Presentation given by Conor Brophy at the 'Sharing Health-y Data Workshop: Challenges and Solutions' event co-hosted by ANDS and HISA. Held on Wednesday 16th March 2016 at the Translational Research Institute, Brisbane, Australia.
ANDS health and medical data webinar 23 May 2017. Ethics, Legal issues and Da...ARDC
Presentation from Dr Conor Brophy, MBBS, MD, MBioethics, FRCP, AFRACMA, Chair of Mater Misericordiae Ltd Human Research Ethics Committee, Adjunct Professor, QUT Chairperson UHREC.
Dr Brophy addressed planning for data sharing in research ethics applications.
Webinar: https://youtu.be/MIaSA-4z2PI
Full Webinar: https://youtu.be/FSlA1noJ1VU
Presentation by Dr Adrian Burton, ARDC, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
Presentation by Dr Merran Smith, PHRN, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
International perspective for sharing publicly funded medical research dataARDC
Presentation by Olivier Salvado, CSIRO, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
Presentation by Prof Lisa Askie, ANZCTR, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
The document discusses the importance of clinical research networks for healthcare. It notes that the Higgins Report emphasizes the importance of academic linkages and research for improved patient care. Clinical research networks are important for developing new therapies, diagnostic tests, clinical pathways, and determining healthcare outcomes. Participation in clinical research is associated with higher quality care and better outcomes. The document outlines the activities of the HRB-Clinical Research Facility Galway, including its staffing levels and research studies conducted. Challenges include engaging clinicians in research and ensuring sustainable funding, while opportunities include integrating clinical and academic research and using data to inform service development.
This document outlines government initiatives in India to transform medical education through the use of information and communication technologies. It describes the creation of a National Medical College Network that would connect major academic medical centers across India in order to share educational resources, provide tele-consultations, and improve healthcare delivery, especially in rural areas. The network's goals are to bridge knowledge and resource gaps, improve postgraduate medical education, and provide electronic access to medical libraries. It will utilize existing fiber optic networks and technologies like videoconferencing, digital libraries, and telemedicine applications.
The document discusses a biomarker evaluation and translation program funded by the National Institute for Health Research (NIHR) in the UK. The program aims to develop a rigorous approach to evaluating protein biomarkers and translating promising ones into routine clinical use in the NHS. It focuses on biomarkers for chronic liver disease, renal cell carcinoma, and renal transplant, with plans to study over 4,000 patients total. The program involves multi-disciplinary collaboration between health economists, statisticians, scientists, clinicians, and industry to conduct the research.
ANDS health and medical data webinar 23 May 2017. Ethics, Legal issues and Da...ARDC
Presentation from Dr Conor Brophy, MBBS, MD, MBioethics, FRCP, AFRACMA, Chair of Mater Misericordiae Ltd Human Research Ethics Committee, Adjunct Professor, QUT Chairperson UHREC.
Dr Brophy addressed planning for data sharing in research ethics applications.
Webinar: https://youtu.be/MIaSA-4z2PI
Full Webinar: https://youtu.be/FSlA1noJ1VU
Presentation by Dr Adrian Burton, ARDC, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
Presentation by Dr Merran Smith, PHRN, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
International perspective for sharing publicly funded medical research dataARDC
Presentation by Olivier Salvado, CSIRO, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
Presentation by Prof Lisa Askie, ANZCTR, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
The document discusses the importance of clinical research networks for healthcare. It notes that the Higgins Report emphasizes the importance of academic linkages and research for improved patient care. Clinical research networks are important for developing new therapies, diagnostic tests, clinical pathways, and determining healthcare outcomes. Participation in clinical research is associated with higher quality care and better outcomes. The document outlines the activities of the HRB-Clinical Research Facility Galway, including its staffing levels and research studies conducted. Challenges include engaging clinicians in research and ensuring sustainable funding, while opportunities include integrating clinical and academic research and using data to inform service development.
This document outlines government initiatives in India to transform medical education through the use of information and communication technologies. It describes the creation of a National Medical College Network that would connect major academic medical centers across India in order to share educational resources, provide tele-consultations, and improve healthcare delivery, especially in rural areas. The network's goals are to bridge knowledge and resource gaps, improve postgraduate medical education, and provide electronic access to medical libraries. It will utilize existing fiber optic networks and technologies like videoconferencing, digital libraries, and telemedicine applications.
