scholarly journals Holistic Approach to Data Linkage at Monash University

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
Nadine Andrew ◽  
Chris Mac Manus ◽  
Komathy Padmanabhan ◽  
Mark Lucas ◽  
Anitha Kannan
Keyword(s):  
Knowledge Sharing ◽  
Community Of Practice ◽  
Best Practice ◽  
Data Linkage ◽  
Health Data ◽  
Data Governance ◽  
Clinical Registry ◽  
Data Infrastructure ◽  
Research Activities ◽  
The Government

IntroductionMonash University’s health researchers are at the forefront of Health, Epidemiological and Translational research. Powered by research funding of over $69 million per year, Monash encompasses 13+ registries, 44+ clinical trials and 47+ cohort studies underpinned by complex multimodal, large and often sensitive datasets. Many of these research activities are occurring in isolation. Opportunities exist to better deliver higher impact research at scale through capacity building in data sharing. Objectives and ApproachWe have designed this session to demonstrate how significant investment in health data platform infrastructure by a University, can support best practice in data linkage and health research. ResultsContent will include: An overview of Helix – people as a platform, research stakeholders, and key capabilities. Institutional data governance and sharing capabilities – linking two or more researcher held datasets exampled by a use-case of linking biobank data to a clinical registry dataset. Monash Helix data linkage working group – established to develop a community of practice to advance data linkage capabilities across Monash with a focus on: knowledge sharing; ethics, governance and data security; analytic training; and improved access to external administrative datasets. Secure eResearch Platform (SeRP) – developed by Swansea University who have partnered with Monash University to bring their best practice framework and technologies in managing sensitive health data to Monash researchers and their national and international collaborators. Future directions - participation in defining the strategic priorities of the Health Studies National Data Asset Program by creating distributed data infrastructure capability to develop, share and link FAIR data collections from the government, research and health care sectors. Conclusion/ImplicationsThe session will facilitate discussions on how we can build on these activities, both nationally and internationally, to develop a community of practice around knowledge sharing and best practice in data linkage.

scholarly journals The LCA Commons—How an Open-Source Repository for US Federal Life Cycle Assessment (LCA) Data Products Advances Inter-Agency Coordination

2022 ◽  
Vol 12 (2) ◽  
pp. 865
Author(s):  
Ezra Kahn ◽  
Erin Antognoli ◽  
Peter Arbuckle
Keyword(s):  
Life Cycle Assessment ◽  
Life Cycle ◽  
Environmental Impact ◽  
Community Of Practice ◽  
Federal Government ◽  
Open Data ◽  
Data Infrastructure ◽  
The Us ◽  
The Government ◽  
Us Federal Government

Life cycle assessment (LCA) is a flexible and powerful tool for quantifying the total environmental impact of a product or service from cradle-to-grave. The US federal government has developed deep expertise in environmental LCA for a range of applications including policy, regulation, and emerging technologies. LCA professionals from across the government have been coordinating the distributed LCA expertise through a community of practice known as the Federal LCA Commons. The Federal LCA Commons has developed open data infrastructure and workflows to share knowledge and align LCA methods. This data infrastructure is a key component to creating a harmonized network of LCA capacity from across the federal government.

scholarly journals Centre for Health Record Linkage

2020 ◽  
Vol 4 (2) ◽  
Author(s):  
Katie Irvine ◽  
Rick Hall ◽  
Lee Taylor
Keyword(s):  
Record Linkage ◽  
Linked Data ◽  
Best Practice ◽  
Data Linkage ◽  
New South ◽  
Data Driven ◽  
Health Record ◽  
Data Governance ◽  
South Wales ◽  
Data Informed

ContextThe Centre for Health Record Linkage (CHeReL) was established in 2006 as a dedicated health and human services data linkage facility for two Australian jurisdictions, New South Wales and the geographically-nested Australian Capital Territory. The two jurisdictions have their own Governments and separate Health and Human Service systems. Purpose and OperationsThe primary purpose of the CHeReL is to make linked administrative and routinely collected healthdata available to researchers and government within relevant regulatory and governance frameworks.The CHeReL’s data governance and technical operations draw on international best practice andhave been refined by learnings from other data linkage centres. OutcomesOver twelve years of operation, more than 2,320 unique investigators from 140 institutions haveused the CHeReL, producing 615 publications in peer-reviewed literature. A robust pipeline of newdevelopment is expected to further amplify the use of linked data for cutting edge medical researchand support a vision of data-informed policy and data-driven government services.

scholarly journals COMMUNITY OF PRACTICE AS ONE OF THE COMPETITIVE ADVANTAGE OF ORGANIZATION

