representing metadata for an organization in a metadata registry. It documents the standardization and registration of metadata to make data understandable and shareable.

Why does ISO/IEC 11179 matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study ISO/IEC 11179?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on ISO/IEC 11179.

Tags

  • Data modeling languages
  • ISO/IEC 11179
  • ISO/IEC standards
  • Metadata registry
  • Metadata standards

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