This page contains links to various NSS resources.
ABS Support for Open Data Initiatives
The ABS has developed a quick reference guide for Australian governments and their agencies showing how the ABS can actively support open data efforts. More information can be found on the Open Data Initiatives webpage.
Good data management practice is one of the foundation stones for building a solid statistical resource for Australia. DATAfitness helps you understand how exercising good data management practices can keep your data healthy.
Managing data quality is another important element of good data management practice. Data Quality Online assists data suppliers, collectors and users to prepare data quality statements using the ABS Data Quality Framework. These help data users to make informed decisions about the fitness for use of data by clearly communicating key characteristics which may impact on its quality. Further information on Data Quality can found on the Data Quality webpage.
Data Management Practice
Metadata is data that describes your data. Read these case studies to find out how some businesses are achieving real advantages.
A Good Practice Guide to Sharing your Data with Others provides a non-technical introduction to data sharing and describes the key components of data sharing arrangements and agreements. The guide also provides a basic framework for data sharing agreements.
Directory of Statistical Resources
The Statistical Collections Directory provides a useful on-line tool to assist policy, research and decision makers identify and access reference information about government statistical collections.
Education Services assists educators in communicating to students the importance of using quality statistical data to inform and critically analyse their research.
Information Development Plans
The Information Development Plans link to published Information Development Plans on various fields of statistics.
NHMRC Principles for accessing and using publicly funded data for health research
The National Health and Medical Research Council (NHMRC) has developed Principles for Accessing and Using Publicly Funded Data for Health Research on the advice of researchers, consumer representatives and organisations that hold data. The Principles provide information and guidance for researchers and organisations when researchers seek permission from organisations to access and use data for their research.
The Principles have the support of the Consumer Health Forum of Australia, the Australian Government Department of Health, the Australian Institute of Health and Welfare, the Australian Bureau of Statistics, the Australian Government Department of Human Services, the Australian Electoral Commission, the Australian Institute of Aboriginal and Torres Strait Islander Studies and Universities Australia.
The Principles and relevant documents are available on the NHMRC website.
National Best Practice Guidelines
The National Best Practice Guidelines for Data linkage activities relating to Aboriginal and Torres Strait Islander people provides guidelines for linking data in administrative datasets.
The NSS Handbook provides detailed information covering the statistical cycle from planning statistical activities to disseminating and evaluating statistical information.
NSS Key Principles
The NSS Key Principles provide a framework for agencies to use when designing data collections and systems, looking at the requirements of management information systems, and in considering the evaluation of programs.
NSS News keeps the statistical community in touch with developments across the National Statistical Service (NSS).
Statistical Skills for Official Statisticians
Statistical Skills for Official Statisticians provides guidance on the statistical skills, knowledge and expertise statisticians require to produce official statistics within the ABS and wider NSS throughout the end to end production cycle.
Statistical Data Integration Involving Commonwealth Data
Statistical data integration involves combining information from different administrative and/or survey sources to provide new datasets for statistical and research purposes.
Statistical Spatial Framework
Statistical Spatial Framework will provide a common approach to connecting people-centric (socio-economic) information to a location, and improve the accessibility and usability of spatially enabled information.