What is metadata? - PowerPoint PPT Presentation

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What is metadata?

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Statistical metadata can be categorised in many different. ways - and it is! ... Do you categorise your metadata (e.g. state, process) and if you do, how? ... – PowerPoint PPT presentation

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Title: What is metadata?


1
What is metadata?
  • Anne Gro Hustoft, Statistics Norway
  • agt_at_ssb.no

2
  • The content of the course
  • A short introduction to different aspects of
    metadata
  • Group dicussion

3
  • Content
  • General aspects quality and human issues
  • Users
  • From vision to practice
  • Demonstrations
  • Integrated metadata system
  • International metadata work
  • Group discussions to exchange knowledge and views

4
Metadata Data about data Appears in many
contexts, and with different meaning to
different people
5
Metanet surveyDo you consider metadata to be
documentation and/or data about data and/or
structured information
Documentation Data about data Structured information
All organisations 100 163 102
NSI 62 106 70
Data archive 20 25 16
Other 18 32 16
6
  • Statistical metadata has two overall objectives
  • to inform the users about the meaning of the data
  • to guide statisticians in the processing of data
  • One possible definition (Kent et al., Stat.
    Netherlands)
  • All the information needed for and relevant to
  • collecting, processing, disseminating, accessing,
    understanding
  • and using statistical data.

7
Extract from participants list
Country INT
United Kingdom 44
Hungary 36
Spain 34
Italy 39
Germany 49
Latvia 371
8
Abbreviations
Statistical Sample Bureau Storage
Service Standards Sciences Simple Statistics
Bureau Super Statistics Business
?
SSB
- Statistisksentralbyrå
9
  • The different users of metadata
  • (Kent et al., Stat. Netherlands)
  • data providers and interviewers
  • need it to understand the data to be collected
  • statisticians
  • need it for the whole statistical process
  • end-users
  • need it to find, select, understand, evaluate
    and
  • analyse data for their own purpose
  • other users

10
  • Statistical metadata can be categorised in many
    different
  • ways - and it is!
  • An example of a rough categorisation
  • State metadata define concepts (variables,
    classifications...)
  • Process metadata methods related to statistical
    processes
  • (imputation, revision.)

11
  • Metadata is also important for
  • - improved quality
  • increased efficiency
  • better communication
  • shared knowledge

12
  • Group discussion
  • What is metadata?
  • Do you categorise your metadata (e.g. state,
    process)
  • and if you do, how?
  • What is metadata used for?
  • Ideally
  • In your everyday work
  • In the future
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