Lesson plan

Data Format Description Language

Data Format Description Language (DFDL, often pronounced daff-o-dil) is a modeling language for describing general text and binary data in a standard way. It was published as an Open Grid Forum Recommendation in February 2021, and in April 2024 was published as an ISO standard. A DFDL model or schema allows any text or binary data to be read (or "parsed") from its native format and to be presented as an instance of an information set. (An information set is a logical representation of the data contents, independent of the physical format. For example, two records could be in different formats, because one has fixed-length fields and the other uses delimiters, but they could contain exactly the same data, and would both be represented by the same information set). The same DFDL schema also allows data to be taken from an instance of an information set and written out (or "serialized") to its native format. DFDL is descriptive and not prescriptive. DFDL is not a data format, nor does it impose the use of any particular data format. Instead it provides a standard way of describing many different kinds of data formats. This approach has several advantages. It allows an application author to design an appropriate data representation according to their requirements while describing it in a standard way which can be shared, enabling multiple programs to directly interchange the data.…

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Article summary

Data Format Description Language (DFDL, often pronounced daff-o-dil) is a modeling language for describing general text and binary data in a standard way. It was published as an Open Grid Forum Recommendation in February 2021, and in April 2024 was published as an ISO standard. A DFDL model or schema allows any text or binary data to be read (or "parsed") from its native format and to be presented as an instance of an information set. (An information set is a logical representation of the data contents, independent of the physical format. For example, two records could be in different formats, because one has fixed-length fields and the other uses delimiters, but they could contain exactly the same data, and would both be represented by the same information set). The same DFDL schema also allows data to be taken from an instance of an information set and written out (or "serialized") to its native format. DFDL is descriptive and not prescriptive. DFDL is not a data format, nor does it impose the use of any particular data format. Instead it provides a standard way of describing many different kinds of data formats. This approach has several advantages. It allows an application author to design an appropriate data representation according to their requirements while describing it in a standard way which can be shared, enabling multiple programs to directly interchange the data.…

Key claims

  1. date of establishment: 2003 — source: Wikipedia · confidence 0.95
  2. date of establishment: 2003 — source: Wikipedia · confidence 0.95
  3. publication date: 2021 — source: Wikipedia · confidence 0.95
  4. publication date: 2021 — source: Wikipedia · confidence 0.95
  5. publication date: 2024 — source: Wikipedia · confidence 0.95

Discussion questions

  1. Summarise the article in your own words. Which single claim would you verify first, and why?
  2. The record states that the date of establishment is "2003". What evidence would count against this claim?
  3. The record states that the date of establishment is "2003". What evidence would count against this claim?
  4. The record states that the publication date is "2021". What evidence would count against this claim?
  5. The record states that the publication date is "2021". What evidence would count against this claim?
  6. The record states that the publication date is "2024". What evidence would count against this claim?
  7. Which claim in this article is most likely to be revised as the sources update? How would you check its current status?
  8. If two sources disagreed about one of these facts, what would you need in order to trust one over the other?

Bibliography

  1. Wikipedia https://en.wikipedia.org/w/index.php?oldid=1356956468

Key claims and bibliography are generated from the same tracked claims and sources as the article page.