Metadata requirements for archiving structured data Alice Born Statistics Canada Joint UNECE/Eurostat/OECD Work Session on Statistical Metadata (9-11 April.

Slides:



Advertisements
Similar presentations
Input Data Warehousing Canada’s Experience with Establishment Level Information Presentation to the Third International Conference on Establishment Statistics.
Advertisements

Making the Case for Metadata at SRS-NSF National Science Foundation Division of Science Resources Statistics Jeri Mulrow, Geetha Srinivasarao, and John.
Metadata to Support the Survey Life Cycle Alice Born, Statistics Canada Joint UNECE/Eurostat/OECD Work Session on Statistical Metadata (METIS) Geneva,
Fitting a survey life cycle in the DDI Irene Wong Chuck Humphrey IASSIST Edinburgh May 2005.
Codebook Centric to Life-Cycle Centric In the beginning….
STATISTICS CANADA SURVEY LIFECYCLE WOLFVILLE, APRIL 2008 SURVEY LIFECYCLE Michel B. Séguin Atlantic DLI Training.
ISO as the metadata standard for Statistics South Africa
World Bank: Microdata Library Development Data Group.
ESCWA SDMX Workshop Session: Role in the Statistical Lifecycle and Relationship with DDI (Data Documentation Initiative)
Metadata: Integral Part of Statistics Canada Quality Framework International Conference on Agriculture Statistics October 22-24, 2007 Marcelle Dion Director.
Case Studies: Statistics Canada (WP 11) Alice Born Statistics UNECE Workshop on Statistical Metadata.
Using ISO/IEC to Help with Metadata Management Problems Graeme Oakley Australian Bureau of Statistics.
4 April 2007METIS Work Session1 Metadata Standards and Their Support of Data Management Needs Daniel W. Gillman Bureau of Labor Statistics Paul Johanis.
Recent Developments of the OECD Business Tendency and Consumer Opinion Surveys Portal coi/coordination
CASE STUDY: STATISTICS NORWAY (SSB) Jenny Linnerud and Anne Gro Hustoft Joint UNECE/Eurostat/OECD work session on statistical metadata (METIS) Luxembourg.
IMDB Registration of Survey Variables Dec 19, 2005.
Metadata Registries Workshop April 15, 1998 Slide 1 of 20 ANSI X Douglas D. Mann Stewardship Naming & Identification Classification.
United Nations Economic Commission for Europe Statistical Division Part B of CMF: Metadata, Standards Concepts and Models Jana Meliskova UNECE Work Session.
« 8-11 July 2008 « Metadata Life Cycle « STATISTICS PORTUGAL.
Statistics Portugal/ Metadata Unit Monica Isfan « Joint UNECE/ EUROSTAT/ OECD Work Session on Statistical Metadata.
February 17, 1999Open Forum on Metadata Registries 1 Census Corporate Statistical Metadata Registry By Martin V. Appel Daniel W. Gillman Samuel N. Highsmith,
Current and Future Applications of the Generic Statistical Business Process Model at Statistics Canada Laurie Reedman and Claude Julien May 5, 2010.
Metadata Architecture at StatCan MSIS 2008 Luxembourg, April 7-9, 2008 Karen Doherty Director General Informatics Branch Statistics Canada.
South Africa Case Study Update Matile Malimabe Executive Manager: Standards Acting Executive Manager: Data Management & Technology.
ESSnet on microdata linking and data warehousing in statistical production: Metadata Quality in the Statistical Data Warehouse.
Use of Administrative Data Seminar on Developing a Programme on Integrated Statistics in support of the Implementation of the SNA for CARICOM countries.
The data standards soup … Is the most exciting topic you can dream of.
Copyright 2010, The World Bank Group. All Rights Reserved. Principles, criteria and methods Part 2 Quality management Produced in Collaboration between.
Pilot Census in Poland Some Quality Aspects Geneva, 7-9 July 2010 Janusz Dygaszewicz Central Statistical Office POLAND.
Metadata management in National Statistical Institutes and researcher access: an example Zoltán Vereczkei Hungarian Central Statistical Office Methodology.
Developing and applying business process models in practice Statistics Norway Jenny Linnerud and Anne Gro Hustoft.
Regional Seminar on Promotion and Utilization of Census Results and on the Revision on the United Nations Principles and Recommendations for Population.
United Nations Oslo City Group on Energy Statistics OG7, Helsinki, Finland October 2012 ESCM Chapter 8: Data Quality and Meta Data 1.
Recent development in the metadata area at Statistics Sweden Klas Blomqvist
May 2007 Registration Status Small Group Meeting 1: August 24, 2009.
MetaPlus Klas Blomqvist Statistics Sweden Research and Development – Central Methods
Copyright 2010, The World Bank Group. All Rights Reserved. Recommended Tabulations and Dissemination Section B.
Metadata Framework for a Statistical Data Warehouse
Compilation of Meta Data Presentation to OG6 Canberra, Australia May 2011.
RECENT DEVELOPMENT OF SORS METADATA REPOSITORIES FOR FASTER AND MORE TRANSPARENT PRODUCTION PROCESS Work Session on Statistical Metadata 9-11 February.
Statistical Metadata Extensions to the X3.285 Metamodel By Daniel W. Gillman Chairman, NCITS/L8 U.S. Bureau of the Census.
Role of the IMDB in the CBA and IM Strategy Presented to Information Management Committee Standards Division June
Use of Standardized Metadata to Find, Select and Access Statistical Data - Experience of Statistics Canada - Joint UNECE/Eurostat/OECD Work Session on.
METIS 2011 Workshop Session III – National Implementation of the GSBPM Alice Born and Tim Dunstan Thursday October 6, 2011 Implementation of the GSBPM.
The business process models and quality issues at the Hungarian Central Statistical Office (HCSO) Mr. Csaba Ábry, HCSO, Methodological Department Geneva,
Presented By Margaret Hellen Atiro Uganda Bureau of Statistics at the United Nations Regional Seminar on Census Data Archiving 20 – 23 Sep 2011, Addis.
1 Process Orientation at statistics Sweden – Implementation and Initial Experiences IAOS Conference, October 15, 2008 Mats Bergdahl, Deputy Director Process.
Metadata models to support the statistical cycle: IMDB
Implementation of Quality indicators for administrative data
MANAGEMENT OF STATISTICAL PRODUCTION PROCESS METADATA IN ISIS
Prepared by: Galya STATEVA, Chief expert
Structural and reference metadata in the European Statistical System
DM WBS Functional View Develop and maintain Prepare internal data
Data Management: Documentation & Metadata
Survey phases, survey errors and quality control system
Generic Statistical Business Process Model (GSBPM)
Survey phases, survey errors and quality control system
Tomaž Špeh, Rudi Seljak Statistical Office of the Republic of Slovenia
Metadata in the modernization of statistical production at Statistics Canada Carmen Greenough June 2, 2014.
CENSUS MICRODATA : THAILAND
Alice Born, Statistics Canada
ISO/IEC (MFI-6) Scope definition & Document Structure
Metadata used throughout statistics production
Statistical System in India
Part B of CMF: Metadata, Standards Concepts and Models Jana Meliskova
The role of metadata in census data dissemination
METIS 2011 Workshop Session III – National Implementation of the GSBPM
Joint UNECE/Eurostat/OECD
GSBPM Giorgia Simeoni, Istat,
Presentation transcript:

