DAMA Canberra Chapter

DAMA Canberra Chapter's Corporate members include the Australian Bureau of Statistics (ABS), Australian Taxation Office (ATO), Centrelink, Customs, Department of Defence (DoD), Department of Veterans' Affairs (DVA), Department of Immigration and Citizenship (DIAC), Department of Families, Housing, Community Services and Indigenous Affairs (FaHCSIA) and Medicare Australia. There are also a number of individual members who are independent contractors and consultants working in government agencies.

The Chapter holds bi-monthly meetings and hosts regular meetings of the Metadata Implementors Group that focuses on metadata standards, metadata registries, and other emerging metadata issues.

The major benefit sought by members is to be part of an informal network to hear guest speakers, network, and exchange ideas with data managers who have similar responsibilities in other organisations. To assist the networking, DAMA provides cocktails or a dinner with each meeting. On average thirty members will attend each meeting.

Upcoming Meetings: 

Topic:		ABS Data Quality Framework (DQF)  [view/hide details] The following is a summary from the ABS's website. ABS recommends that when assessing the quality of a data item, dataset or other statistical product, a quality statement is developed. A quality statement is a presentation of information about the quality of a data item or a collection of data items, using the ABS DQF. The purpose of quality statements is to clearly communicate key characteristics of the data which impact on quality, so that potential users can make informed decisions about fitness for use. Quality statements should report both the strengths and limitations of the data. Among national statistical agencies, quality is generally accepted as "fitness for purpose". Fitness for purpose implies an assessment of an output, with specific reference to its intended objectives or aims. Quality is therefore a multidimensional concept which does not only include the accuracy of statistics, but also stretches to include other aspects such as relevance and interpretability. The ABS DQF has been designed to be used in evaluating the quality of statistical collections and products (e.g., survey data, statistical tables), including administrative data. Depending on the nature of the collection or product being assessed, some dimensions will be more appropriate or important than others. For example, traditional measures of statistical accuracy for sample-based collections, such as sampling error and non-response error, may not apply to datasets which are by-products of administrative collections. For administrative data, other factors such as timeliness or relevance, for example, may be more important. We recommend that judgment is used in making assessments of quality, and that the quality dimensions are evaluated appropriately for the particular context. The presentation will describe the ABS DQF, to enable its use in activities including the following: defining the quality of a data item or collection of data items (preparing a quality statement); assessing data in the context of a data need; and identifying data gaps and areas of future improvement.
When:		Date - Tuesday, 21st July 2009 4:30pm - Presentation 5:30pm - Drinks & snacks
Where:		Orion Room Southern Cross Club, Woden The room is at the top of the stairs. Look for the DAMA sign-in sheet on the foyer counter
Parking:		Free underground parking is available at the club.
Speaker:		TBD [view/hide bio] Biography:
RSVP:		Please RSVP to by COB Monday 20th July 2009.

Contacts: 

Previous Meetings: