New Zealand's student loan data integration project

2002 ◽  
Vol 36 (1) ◽  
pp. 93-95
Author(s):  
John Scott
1996 ◽  
Vol 86 (4) ◽  
pp. 936-945 ◽  
Author(s):  
Lind S. Gee ◽  
Douglas S. Neuhauser ◽  
Douglas S. Dreger ◽  
Michael E. Pasyanos ◽  
Robert A. Uhrhammer ◽  
...  

Abstract The Rapid Earthquake Data Integration project is a system for the fast determination of earthquake parameters in northern and central California based on data from the Berkeley Digital Seismic Network and the USGS Northern California Seismic Network. Program development started in 1993, and a prototype system began providing automatic information on earthquake location and magnitude in November of 1993 via commercial pagers and the Internet. Recent enhancements include the exchange of phase data with neighboring networks and the inauguration of processing for the determination of strong-motion parameters and seismic moment tensors.


Author(s):  
Bindi Kindermann ◽  
Sarah Hinde ◽  
Michael Abbondante

ABSTRACTObjectivesThe Australian Government’s new public sector data management agenda is initiating a national system for integrating public data and opening up access for policy makers and researchers. The Multi-agency Data Integration Project (‘the project’) is central to achieving these goals by bringing together nationally significant population datasets with the aim of streamlining the safe sharing of integrated government data. The project provides policy makers and researchers with safe access to linked, longitudinal information about the delivery of the Australian tax and transfer system, health services, along with rich demographic information. The project has been an essential step towards better enabling the Australian Government and research community to develop evidence-based policy and target services effectively, within a tight fiscal environment. The project has prompted government agencies to find new and more streamlined ways to work collaboratively to share and make best use of public data. ApproachThe first step of the project was to link a 2011 snapshot of four national administrative datasets with the 2011 Census. A cross-agency team of data analysts from five government agencies collaborated to evaluate the datasets and test whether the linked data could be used to answer policy questions. The linkage project included experimentation with different linking methodologies, linking strategies and information models for structuring the linkage. The evaluation tested whether the linked data was representative of key population groups of interest, and explored the validity of the content variables for measuring outcomes of interest. ResultsHigh linkage rates (between 80-95%) were achieved for the two-way linkages, and many population groups of interest were well represented. The work is confirming the value of the linkage for answering policy questions that had been difficult to address using existing approaches. The project developed ways of describing linkage quality to policy users and approaches to addressing linkage bias for different policy uses. ConclusionPublic sector data held by government has the power to improve life course outcomes for Australian people, households and businesses. The project has generated confidence and support for continued development of a central and streamlined integrated data system. It has also generated valuable insights about governance and how to scale up the linkage and dissemination system to support additional datasets and longitudinal data. This will maximise the value and utility of public data to support policy and research, in order to achieve a better understanding of, and deliver better outcomes for, the Australian community.


2021 ◽  
Vol 3 (2) ◽  
pp. 217-224
Author(s):  
Ratu Upisika Maha Misi ◽  
Johny Prihanto ◽  
Florentina Kurniasari ◽  
Noemi da Silva

Robologee is a sub-unit of PT. Bangun Satya Wacana is part of Kompas Gramedia which is focused in Education section for ages 7 to 12 years. Robologee is a diversification of the existing sub-units in PT. Bangun Satya Wacana. Robologee has branches located at Gramedia World so it is expected that it will have an impact on Gramedia traffic. Currently, Robologee is transforming in order to integrate data that will be stored in the cloud by Amazon Web Service.The goal of this project is that data can be accessed by various users and stored in one platform. In the analysis of the digital transformation project, 15 respondents have been determined who are parents as external customers. Based on the indicators used in DMM. It was found that Robologee's current condition is at the Advancing level. Based on the Roadmap this project is implemented for 1 year and consists of four stages. In the Budgeting analysis, Robologee has payback period of 1.7 years with an IRR of 7.512% greater than the expected return of 5% by the company. Then the NVP is in a positive number, so this project is feasible to implement.


Author(s):  
Lind Gee ◽  
Douglas Neuhauser ◽  
Douglas Dreger ◽  
Robert Uhrhammer ◽  
Barbara Romanowicz ◽  
...  

Author(s):  
Donald J. McCubbrey ◽  
Paul Bloom ◽  
Brad Younge

2019 ◽  
Vol 52 (4) ◽  
pp. 476-495
Author(s):  
Nicholas Biddle ◽  
Robert Breunig ◽  
Francis Markham ◽  
Chris Wokker

Author(s):  
Geoff Neideck

IntroductionDemand continues to grow for accessible and large scale linked data assets to answer complex cross-sector, and cross-jurisdiction research questions. To meet this demand, a number of Multi-source, Enduring Linked Data Assets (MELDAs) have emerged including the National Integrated Health Service Infrastructure (NIHSI), National Disability Data Asset (NDDA) and Multi-Agency Data Integration Project (MADIP). Using these MELDAs has proven much more efficient than project-specific linkages, and provides consistent national data assets for multiple uses. However, the development of these assets raises new challenges, including complex data models, governance, and access arrangements, and new approaches to analysis. Objectives and ApproachThrough developing the NIHSI Analytical Asset in collaboration with state/territory and Federal Government partners, the AIHW has identified challenges in traditional linkage approaches, which require innovative approaches to ensure high quality linkage. As AIHW commences scoping on new MELDAs, we are taking lessons from building the NIHSI and applying them to future design. ResultsAIHW’s development of MELDAs across jurisdictions and portfolios provides new learnings on how to address advanced real world data integration issues. This review will focus on lessons learnt at the Australian Institute of Health and Welfare (AIHW) working with new data sharing arrangements, applications of technologies and innovative approaches to streamline MELDA processes. Conclusion / ImplicationsThe learnings from the AIHW development of MELDAs will assist others developing enduring assets to establish effective sharing arrangements, governance and technical solutions to ensure efficient management. These learnings will save time and resources, and prompt further discussion on a gold standard for building MELDAs moving forwards.


Author(s):  
Brett Frazer

IntroductionAs there is no single unique identifier for Australians across government datasets, commonwealth and state data must be brought together using data integration methods. The ABS has developed the Person Linkage Spine (the 'Spine') as an enduring piece of data linking infrastructure that is the core of the Multi-Agency Data Integration Project (MADIP) data asset, and is used to combine person-centred datasets. Objectives and ApproachThe Spine was created using a staged deterministic linkage process combining three core datasets: Medicare Consumer Directory, Social Security and Related Information, and Personal Income Tax. The Spine aims to broadly cover all people resident in Australia at any point during the reference period of 2006 to 2019. The Spine is used in combination with anonymised name and address history information from the core datasets to facilitate linkage of datasets to the Spine from any time period within its scope. The Spine was recently updated with new data from the core datasets in a 'Spine Maintenance' process, a key part of which involves the use of graph based methods to identify spine elements requiring updating in the new version. Spine Maintenance was conducted in such a way as to ensure consistency between Spine versions, enabling linkages to be conducted and retained across different versions of the Spine, whilst still allowing for improvements to the Spine based on updated information. This talk will focus on the methodological challenges associated with creating, using and maintaining the Person Linkage Spine. ResultsThe Spine has been successfully utilised as the core of the MADIP data asset, enabling valuable longitudinal person centred analysis. Conclusion / ImplicationsThe Spine has created a foundational linking infrastructure which is a sound basis for extending across time (longitudinally) and expanding to include datasets from across a broad range of sectors and jurisdictions.


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