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1. Software name:

CANCEIS (CANadian Census Edit and Imputation System)


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2. Contact details:

Name:Asma Alavi
email:asma.alavi@statcan.gc.ca
organisation:Statistics Canada

3. Main purpose of the software:

Editing, deterministic and nearest-neighbour donor imputation for large datasets and large number of edits.

4. Level of importance:

Strategic

5. Input format(s) (e.g. csv, xml,...):

Tab-delimited text, Excel spreadsheet or dbms table

6. Output format(s) (e.g. csv, xml,...):

Tab-delimited text and HTML

7. Programming language(s):

C#, .NET Framework 4.0

8. Code availability:

Closed source

9. Charges:

Limited version free of charge

10. Development status:

Production/stable

11. Operating system(s):

All operating systems supporting Microsoft .NET Framework 4.0.

12. User/natural language:

English

13. Demo/trial version available?:

No

14. Do you provide training and/or consultancy for this software for other organisations?:

Yes

15. Do you provide support for this software for other organisations?:

No

16. Does detailed documentation exist for developers?:

No

17. Does detailed documentation exist for users of the software?:

Yes

18. In which language(s) is the documentation available?:

English

19. Please provide a link to any documentation available online:

The link is provided only after a user contract has been signed.

20. Other documentation (please upload attachments or give details):

21. Please list other statistical organisations that are known to use this software:

 Domestic users (other than Canadian Census of Population)
• National Household Survey (NHS)
• Survey of Household Spending (SHS)
• Survey of Labour and Income Dynamics (SLID)
 International users
• Peru (2005 Census of Population)
• Argentina (2010 Census of Population)
• Brazil (Censuses of 2006 Agriculture & 2010 Population)
• Israel (2008 Census of Population)
• New Zealand (2009 General Social Survey)
• Switzerland and Brazil (2000 Censuses)
• UK (2011 Census of Population)

22. Other information:

Please contact Asma Alavi for further information on CANCEIS.

23. Is the software compliant with the HLG vision?*:

partially

24. In which areas is the software compliant with the HLG compliance criteria?:

supports input and output of data & metadata in open format

 

 

 

 

*Click here for details of the criteria for compliance with the HLG vision. (Owners of software have the primary responsibility for deciding whether software meets the criteria. However, in cases of disagreement the Sharing Advisory Board will adjudicate.) 


If you are familiar with the phases and sub-processes of the Generic Statistical Business Process Model, please add labels to this page to categorise the software, using the 'Edit labels' option at the bottom left of the screen. Please choose from the existing labels e.g. 'gsbpm4_1' for GSBPM 4.1, 'select sample'. You can view the full list of phases and sub-processes here.

Other users of this software are encouraged to evaluate it and share their experiences using the comment option on this wiki page, or by e-mail to support.stat@unece.org