scholarly journals Cooperation and Innovation in Data Linkage Creates A Linked, Multi-Sectoral Data Repository for Western Australia – The SIDR Project

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
Anna Ferrante ◽  
Tom Eitelhuber ◽  
Max Maller ◽  
Sean Randall ◽  
Adrian Brown ◽  
...  
Keyword(s):  
Family Relationships ◽  
Child Protection ◽  
Policy Development ◽  
Data Linkage ◽  
Academic Research ◽  
Data Repository ◽  
Social Investment ◽  
Data Resource ◽  
Design Elements ◽  
Linkage Model

IntroductionDuring 2019, the Western Australian (WA) government and Curtin University’s Centre for Data Linkage (CDL) created a large, de-identified researchable database – the Social Investment Data Resource (SIDR) – to support government in delivering targeted early interventions to young offenders and their families to reduce the likelihood of re-offending (the Target 120 program). Objectives and ApproachSIDR brings together administrative data from health, education, justice, child protection, disability and housing sectors. The linked, de-identified data provides an invaluable resource for actuarial assessment and social investment analytics to assess long-term costs and benefits of the Target 120 program. SIDR also provides an invaluable tool for academic research. SIDR adopted a distributed linkage model where linkage workload was shared between the Department of Health Data Linkage Branch who create and maintain the WA Data Linkage System (WADLS) and the CDL. Design elements of the model included a common spine (embedded into the infrastructure of both groups), methods for leveraging quality from WADLS, and inclusion of family relationships data from the WA Family Connections database. The linkage model within SIDR uses a combination of traditional and privacy-preserving record linkage (PPRL) methods. PPRL does not require release of personal identifiers; instead, data is irreversibly hashed prior to release for probabilistic linkage. ResultsThrough cooperation (distributed linkage) and innovation (a mix of traditional and PPRL linkage), the project has delivered a large, linked, cross-sectoral data resource for policymakers and researchers. Sharing of the linkage workload maximised the capacity and unique capabilities of each linkage unit. PPRL enabled ‘hard to get’ datasets from justice to be included. SIDR is being updated in 2020. Conclusion / ImplicationsSIDR provides a resource for whole-of-government policy development, service evaluation, academic research and social investment analytics for T120 and beyond. The SIDR linkage model has potential for adaptation and use elsewhere.

scholarly journals Using data linkage innovation and collaboration to create a cross-sectoral data repository for Western Australia

2019 ◽  
Vol 4 (3) ◽  
Author(s):  
Anna Ferrante ◽  
James Boyd ◽  
Tom Eitelhuber ◽  
Sean Randall ◽  
Adrian Brown ◽  
...  
Keyword(s):  
Family Relationships ◽  
Child Protection ◽  
Policy Development ◽  
Data Linkage ◽  
Academic Research ◽  
Health Data ◽  
Data Repository ◽  
Social Investment ◽  
Design Elements ◽  
Linkage Model

Background/rationaleThe Western Australian (WA) government and the Centre for Data Linkage (CDL) at Curtin University are creating a large, de-identified researchable database – the Social Investment Data Resource (SIDR) – to support a key government initiative called Target 120 (T120). T120 delivers targeted early interventions to young offenders and their families to reduce the likelihood of re-offending. Main AimThe SIDR brings together de-identified data from across government to be used for actuarial assessment and social investment analytics to assess long-term costs and benefits of T120 interventions. MethodsSIDR adopts a distributed linkage model where linkage workload is shared between the Department of Health Data Linkage Branch who curate WA Data Linkage System (WADLS) and the CDL. Design elements of the model included a common spine (embedded into the infrastructure of both groups), methods for leveraging quality from WADLS, and inclusion of family relationships data from the WA Family Connections database. The linkage model uses a combination of traditional and privacy-preserving record linkage (PPRL) methods. PPRL does not require release of personal identifiers; instead, data is irreversibly hashed prior to release for probabilistic linkage. The resultant SIDR repository has been designed to be securely and strictly managed. Access is by authorised, approved users only. ResultsUse of a distributed linkage model, coupled with traditional and PPRL methods, is an innovative yet pragmatic way of delivering data linkage services to a large, cross-sectoral research project. PPRL methods enable inclusion of otherwise excluded datasets in the project. Sharing of workload harnesses linkage capacity and capabilities across the state. The SIDR includes health data, education records, justice, child protection, disability and housing data. ConclusionSIDR provides a resource for whole-of-government policy development, service evaluation, academic research and social investment analytics for T120 and beyond. The SIDR distributed linkage model has potential for adaptation and use elsewhere.

scholarly journals Providing A Person-Centred View: Applying Linked Data to Government Policy Reform and Service Design

