1 / 16

Producing and managing metadata

Producing and managing metadata. Workshop on Writing Metadata for Development Indicators Lusaka, Zambia 30 July – 1 August 2012. Session outline. Generic statistical models Principles of good metadata management Benefits of managing metadata.

kimama
Download Presentation

Producing and managing metadata

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Producing and managing metadata Workshop on Writing Metadata for Development Indicators Lusaka, Zambia 30 July – 1 August 2012 Writing Metadata for Development Indicators

  2. Session outline • Generic statistical models • Principles of good metadata management • Benefits of managing metadata Writing Metadata for Development Indicators

  3. “Metadata collection is dull, expensive, and time consuming.” UNECE Guidelines for the Modelling of Statistical Data and Metadata (1995)

  4. Producing metadata • Metadata created and used throughout the production process • Reuse rather than recreate • National standards and systems Writing Metadata for Development Indicators

  5. Generic Statistical Business Process Model (GSBPM) Source: UNECE (2009) www.unece.org/stats/gsbpm.html Writing Metadata for Development Indicators

  6. Generic Statistical Information Model (GSIM) – under development DRAFT Source: UNECE (2012) www1.unece.org/stat/platform/display/gsim Writing Metadata for Development Indicators

  7. Managing metadata • Principles of good management • Statistical Metadata in a Corporate Context • Central systems and tools • Vocabularies • Classification management • Question databases Writing Metadata for Development Indicators

  8. Core principles: metadata handling • Consistent metadata across entire process • Active not passive • Reuse • Version control Writing Metadata for Development Indicators

  9. Core principles: metadata authority • Registration of metadata • Single source • One entry / update • Document variations from standards Writing Metadata for Development Indicators

  10. Variables Manager Management Application Survey Manager Other databases Statistics Portugal Variables Registry Data users Search Engine Source: Statistics Portugal (INE), Isfan, T.M., Variables Subsystem, paper presented at the Joint UNECE / EUROSTAT / OECD Work Session on Statistical Metadata (METIS), 2009 http://www.unece.org/fileadmin/DAM/stats/documents/ece/ces/ge.40/2009/mtg1/wp.17.e.pdf

  11. Core principles: part of business • Integral part of business • Matching metadata • Describe flow • Capture at source • Exchange and use Writing Metadata for Development Indicators

  12. Core principles: users • Identify users • Different formats and levels of detail • Availability Writing Metadata for Development Indicators

  13. Benefits of managing metadata • Use up-to-date classifications and definitions • Gain resources • Increase morale and productivity • Capitalising on lessons learned • Make it available to users • Easier for data users to understand • Increased trust in official statistics Writing Metadata for Development Indicators

More Related