The document discusses a biomarker evaluation and translation program funded by the National Institute for Health Research (NIHR) in the UK. The program aims to develop a rigorous approach to evaluating protein biomarkers and translating promising ones into routine clinical use in the NHS. It focuses on biomarkers for chronic liver disease, renal cell carcinoma, and renal transplant, with plans to study over 4,000 patients total. The program involves multi-disciplinary collaboration between health economists, statisticians, scientists, clinicians, and industry to conduct the research.
This document discusses different types of sampling methods used in research including probability sampling methods like simple random sampling, systematic sampling, and stratified random sampling. It also discusses non-probability sampling methods such as convenience sampling, snowball sampling, and quota sampling. The sample is a subset of the population that is studied when examining the entire population is not feasible. The sample frame and sampling error are also defined.
Brisbane Health-y data: Privacy and Legal FrameworkARDC
Presentation given by Peter Croll at the 'Sharing Health-y Data Workshop: Challenges and Solutions' event co-hosted by ANDS and HISA. Held on Wednesday 16th March 2016 at the Translational Research Institute, Brisbane, Australia.
Presentation in Canberra: Preparing for your data future seminar
Fri 22 July 2016
Panel session: Charting the Future
Ms Heather Jenks, Associate Director, Library Services, ANU
Brisbane Health-y Data: What are health and sensitive data and why are they t...ARDC
Presentation given by Sarah Olesen at the 'Sharing Health-y Data Workshop: Challenges and Solutions' event co-hosted by ANDS and HISA. Held on Wednesday 16th March 2016 at the Translational Research Institute, Brisbane, Australia.
Brisbane Health-y Data: The guide to publishing and sharing sensitive dataARDC
Presentation given by Kate LeMay at the 'Sharing Health-y Data Workshop: Challenges and Solutions' event co-hosted by ANDS and HISA. Held on Wednesday 16th March 2016 at the Translational Research Institute, Brisbane, Australia.
Webinar: API Extravaganza! Combining Google Analytics and ORCID APIARDC
Presented on 22 September 2016.
This is a technical presentation that provides an introduction to the Google's APIs for (Google Analytics, Drive, and Sheets) APIs and how they can be combined with ORCID API and other external sources. More Specifically, we talk about
- Accessing Google APIs with a service account
- Querying the Google Analytics Core Reporting API
- Creating/managing files with Google Drive and Sheets APIs
- Integrating data from externals sources using the ORCID public API
Presenter: Liz Krznarich from ORCID
Liz is a software developer and UI designer at ORCID, where she takes on projects ranging from server automation to user interface design, and development for content management systems. Liz has a range of experience in design, web development, technology training and academic libraries, and previously worked at the University of Wisconsin. Liz earned a BS in Graphic Design and a Master's in Library & Information Science from the University of Wisconsin.
1) A data licence sets out how data can be reused and attributed. It is recommended that all data intended for reuse have a licence, whether open or restrictive, to promote safe and proper reuse.
2) The Creative Commons suite of licences are commonly used with 6 options ranging from most open to most restrictive. The CC BY licence allows for reuse and redistribution with attribution.
3) Applying a clear licence to data promotes safe data sharing and prevents unintended misuse by clarifying how others can access and use the data.
This document summarizes an event hosted by the Australian National Data Service (ANDS) called "23 Things Tasmania gathering". It provides statistics on participation in the event's webinars, community groups, and digital badges. It also prompts attendees to discuss their favorite part of the "23 Things" program so far and any remaining questions before concluding with contact information for the event organizers.
Brisbane Health-y Data: Supplementary materials on consent formsARDC
Additional material from Sarah Olesen, presenter at the 'Sharing Health-y Data Workshop: Challenges and Solutions' event co-hosted by ANDS and HISA. Held on Wednesday 16th March 2016 at the Translational Research Institute, Brisbane, Australia.
Brisbane Health-y Data: Licensing health and sensitive dataARDC
This document discusses data licensing and choosing an appropriate license. It explains that a license sets out how data can be reused and attributed. The most open Creative Commons licenses allow some form of redistribution with more or less restrictions on modifications. When choosing a license, consider consent requirements, potential for harm, and whether the data has been modified to limit identification. More restrictive licenses can specify customized access and use conditions. The key takeaways are to take control over how your data is reused by applying a clear license, and ensuring proper attribution is given.