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
Sharon Williams ◽  
Kenneth Cheng ◽  
Mark Sipthorp
Keyword(s):  
Child Protection ◽  
Policy Development ◽  
Linked Data ◽  
Human Services ◽  
Data Linkage ◽  
Policy Reform ◽  
Service Design ◽  
Evidence Base ◽  
Demand Model ◽  
Health And Human Services

The application of linked data by government has limited visibility due to complexities in publishing details of the analysis and interventions. The Victorian Department of Health and Human Services (DHHS) acknowledges the value of linked data in the department’s strategic plan, and linked data has been used in many policy reform and service design activities over the past three years. IntroductionIn 2016 the Centre for Victorian Data Linkage (CVDL), located in DHHS, developed the Victorian Linkage Map (VLM) of 20 plus health and human services datasets linked with births and deaths data. The VLM has since been expanded to include education, justice and police data. DHHS has been an “early adopter” in applying linked data to policy development, service reforms and departmental operations to improve the health and wellbeing of the Victorian population. Objectives and ApproachThe presentation will provide an overview of multi-sector data linkage in Victoria, and the value of frequent collaborations between CVDL and DHHS staff in applying linked data to priority projects and reforms. It will consider the challenges of cross-jurisdictional linkage in Australia, highlighting initiatives which are expanding linked datasets available to DHHS. ResultsDHHS has undertaken a broad range of linked data projects which have provided an evidence base for departmental activities, including provision of hospital, housing, health surveillance and child protection services. Linked data has also been used to develop an integrated demand model, which forecasts impact of investment in one program area on other parts of the service system. Conclusion / ImplicationsThe active use of linked data by DHHS provides a model for other government departments to improve service design and delivery to vulnerable populations. DHSS is expanding linked-data use to additional areas, and further imbedding in departmental operations.

scholarly journals GAMS – An infrastructure for the long-term preservation and publication of research data from the Humanities

2018 ◽  
Vol 71 (1) ◽  
pp. 207-216 ◽  
Author(s):  
Johannes Hubert Stigler ◽  
Elisabeth Steiner
Keyword(s):  
System Architecture ◽  
Academic Research ◽  
Research Data ◽  
Data Repository ◽  
Data Repositories ◽  
Domain Specific ◽  
Preservation Policy ◽  
Long Term Preservation ◽  
Data Centres

Research data repositories and data centres are becoming more and more important as infrastructures in academic research. The article introduces the Humanities’ research data repository GAMS, starting with the system architecture to preservation policy and content policy. Challenges of data centres and repositories and the general and domain-specific approaches and solutions are outlined. Special emphasis lies on the sustainability and long-term perspective of such infrastructures, not only on the technical but above all on the organisational and financial level.

scholarly journals Linked government administrative data: Public or Private?

2019 ◽  
Vol 4 (3) ◽  
Author(s):  
Joel Stafford
Keyword(s):  
Public Good ◽  
Communication Networks ◽  
Administrative Data ◽  
Public Service ◽  
Policy Development ◽  
Data Linkage ◽  
The Public ◽  
Government Services ◽  
Service Contracts ◽  
Public Data

Background with rationaleIt is commonplace in policy discussions concerning administrative data linkage to presuppose that the data referred to is government services data. But this is not always the case. Much of the data public services hold is now collected via intermediaries, such as Non-Government Organisations, operating under service contracts with one or multiple government departments. Nor are these the only administrative data holdings applicable to clients of government services. There are also vast private administrative data holdings – including utility data, and consumer behaviour data. Creating and amending legislation that governs public service practices in this domain is increasingly made complex when private companies partner with governments agencies on policy development and evaluation work. Understanding the concept of public data for public good in light of this expanded sense of administrative data opens the door to deeper questions about the role linked data can play in government decision making. Main aimThe paper problematizes how legislation governing the linking of government administrative data is scoped and discusses how public service work can be affected by the opaque communication networks that increasingly span the public-private sector divide. Methods/ApproachAfter contextualising the challenge of legislating for administrative data linkage in the current work of the Office of the National Data Commissioner (ONDC) in Australia, this paper tests aspects of the proposed legislation against the extent to which it permits the possibility of ‘data laundering’. ResultsThe presentation demonstrates the need for greater sophistication in the specification of data linkage and sharing legislation in service of the public good. Conclusions This paper indicates that contemporary practices governing the linkage of government administrative data holdings is porous to the aims of extra-governmental organisations and may benefit by better incorporating legislative structures that govern private analytical services entities.

scholarly journals Az igazságügyi gyermekvédelem fejlődése Finkeytől napjainkig

2021 ◽  
Vol 4 (1) ◽  
pp. 109-124
Author(s):  
Barbara Katalin Herke-Fábos
Keyword(s):  
Twentieth Century ◽  
Juvenile Offenders ◽  
Family Relationships ◽  
Child Protection ◽  
Administrative Law ◽  
Young Offenders ◽  
Financial Vulnerability ◽  
Political Ideologies ◽  
Procedural Law

Child protection in justice is designed to prevent crime among children and juveniles, to keep them away from further crime, and to reintegrate young offenders into society. So, it also covers the areas of prevention, enforcement, and aftercare. As early as the beginning of the twentieth century, it was recognized that child protection covers the elimination of a child’s financial vulnerability, the prevention of moral misconduct, and the representation of the interests of both orphans and the unhealthy. The country’s opportunities have been influenced not only by political ideologies but also by the human and material casualties suffered as a result of the two world wars. The current focus of child protection in justice is always on socio-economic and political problems. Examining the personality and family relationships of juvenile offenders also went a long way in the designated period. The protection of children in justice also affects the areas of administrative law, criminal substantive and procedural law, and criminology. At the end of the paper, I compare the institution of patronage and the preventive patronage.

Creating Effective Rural Policies: Rural Lenses and Their Effectiveness

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Louis Helps
Keyword(s):  
North America ◽  
Rural Areas ◽  
Policy Development ◽  
Regional Policy ◽  
Academic Research ◽  
Relative Lack ◽  
Academic Literature ◽  
Working Paper ◽  
Canadian Provinces ◽  
The Government

As part of an international trend in regional policy development towards “mainstreaming” rural issues, multiple national and regional governments have created policy lenses designed to ensure that legislation is formed with the needs of rural areas taken into account. Despite a relative lack of academic research on the effectiveness of rural lenses, the idea has been imported to multiple jurisdictions, including several Canadian provinces. This presentation will offer a comparative overview of rural lenses in jurisdictions in Europe and North America in order to achieve a better understanding of their commonalities and divergences in methods, circumstances, and effectiveness. The presentation will make use of a review of the government and academic literature conducted for an upcoming working paper by Louis Helps and Dr. Ryan Gibson. This research is the foundation of a larger project that will seek to understand the feasibility of implementing rural lenses at the provincial level in Canada.

scholarly journals CNSA: a data repository for archiving omics data

Database ◽  
2020 ◽  
Vol 2020 ◽  
Author(s):  
Xueqin Guo ◽  
Fengzhen Chen ◽  
Fei Gao ◽  
Ling Li ◽  
Ke Liu ◽  
...  
Keyword(s):  
High Throughput Sequencing ◽  
Analytical Data ◽  
Academic Research ◽  
Open Data ◽  
Data Repository ◽  
Free Access ◽  
Omics Data ◽  
Sequencing Data ◽  
Data Standards ◽  
Sample Information

Abstract With the application and development of high-throughput sequencing technology in life and health sciences, massive multi-omics data brings the problem of efficient management and utilization. Database development and biocuration are the prerequisites for the reuse of these big data. Here, relying on China National GeneBank (CNGB), we present CNGB Sequence Archive (CNSA) for archiving omics data, including raw sequencing data and its further analyzed results which are organized into six objects, namely Project, Sample, Experiment, Run, Assembly and Variation at present. Moreover, CNSA has created a correlation model of living samples, sample information and analytical data on some projects. Both living samples and analytical data are directly correlated with the sample information. From either one, information or data of the other two can be obtained, so that all data can be traced throughout the life cycle from the living sample to the sample information to the analytical data. Complying with the data standards commonly used in the life sciences, CNSA is committed to building a comprehensive and curated data repository for storing, managing and sharing of omics data. We will continue to improve the data standards and provide free access to open-data resources for worldwide scientific communities to support academic research and the bio-industry. Database URL: https://db.cngb.org/cnsa/.

scholarly journals OPEN SCIENCE, KNOWLEDGE SHARING AND REPRODUCIBILITY AS DRIVERS FOR THE ADOPTION OF FOSS4G IN ENVIRONMENTAL RESEARCH

2019 ◽  
Vol XLII-4/W14 ◽  
pp. 107-110
Author(s):  
I. Iosifescu Enescu ◽  
G-K. Plattner ◽  
L. Bont ◽  
M. Fraefel ◽  
R. Meile ◽  
...  
Keyword(s):  
Knowledge Sharing ◽  
Open Source ◽  
Open Source Software ◽  
Academic Research ◽  
Open Science ◽  
Environmental Data ◽  
Environmental Research ◽  
Data Repository ◽  
User Requirement ◽  
Data Portal