2012 ◽  
Vol 6 (2) ◽  
pp. 85
Author(s):  
Veronica Veronica ◽  
Angellia Debora Suryawan
Keyword(s):  
Knowledge Management ◽  
Best Practices ◽  
Knowledge Sharing ◽  
Community Of Practice ◽  
Best Practice ◽  
Private Bank ◽  
Literature Study ◽  
Learning Problem ◽  
Small Organizations ◽  
The Stability

Many organizations in the world realize that to maintain the stability of an organization within a lot of turnover in human resources, Knowledge Management (KM) is a matter that cannot be forgotten. Since by storing the knowledge, organizations can continue to distribute the knowledge to people and to develop it into a practice of learning, problem solving, and then at the end it becomes a “Best Practice”. Sharing knowledge becomes the main reference in KM in large and small organizations. By multiplying the activities of knowledge sharing among employees in an organization, it can improve the competitiveness of the organization. All activities in knowledge sharing will be easier if it is formed in a Community of Practice (CoP). CoP can be regarded as a best method. In addition there are many benefits that can be spawned by it, such as in the development, dissemination of knowledge to the development of culture in an organization. The method in this paper uses literature study by describing best practices and case studies in a private bank in Indonesia. By forming the CoP, it is expected to motivate employees to share knowledge for the improvement of organizational performance.Keywords: organization, knowledge management, community of practice

scholarly journals Collaboration with First Nations Communities to Produce Tailored Community-Driven Results

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
Graham Mecredy ◽  
Pam Naponse-Corbiere ◽  
Jennifer Walker
Keyword(s):  
First Nations ◽  
Population Health ◽  
Indigenous Health ◽  
Research Question ◽  
Health Data ◽  
Data Governance ◽  
Research Knowledge ◽  
Additional Tool ◽  
The Government ◽  
Health System Data

IntroductionWhile First Nations communities are well aware of the unique health challenges and requirements of their populations, research evidence is often needed to support this knowledge. First Nations communities face continual challenges accessing data pertaining to the health of their people that is held by the government or other organizations. Objectives and ApproachThrough the Applied Health Research Question (AHRQ) program at ICES, First Nations communities in Ontario, Canada, have an avenue to access vital population health information about their people. While keeping questions of privacy, data sovereignty, data governance, and the OCAP® principles at the forefront, First Nations partners are active members and collaborators on community driven projects that are of importance to their communities. An Indigenous health data training program has also been developed to run concurrently with these projects, to enhance research knowledge and capacity within partner First Nations communities. ResultsFirst Nations community partners are the main drivers in deciding and refining the research questions for their projects. They are engaged throughout the project process to ensure the production of results that suit the specific needs of the partners. Project results are only shared with the partners, who utilize and disseminate them as appropriate within their communities. Conclusion / ImplicationsWith access to previously difficult to access population health data sources, First Nations communities are able to use health system data as an additional tool to better plan and implement community health programs, to lobby for additional funding, and ultimately to contribute to positive policy change.

scholarly journals Privacy, Ethics and Information Sharing of New Zealand’s Integrated Data Infrastructure (IDI): A discussion of the issues, challenges and opportunities

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
June Atkinson
Keyword(s):  
Social Inequalities ◽  
Data Linkage ◽  
Rapid Expansion ◽  
Data Governance ◽  
Privacy Regulation ◽  
Data Infrastructure ◽  
Data Ethics ◽  
Regulatory Constraints ◽  
Wide Range ◽  
The Impact

IntroductionNew Zealand’s (NZ) Integrated Data Infrastructure (IDI) has rapidly expanded since our 2016 IPDLN conference update. Researchers have available a wide range of administrative and survey data. Even major earthquake damage to a Statistics NZ building in late 2016 has not halted progress with expanding the IDI and its usage. Objectives and ApproachTo provide an update on the current state of the IDI and its use by the NZ research community. To highlight some key areas that need further discussion because of the IDI’s rapid growth, especially concerning : Privacy, regulation and governance: how to make progress within appropriate regulatory constraints, especially around maintaining confidentiality, data sovereignty, data ethics and data security. Capacity building: what are the best ways to build multidisciplinary skills for new IDI users, share code and knowledge and what types of networking options work best? Cross-sectoral data linkage: to maximise the value of the IDI. ResultsIn the last two years there has been a rapid expansion of external datalabs with access to the IDI (now around 33) and with the number of researchers using these datalabs (around 650). This has resulted in many useful research outputs; but it has also highlighted some areas that need more consideration including: Data sovereignty: NZ needs to ensure a strong role of Māori (Indigenous NZers) in data governance to ensure that IDI data are used to maximise reduction in health and social inequalities. Options for assisting new IDI users and exploring the best ways of sharing code, knowledge and networking. To maximise value there needs more focus on use of cross-sectoral data linkage (to better understand the impact of social determinants on long-term health). Conclusion/ImplicationsThere has been rapid expansion of the scope and use of the IDI in New Zealand. But to ensure the continuation of the success to date, even more attention needs to be paid to such issues as data governance and data protection.

scholarly journals Access to Linked Administrative Data Through an Indigenous Cultural Lens

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
Simon McBeth
Keyword(s):  
Cultural Values ◽  
Administrative Data ◽  
Review Process ◽  
Current Model ◽  
Good Faith ◽  
Data Governance ◽  
Data Infrastructure ◽  
Government Data ◽  
The Government ◽  
Customary Practices

IntroductionStats NZ provides the world-leading Integrated Data Infrastructure (IDI) to help improve New Zealanders’ lives. Ngā Tikanga Paihere (the Tikanga Framework) is a tool designed to ensure data use is carefully considered, and practice occurs in good faith. It also aims to build and maintain public trust and confidence in the way Stats NZ manages administrative data in the IDI. It draws on general customary concepts from Te Ao Māori (Māori world) and sits in alignment with the current model of the Five Safes Framework for access. Objectives and ApproachTikanga are appropriate customary practices or ‘layers of the culture’ developed by Māori communities and individuals and informed by common cultural values and concepts. Stats NZ applies the framework when reviewing applications to use data in the IDI and Longitudinal Business Database (LBD). The framework is used with the original ‘Five Safes’ framework in the review process to ensure that data will be used in an appropriate and collaborative way, without marginalising any specific populations. In research proposals relating specifically to Māori, researchers are asked to demonstrate what value their work will bring to Māori communities and how the researchers will work collaboratively with those communities. ResultsUse of Ngā Tikanga Paihere has been well received. Stats NZ is now looking to broaden the use of Ngā Tikanga Paihere to assess all integrated data research proposals that focus on minority, identifiable, and marginalised populations. Conclusion / ImplicationsWhile Ngā Tikanga Paihere does not resolve data governance or cultural licence issues, it encourages researchers to actively engage and collaborate with Māori groups when these communities are potentially impacted, or when the project might use data about these communities. Stats NZ sees data governance and cultural licence matters as an ongoing conversation between agencies and Treaty/Te Tiriti partners. Ngā Tikanga Paihere should be a tool to help guide the government data system to work with Māori data ‘in good faith’.

KAJIAN LITERATUR MODEL KONSEPTUAL KEBERHASILAN E-GOVERNMENT

2018 ◽  
Vol 2 (1) ◽  
Author(s):  
Bernadus Gunawan Sudarsono ◽  
Sri Poedji Lestari
Keyword(s):  
Information Technology ◽  
Best Practice ◽  
Public Services ◽  
Developed Countries ◽  
Internet Technology ◽  
Electronic Government ◽  
Digital Government ◽  
Management Ethics ◽  
The Government

The use of internet technology in the government environment is known as electronic government or e-government. In simple terms, e-government or digital government is an activity carried out by the government by using information technology support in providing services to the community. In line with the spirit of bureaucratic reform in Indonesia, e-government has a role in improving the quality of public services and helping the process of delivering information more effectively to the public. Over time, the application of e-Government has turned out to have mixed results. In developed countries, the application of e-Government systems in the scope of government has produced various benefits ranging from the efficiency of administrative processes and various innovations in the field of public services. But on the contrary in the case of developing countries including Indonesia, the results are more alarming where many government institutions face obstacles and even fail to achieve significant improvements in the quality of public services despite having adequate information and communication technology. The paradigm of bureaucrats who wrongly considers that the success of e-Government is mainly determined by technology. Even though there are many factors outside of technology that are more dominant as causes of failure such as organizational management, ethics and work culture. This study aims to develop a model of success in the application of e-Government from several best practice models in the field of information technology that have been widely used so far using literature studies as research methods. The results of the study show that the conceptual model of the success of the implementation of e-Government developed consists of 17 determinants of success..Keywords: Model, Factor, Success, System, e-Government

KETIDAKEFEKTIFAN KEBIJAKAN ANTI-DUMPING PRODUK IMPOR BAJA INDONESIA: SEBUAH ANALISIS AWAL

2017 ◽  
Vol 11 (2) ◽  
pp. 143-168
Author(s):  
Aditya Paramita Alhayat
Keyword(s):  
Government Regulation ◽  
Best Practice ◽  
Secondary Data ◽  
Information Services ◽  
Global Trade ◽  
Trade Patterns ◽  
Safeguard Measures ◽  
The Us ◽  
Before And After ◽  
The Government

Meskipun Indonesia telah mengenakan tindakan anti-dumping terhadap beberapa jenis produk baja, namun impor produk tersebut masih meningkat. Salah satu kemungkinan penyebabnya adalah importasi melalui produk yang dimodifikasi secara tidak substansial atau melalui negara ketiga yang tidak dikenakan tindakan anti-dumping, yang dalam perdagangan internasional umum disebut sebagai praktik circumvention. Studi ini ditujukan untuk membuktikan bahwa circumvention mengakibatkan tindakan anti-dumping atas impor produk baja Indonesia tidak efektif dan untuk memberikan masukan berdasarkan praktik di negara lain supaya kebijakan anti-dumping Indonesia lebih efektif. Circumvention dianalisis dengan membandingkan pola perdagangan antara sebelum dan setelah pengenaan bea masuk anti-dumping (BMAD) menggunakan data sekunder dari Badan Pusat Statistik (BPS) maupun Global Trade Information Services (GTIS). Hasil analisis menunjukkan adanya indikasi kuat bahwa circumvention mengkibatkan pengenaan tindakan anti-dumping impor produk baja di Indonesia menjadi tidak efektif. Oleh karena itu, sangat penting bagi Pemerintah Indonesia untuk segera melakukan penyempurnaan terhadap Peraturan Pemerintah No. 34/2011 tentang Tindakan Antidumping, Tindakan Imbalan, dan Tindakan Pengamanan Perdagangan dengan memasukkan klausul tindakan anti-circumvention yang setidaknya mencakup bentuk-bentuk dan prosedur tindakan, sebagaimana yang telah dilakukan beberapa negara seperti: AS, EU, Australia, dan India. Although Indonesia has imposed anti-dumping measures on several types of steel products, the import of steel products is still increasing. One possible cause is that imports are made by non-substantial modification of product or through a third country which is not subject to anti-dumping measures, which is generally referred as circumvention practice. This study is aimed to prove that circumvention made Indonesian anti-dumping actions on the steel products ineffective. This also study provides recommendation for a best practice for other countries so that Indonesia's anti-dumping policy can be more effective. Circumvention was analyzed by comparing trade patterns between before and after the imposition of anti-dumping duty using secondary data from the Central Bureau of Statistics (BPS) and the Global Trade Information Services (GTIS). The results of the analysis indicate that circumvention became the reason why Indonesian anti-dumping measures on imported steel products are ineffective. Therefore, it is very important for the Government of Indonesia to immediately make amendments to the Government Regulation No. 34/2011 on Antidumping, Countervailing, and Safeguard Measures by adopting clauses of anti-circumvention. This can be done bycovering the forms/types and procedures of action, as has been implemented by several countries such as the US, EU, Australia, and India.

scholarly journals Public Interest, Health Research and Data Protection Law: Establishing a Legitimate Trade-Off between Individual Control and Research Access to Health Data

Laws ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 6 ◽  
Author(s):  
Mark J. Taylor ◽  
Tess Whitton
Keyword(s):  
Public Interest ◽  
Data Protection ◽  
Health Research ◽  
Health Data ◽  
Personal Health ◽  
Positive Contribution ◽  
Data Governance ◽  
The Public ◽  
Individual Control ◽  
Data Protection Law

The United Kingdom’s Data Protection Act 2018 introduces a new public interest test applicable to the research processing of personal health data. The need for interpretation and application of this new safeguard creates a further opportunity to craft a health data governance landscape deserving of public trust and confidence. At the minimum, to constitute a positive contribution, the new test must be capable of distinguishing between instances of health research that are in the public interest, from those that are not, in a meaningful, predictable and reproducible manner. In this article, we derive from the literature on theories of public interest a concept of public interest capable of supporting such a test. Its application can defend the position under data protection law that allows a legal route through to processing personal health data for research purposes that does not require individual consent. However, its adoption would also entail that the public interest test in the 2018 Act could only be met if all practicable steps are taken to maximise preservation of individual control over the use of personal health data for research purposes. This would require that consent is sought where practicable and objection respected in almost all circumstances. Importantly, we suggest that an advantage of relying upon this concept of the public interest, to ground the test introduced by the 2018 Act, is that it may work to promote the social legitimacy of data protection legislation and the research processing that it authorises without individual consent (and occasionally in the face of explicit objection).

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