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Long-term management of datasets Hamish James Statistics New Zealand

Long-term management of datasets

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Long-term management of datasets. Hamish James Statistics New Zealand. Datasets at Statistics New Zealand. Statistics New Zealand’s core business revolves around the collection, analysis and publication of data Our main focus is on preparing accurate summary statistics for release - PowerPoint PPT Presentation

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Page 1: Long-term management of datasets

Long-term management of datasets

Hamish JamesStatistics New Zealand

Page 2: Long-term management of datasets
Page 3: Long-term management of datasets

Datasets at Statistics New Zealand

• Statistics New Zealand’s core business revolves around the collection, analysis and publication of data

• Our main focus is on preparing accurate summary statistics for release

• The Information Management team takes the lead in the long-term management of datasets, publications and records

Page 4: Long-term management of datasets

Strategic framework

Page 5: Long-term management of datasets

Maintaining an enduring national statistical resource acknowledges that information collected today is not only important to people now, but also to the researchers and policy makers of the future. The purpose of retaining datasets is to … allow for analysis in ways that were not thought of, or not possible, at the time the data was collected.

Page 6: Long-term management of datasets

Augu

st

Dec

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Janu

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Febr

uary

Mar

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May

June July

Augu

st

Sept

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Oct

ober

Nov

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Dec

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Janu

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May

June July

2007 2008 2009

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Page 7: Long-term management of datasets

http://www.flickr.com/photos/26664862@N04/2499573972/sizes/l/

Page 8: Long-term management of datasets

46

Page 9: Long-term management of datasets

Of a

person

Census

2006

As at 7 March 2006

In years

Age

46

Of a GEO

IRD GST

data

In the

period 1-31 March 2007

$(000)

NZ$

Sales

12,300

Data needs context

Page 10: Long-term management of datasets
Page 11: Long-term management of datasets

Digital preservation of datasets

Binary data + data model + functionality

stored onembodied

bycreated by

media format software

Page 12: Long-term management of datasets

Approach

• Complex data but low volumes of data: a file system based archive with manual and semi-automated processes

• Loss of knowledge occurs quickly: Internal ‘Retention, Preservation and Disposal’ Statements:– to identify data ready for archiving before

knowledge is lost– leave operational data with the operational units

• Offer archiving service for rest of the OSS

Page 13: Long-term management of datasets
Page 14: Long-term management of datasets

Records Management

DataArchiving

StatisticalMetadata

Page 15: Long-term management of datasets

Thank you

Hamish JamesManager, Information [email protected] 931 4237