The Importance of Good Plumbing for Collaborative Research Data ARDC
The document discusses copyright and licensing issues related to research data. It provides an overview of relevant court cases that established whether copyright can subsist in factual compilations and databases. It recommends applying an open license like Creative Commons to publicly funded research data to enable broad reuse. It also addresses questions around copyright in data and considers the relationship between licensing and copyright to manage sharing rights.
Presentation given by Brian Stokes about the work of the Tasmanian Data Linkage Unit. Given during the 'Sharing Health-y data: Challenges and Solutions' workshop held at the Menzies Research Institute in Hobart, Tasmania, on 28th June 2016.
This document discusses ethical issues in data collection. It defines ethics and the major areas of ethical study, including meta-ethics, normative ethics, and applied ethics. The document outlines basic principles of ethical practice such as informed consent, avoiding harm, and maintaining privacy and confidentiality. Researchers should obtain informed consent, avoid deception, and not cause harm or offer excessive rewards. Overall, the document provides an overview of ethics in research and data collection and discusses principles researchers should follow to conduct ethical studies and experiments.
Can sharing research data raise your research profile and impact?ARDC
This document discusses the benefits of sharing research data, including increased impact, collaboration opportunities, funding, and citation metrics. It notes that while 85% of researchers are interested in using other researchers' data and 74% believe their data could be used across fields, only 36% report their data is easily accessible. Research shows a citation advantage for publications that make their data freely available, with a 30% increase in citations over time for papers from 2004-2005 that shared their data. Every 100 papers that shared data prompted 150 additional papers reusing the data within five years.
Tasmania: Licensing data for sharing and reuseARDC
This document discusses data licensing and provides guidance on applying licenses to research data. It covers what a license is, why they are important for enabling reuse and collaboration, and recommends using licenses from the AusGOAL framework. The document explains that without a license, others cannot legally reuse or share the data. It provides examples of licensing different types of data and notes special considerations for sensitive health data. Guidance is given on how to physically apply a license and ensure proper attribution.
This document discusses data licensing and how to choose an appropriate license for sharing data. It explains that a license sets the terms for how data can be reused and attributed. The most open license possible should be chosen to promote reuse and collaboration. When choosing a license, the data owner must have rights to license the data and consider factors like consent, potential for harm, and approval from an ethics board. A spectrum of license openness is shown, ranging from closed to conditional access to open. If a Creative Commons license is not suitable, a restrictive license can be customized. To apply a license clearly mark the data and any related records with the license information. Licensing data takes control over reuse and ensures proper attribution.
Data management planning in the Australian funding landscape by Sarah OlesenMarta Ribeiro
Data management planning in the Australian funding landscape by Sarah Olesen at eResearch Australasia Conference
1.Australian Code for the Responsible Conduct of Research (2007)
2. National Statement on Ethical Conductin Human Research (2007 – updated 2014)
ANDS health and medical data webinar 16 May. Storing and Publishing Health an...ARDC
Dr Jeff Christiansen (QCIF) introduced med.data.edu.au, a national facility to provide petabyte-scale research data storage, and related high-speed networked computational services, to Australian medical and health research organisations.
Webinar: https://www.youtube.com/watch?v=5jwBwDJrWAs
Jeff Christiansen Snippet: https://www.youtube.com/watch?v=PV_vuUKRm6w
Transcript: https://www.slideshare.net/AustralianNationalDataService/transcript-storing-and-publishing-health-and-medical-data-16052017
This document discusses different types of sampling methods used in research including probability sampling methods like simple random sampling, systematic sampling, and stratified random sampling. It also discusses non-probability sampling methods such as convenience sampling, snowball sampling, and quota sampling. The sample is a subset of the population that is studied when examining the entire population is not feasible. The sample frame and sampling error are also defined.
Brisbane Health-y data: Privacy and Legal FrameworkARDC
Presentation given by Peter Croll at the 'Sharing Health-y Data Workshop: Challenges and Solutions' event co-hosted by ANDS and HISA. Held on Wednesday 16th March 2016 at the Translational Research Institute, Brisbane, Australia.
