science

Industry standard data model

Industry standard data model 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 Industry standard data model rather than just read about it. In short: An industry standard data model, or simply standard data model, is a data model that is widely used in a particular industry. The use of standard data models makes the exchange of information easier and faster because it allows heterogeneous organizations to share an agreed vocabulary, semantics, format, and quality standard for data.

Key takeaways

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

Reference excerpt

An industry standard data model, or simply standard data model, is a data model that is widely used in a particular industry. The use of standard data models makes the exchange of information easier and faster because it allows heterogeneous organizations to share an agreed vocabulary, semantics, format, and quality standard for data. Organizations may save time and expense by using pre-existing data models instead of developing them in-house, although the process of making data conform to external models can also be a hindrance. Standards are often defined by standards bodies or technology companies. Most models use the relational model of database management, but some use the hierarchical model, especially those used in manufacturing or those mandated by governments, such as models specified by DIN codes in Germany.

Applications Effective standard models have developed in the banking, insurance, pharmaceutical and automotive industries. These models reflect stringent standards required in these industries for customer information gathering, customer privacy, consumer safety, or just in time manufacturing. The most complex data models known are in military use. Consortia such as NATO tend to require strict standards for their members' equipment and supply databases. While standards for commercial software are usually open to view and implement, military data standards are often private and internal.

Issues Standard data models usually require the translation of existing company data to fit the model's specification, which may cost more than is gained by the use of such a model. Inflexible models might not be able to capture all of the data of a given organization, or new types of data that arise as an organization or industry develops. If one organization needs to make changes to its software architecture that are not compatible with the current standard, it may cause data sharing issues.

Examples ISO 10303 CAE Data Exchange Standard - includes its own data modelling language, EXPRESS ISO 15926 Process Plants including Oil and Gas facilities Life-Cycle data IDEAS Group Foundation Ontology agreed by defence departments of Australia, Canada, France, Sweden, UK and USA EN12896 CEN Reference Data Model For Public Transport. covering public transport scheduling, fare management, operations and passenger information Seabed Survey Data Model (SSDM) is a standard data model used in the oil and gas industry, first introduced in 2011. Common Education Data Standards (CEDS) is a data dictionary standard model sponsored by the U.S. government that is used widely in the United States education system SIF is an interoperability specification used as a standard data model in Australia, the UK, and the US.

References

External links Professional Petroleum Data Management Association Lite Data Model Energistics Energy Standards Resource Center Pipeline Open Data Standard Ed-Fi Data Standard

See also Common data model Reference model Conceptual schema Technical standard International standard Data governance

Worked examples

Example 1 — a first encounter with Industry standard data model

Start with the simplest possible case. Write down what Industry standard data model 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 Industry standard data model 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 Industry standard data model 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 Industry standard data model

In research: Industry standard data model 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 Industry standard data model 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: Industry standard data model is common in secondary-school and first-year university syllabi. It links to neighbouring topics Data modeling, so understanding it makes those chapters shorter.
In everyday life: Look for Industry standard data model 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 Industry standard data model in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Industry standard data model means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Industry standard data model out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Industry standard data model in simple terms?

Why does Industry standard data model 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 Industry standard data model?

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 Industry standard data model.