Metadata requirements for archiving structured data Alice Born Statistics Canada Joint UNECE/Eurostat/OECD Work Session on Statistical Metadata (9-11 April 2008)

IMDB business model – archive focus Survey Survey instance Datasets Data elements Questionnaire Survey design Applications/ Software Products (COR) Value domains Frame and sample Datafiles in archive repository

Outline Overview of the integrated metadatabase (IMDB) in the survey life cycle Archive and disposal processes Metadata requirements for archiving Registration

Operations Management Quality Assurance AnalysisDissemination CollectEditEstimateTabulatePublish Operational Data Registers Survey Data Administrative Data Data Warehouses Operational Data Stores IMDB in the survey life cycle Design Metadata IMDB Archive + disposal IMDB

Processes for archiving and disposal 8. Archiving and disposal 8.1 Manage archive repository define archival format, format data, load data, record event dates, links to metadata registry (IMDB) 8.2 Preserve data and associated metadata Identify data/metadata, record archive request, transfer data/metadata, etc. 8.3 Dispose data and associated metadata Identify data to dispose, remove from archive, etc.

Types of metadata for archiving structured data (1) 1.Administrative metadata Maintaining and keeping track of the archived datafile Link to an IMDB record – SDDS or unique datafile identifier 2.Structural metadata Name of the datafile File format – record layout Software Storage media, location

Types of metadata for archiving structured data (2) 3. Survey and definitional metadata Already in the IMDB Survey description Questionnaires, questions, response choice Methodology Measures of data quality Variables (ISO 11179) Additional documentation – interviewer guide, coding tool

Administrative layer Organization Contact Documentation Identification Time Frame Keyword Theme Survey Universe Frame Survey instance Instrument Question Data file Methodology Instrument design Sampling Data source Error detection Imputation Estimation Quality evaluation Disclosure control Revisions and seasonal adjustment Data accuracy Data Element Data Element Concept Object Class Property Formula Conceptual Domain Value Domain Stewardship Identification Classification Statistical Activity Administered items

Registration status Steward Regular Registrar Standards Division Registrar Incomplete Candidate Recorded Qualified Standard Preferred standard Registration Authority Responsible Owner (Content) (Completeness, accuracy, adherence to quality and terminological description standards) Retired Historical Submitter Archived Disposed

Corporate Memory: Data and metadata for archive and disposal phases IMDB Operational data Registers Survey Data Administrative Data Clean Master Files Public Use Microdata Files Metadata for archive and disposal Archive repository + Disposal