Presentation in Canberra: Preparing for your data future seminar
Fri 22 July 2016
Panel session: Charting the Future
Ms Heather Jenks, Associate Director, Library Services, ANU
Brisbane Health-y Data: What are health and sensitive data and why are they t...ARDC
Presentation given by Sarah Olesen at the 'Sharing Health-y Data Workshop: Challenges and Solutions' event co-hosted by ANDS and HISA. Held on Wednesday 16th March 2016 at the Translational Research Institute, Brisbane, Australia.
Brisbane Health-y Data: The guide to publishing and sharing sensitive dataARDC
Presentation given by Kate LeMay at the 'Sharing Health-y Data Workshop: Challenges and Solutions' event co-hosted by ANDS and HISA. Held on Wednesday 16th March 2016 at the Translational Research Institute, Brisbane, Australia.
Webinar: API Extravaganza! Combining Google Analytics and ORCID APIARDC
Presented on 22 September 2016.
This is a technical presentation that provides an introduction to the Google's APIs for (Google Analytics, Drive, and Sheets) APIs and how they can be combined with ORCID API and other external sources. More Specifically, we talk about
- Accessing Google APIs with a service account
- Querying the Google Analytics Core Reporting API
- Creating/managing files with Google Drive and Sheets APIs
- Integrating data from externals sources using the ORCID public API
Presenter: Liz Krznarich from ORCID
Liz is a software developer and UI designer at ORCID, where she takes on projects ranging from server automation to user interface design, and development for content management systems. Liz has a range of experience in design, web development, technology training and academic libraries, and previously worked at the University of Wisconsin. Liz earned a BS in Graphic Design and a Master's in Library & Information Science from the University of Wisconsin.
1) A data licence sets out how data can be reused and attributed. It is recommended that all data intended for reuse have a licence, whether open or restrictive, to promote safe and proper reuse.
2) The Creative Commons suite of licences are commonly used with 6 options ranging from most open to most restrictive. The CC BY licence allows for reuse and redistribution with attribution.
3) Applying a clear licence to data promotes safe data sharing and prevents unintended misuse by clarifying how others can access and use the data.
This document summarizes an event hosted by the Australian National Data Service (ANDS) called "23 Things Tasmania gathering". It provides statistics on participation in the event's webinars, community groups, and digital badges. It also prompts attendees to discuss their favorite part of the "23 Things" program so far and any remaining questions before concluding with contact information for the event organizers.
Brisbane Health-y Data: Supplementary materials on consent formsARDC
Additional material from Sarah Olesen, presenter at the 'Sharing Health-y Data Workshop: Challenges and Solutions' event co-hosted by ANDS and HISA. Held on Wednesday 16th March 2016 at the Translational Research Institute, Brisbane, Australia.
Brisbane Health-y Data: Licensing health and sensitive dataARDC
This document discusses data licensing and choosing an appropriate license. It explains that a license sets out how data can be reused and attributed. The most open Creative Commons licenses allow some form of redistribution with more or less restrictions on modifications. When choosing a license, consider consent requirements, potential for harm, and whether the data has been modified to limit identification. More restrictive licenses can specify customized access and use conditions. The key takeaways are to take control over how your data is reused by applying a clear license, and ensuring proper attribution is given.
The Importance of Good Plumbing for Collaborative Research Data ARDC
The document discusses copyright and licensing issues related to research data. It provides an overview of relevant court cases that established whether copyright can subsist in factual compilations and databases. It recommends applying an open license like Creative Commons to publicly funded research data to enable broad reuse. It also addresses questions around copyright in data and considers the relationship between licensing and copyright to manage sharing rights.
Presentation given by Brian Stokes about the work of the Tasmanian Data Linkage Unit. Given during the 'Sharing Health-y data: Challenges and Solutions' workshop held at the Menzies Research Institute in Hobart, Tasmania, on 28th June 2016.
This document discusses ethical issues in data collection. It defines ethics and the major areas of ethical study, including meta-ethics, normative ethics, and applied ethics. The document outlines basic principles of ethical practice such as informed consent, avoiding harm, and maintaining privacy and confidentiality. Researchers should obtain informed consent, avoid deception, and not cause harm or offer excessive rewards. Overall, the document provides an overview of ethics in research and data collection and discusses principles researchers should follow to conduct ethical studies and experiments.