<p><strong>Abstract.</strong> Support for open science is a highly relevant user requirement for the environmental data portal EnviDat. EnviDat, the institutional data portal and publication data repository of the Swiss Federal Research Institute WSL, actively implements the FAIR (Findability, Accessibility, Interoperability and Reusability) principles and provides a range of services in the area of research data management. Open science, with its requirements for improved knowledge sharing and reproducibility, is driving the adoption of free and open source software for geospatial (FOSS4G) in academic research. Open source software can play a key role in the proper documentation of data sets, processes and methodologies, because it supports the transparency of methods and the precise documentation of all steps needed to achieve the published results. EnviDat actively supports these activities to enhance its support for open science. With EnviDat, WSL contributes to the ongoing cultural evolution in research towards open science and opportunities for distant collaboration.</p>

scholarly journals Developmental vulnerability at age five among children who enter and progress through the child protection system in New South Wales, Australia: a cross-sectoral data linkage study

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Kathleen Falster ◽  
Mark Hanly ◽  
Rhiannon Pilkington ◽  
Marilyn Chilvers ◽  
Elizabeth Whittaker ◽  
...  
Keyword(s):  
Early Childhood ◽  
Child Protection ◽  
Data Linkage ◽  
New South ◽  
New South Wales ◽  
Population Level ◽  
Protection System ◽  
Similar Data ◽  
Targeted Interventions ◽  
South Wales

IntroductionA recent independent review of the child protection system in New South Wales (NSW), Australia, highlighted the need for whole-of-government reform to improve outcomes for children at risk of, or experiencing, maltreatment. Population-level evidence on outcomes of children who enter and progress through the child protection system is currently lacking. Objectives and ApproachWe aimed to quantify developmental vulnerability at age five among children who enter and progress through the child protection system during early childhood to demonstrate the value of cross-sectoral data linkage to inform and evaluate policy at a population-level. We used Australian Early Development Census (AEDC) data linked to cross-sectoral population datasets in NSW, including birth registrations, perinatal, and child protectionnotification and out-of-home care (OOHC) placement data. Linked AEDC data, collected in 2009 and 2012, areavailable for 153,670 NSW children. Socio-demographic and perinatal characteristics available in the linked data were used to characterise the population. Results21,179 (13.9%) children had ≥1 ‘screened in’ notification, 4927 (3.2%) had ≥1 substantiated abuse and neglect notification, and 2177 (1.4%) had ≥1 OOHC placement before their fifth birthday. Indicators of disadvantage and adverse birth outcomes were more common among children who progressed to higher levels of the child protection system. The proportion developmentally vulnerable on ≥1 domains of the AEDC increased for children who entered and progressed through the child protection system; from 21% of children with no contact with child protection before age five, to 39% of children with ≥1 ‘screened in’ notification, 50% with ≥1 substantiated notification, and 54% with ≥1 OOHC placement before their fifth birthday. Comparison of findings from other Australian jurisdictions with similar data will be discussed. Conclusion/ImplicationsThis study demonstrates there is scope to improve developmental outcomes through targeted interventions among children who become known to child protection during early childhood in NSW. Moreover, it illustrates that cross-sectoral data linkage can be used to inform and evaluate policy reforms to drive better outcomes for vulnerable children.

scholarly journals Population Data Centre Profile: SA NT DataLink (South Australia and Northern Territory)

2019 ◽  
Vol 4 (2) ◽  
Author(s):  
Matthias Schneider ◽  
Christopher Gordon Radbone ◽  
Stacy Ann Vasquez ◽  
Miroslav Palfy ◽  
Andrew Kristjan Stanley
Keyword(s):  
Service Use ◽  
Data Linkage ◽  
South Australia ◽  
Population Data ◽  
Data Access ◽  
Ethics Committees ◽  
Data Repository ◽  
Strict Adherence ◽  
Clinical Registries ◽  
Human Research Ethics

ApproachUniquely governed by a broad range of consortium partners, SA NT DataLink’s business model operates with flexibility to adapt to researcher priorities and government requirements. Its Data Linkage Unit routinely links data from over 50 sources with more than 57 million records on approximately 2.9 million individuals. It arguably provides the broadest range of linked data sources in Australia, focusing on administrative datasets and clinical registries from various health and human services domains. Operating in strict adherence with the separation principal, SA NT DataLink’s Data Integration Unit separately manages anonymised clinical and service use data in collaboration with the respective data custodians through the Custodian Controlled Data Repository, allowing approved analysts to efficiently access high quality linked anonymised data. To protect individual privacy throughout the process of data linkage and data provision, SA NT DataLink’s processes align with state, territory and federal privacy legislations. Operating consistently with National Health and Medical Research Council guidelines, linkage projects are subject to approvals by the relevant data custodians and approved Human Research Ethics Committees. Noteworthy OutputsSA NT DataLink has provided linkage services to over 160 data linkage projects, informing nationally significant research and policy initiatives, including initiatives to improve indigenous children’s hearing and child development. ConclusionTo respond to a changing data linkage landscape, SA NT DataLink is continuously reviewing and improving its systems, linkage processes and governance, addressing administrative, funding, data access, social licence and data linkage challenges and opportunities to meet increasing demand and new business developments.

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