Data

NT DataLink Demonstration Project Dataset (linking perinatal, immunisation, school records, AEDI statistics across child cohort 1993-2006)

Charles Darwin University
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=https://researchers.cdu.edu.au/en/datasets/nt-datalink-demonstration-project-dataset-linking-perinatal-immun&rft.title=NT DataLink Demonstration Project Dataset (linking perinatal, immunisation, school records, AEDI statistics across child cohort 1993-2006)&rft.identifier=https://researchers.cdu.edu.au/en/datasets/nt-datalink-demonstration-project-dataset-linking-perinatal-immun&rft.publisher=Charles Darwin University&rft.description=Demographic and health statistics for over 50,000 children. The dataset is the basis of a project undertaking an early childhood data linkage demonstration to link unit record level data across health and education administrative data sets for the entire Northern Territory population. This will create a unique opportunity to examine whether using such data can reliably inform us about early childhood development and learning pathways. NT DataLink will link the following Northern Territory population-based administrative datasets: perinatal data, the Client Master Index (for data linkage purposes only), childhood immunisation data, the National Assessment Program – Literacy and Numeracy [NAPLAN] data and the Australian Early Development Index [AEDI] data. The linked childhood dataset will enable population wide analyses not previously possible. It will allow the team to systematically investigate experiences and conditions that contribute to children’s cognitive, social, behavioural, physical development and school achievement. The project covers various perinatal and child health risk factors and their influence on children’s development as they enter school and undertake standardised child-development and literacy and numeracy tests. The study includes highly policy relevant research questions and the data-linkage methodology if proven feasible will provide a powerful means of monitoring the key determinants and outcomes of direct interest to the national and NT government priorities for overcoming Indigenous disadvantage and closing the gap between Indigenous and non-Indigenous Australian’s mortality, morbidity, socioeconomic advantage and participation.&rft.creator=Anonymous&rft.date=2013&rft.coverage=northlimit=-10.688946082752; southlimit=-26.141876092253; westlimit=128.97509738803; eastLimit=138.11572238804; projection=WGS84&rft_subject=Northern Territory children&rft_subject=National Assessment Program - Literacy and Numeracy&rft_subject=clinical dataset&rft_subject=demographics&rft_subject=population wide analysis&rft_subject=Northern Territory schools&rft_subject=Northern Territory health care&rft_subject=health services&rft_subject=maternal health&rft_subject=perinatal health&rft_subject=child health&rft_subject=early childhood&rft_subject=Australian Early Development Index&rft_subject=Aboriginal and Torres Strait Islander Health&rft_subject=MEDICAL AND HEALTH SCIENCES&rft_subject=PUBLIC HEALTH AND HEALTH SERVICES&rft_subject=Aboriginal and Torres Strait Islander Education&rft_subject=EDUCATION&rft_subject=SPECIALIST STUDIES IN EDUCATION&rft_subject=Community Child Health&rft_subject=Continuing and Community Education&rft_subject=EDUCATION SYSTEMS&rft.type=dataset&rft.language=English Access the data

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Contact Information

Street Address:
Menzies School of Health Research, Charles Darwin University, Ellengowan Dr, Casuarina NT 0810



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Mediated access. Please contact Dr John McKenzie to find out about this dataset and whom to approach to gain access to similar datasets. John.McKenzie@menzies.edu.au

Full description

Demographic and health statistics for over 50,000 children. The dataset is the basis of a project undertaking an early childhood data linkage demonstration to link unit record level data across health and education administrative data sets for the entire Northern Territory population. This will create a unique opportunity to examine whether using such data can reliably inform us about early childhood development and learning pathways. NT DataLink will link the following Northern Territory population-based administrative datasets: perinatal data, the Client Master Index (for data linkage purposes only), childhood immunisation data, the National Assessment Program – Literacy and Numeracy [NAPLAN] data and the Australian Early Development Index [AEDI] data. The linked childhood dataset will enable population wide analyses not previously possible. It will allow the team to systematically investigate experiences and conditions that contribute to children’s cognitive, social, behavioural, physical development and school achievement. The project covers various perinatal and child health risk factors and their influence on children’s development as they enter school and undertake standardised child-development and literacy and numeracy tests. The study includes highly policy relevant research questions and the data-linkage methodology if proven feasible will provide a powerful means of monitoring the key determinants and outcomes of direct interest to the national and NT government priorities for overcoming Indigenous disadvantage and closing the gap between Indigenous and non-Indigenous Australian’s mortality, morbidity, socioeconomic advantage and participation.

Data time period: 1993 to 2006

138.11572,-10.68895 138.11572,-26.14188 128.9751,-26.14188 128.9751,-10.68895 138.11572,-10.68895

133.54540988804,-18.415411087502

Subjects
Aboriginal and Torres Strait Islander Education | Aboriginal and Torres Strait Islander Health | Australian Early Development Index | Community Child Health | Continuing and Community Education | Education | Education Systems | Medical and Health Sciences | National Assessment Program - Literacy and Numeracy | Northern Territory children | Northern Territory health care | Northern Territory schools | Public Health and Health Services | Specialist Studies in Education | child health | clinical dataset | demographics | early childhood | health services | maternal health | perinatal health | population wide analysis |

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