Can sharing research data raise your research profile and impact?ARDC
This document discusses the benefits of sharing research data, including increased impact, collaboration opportunities, funding, and citation metrics. It notes that while 85% of researchers are interested in using other researchers' data and 74% believe their data could be used across fields, only 36% report their data is easily accessible. Research shows a citation advantage for publications that make their data freely available, with a 30% increase in citations over time for papers from 2004-2005 that shared their data. Every 100 papers that shared data prompted 150 additional papers reusing the data within five years.
Tasmania: Licensing data for sharing and reuseARDC
This document discusses data licensing and provides guidance on applying licenses to research data. It covers what a license is, why they are important for enabling reuse and collaboration, and recommends using licenses from the AusGOAL framework. The document explains that without a license, others cannot legally reuse or share the data. It provides examples of licensing different types of data and notes special considerations for sensitive health data. Guidance is given on how to physically apply a license and ensure proper attribution.
This document discusses data licensing and how to choose an appropriate license for sharing data. It explains that a license sets the terms for how data can be reused and attributed. The most open license possible should be chosen to promote reuse and collaboration. When choosing a license, the data owner must have rights to license the data and consider factors like consent, potential for harm, and approval from an ethics board. A spectrum of license openness is shown, ranging from closed to conditional access to open. If a Creative Commons license is not suitable, a restrictive license can be customized. To apply a license clearly mark the data and any related records with the license information. Licensing data takes control over reuse and ensures proper attribution.
Data management planning in the Australian funding landscape by Sarah OlesenMarta Ribeiro
Data management planning in the Australian funding landscape by Sarah Olesen at eResearch Australasia Conference
1.Australian Code for the Responsible Conduct of Research (2007)
2. National Statement on Ethical Conductin Human Research (2007 – updated 2014)
ANDS health and medical data webinar 16 May. Storing and Publishing Health an...ARDC
Dr Jeff Christiansen (QCIF) introduced med.data.edu.au, a national facility to provide petabyte-scale research data storage, and related high-speed networked computational services, to Australian medical and health research organisations.
Webinar: https://www.youtube.com/watch?v=5jwBwDJrWAs
Jeff Christiansen Snippet: https://www.youtube.com/watch?v=PV_vuUKRm6w
Transcript: https://www.slideshare.net/AustralianNationalDataService/transcript-storing-and-publishing-health-and-medical-data-16052017
Australian Research Council (ARC) & National Health and Medical Research Council (NHMRC) overview
Open Data - Whole of Government Approach
ARC and NHMRC Data Management Requirements
Australian Code for the Responsible Conduct of Research
The document discusses several open data and data sharing policies from government agencies and academic institutions. It summarizes the NIH public access policy, which requires researchers receiving NIH funding to submit final peer-reviewed manuscripts to PubMed Central. It also discusses the NIH and NSF data sharing policies, which require investigators to share data. The document outlines the objectives of the OSTP memorandum to increase public access to federally funded research results. Key points include developing data management plans and allowing costs for data preservation and access in funding proposals. Reasons for data sharing include validating results and enabling new research. Examples of shared epidemiological and clinical trial data are provided.
Lynne E. Becker seeks a position in corporate project research based on her extensive experience managing clinical research projects and studies. She has over 20 years of experience developing research protocols, recruiting study sites and participants, ensuring regulatory compliance, and using information technology to efficiently achieve research goals. Becker has managed both small and large studies of up to $250,000 and $5 million respectively. She is skilled in all aspects of clinical research including protocol development, site selection and training, patient recruitment, database design, and regulatory reporting.
Justin Withers from the Australian Research Council presented at University of Technology Sydney's RIA Data Management Workshop on 21 June 2018. In partnership with the Australian Research Council, the National Health and Medical Research Council, the Australian Research Data Commons, and RMIT University, this is part of a national workshop series in data management for research integrity advisors.
Lessons from the UK: Data access, patient trust & real-world impact with heal...Varsha Khodiyar
HDR UK is facilitating health data access in the UK for researchers through The Innovation Gateway. This allows researchers to discover and access de-identified health data from various custodians. HDR UK has emphasized transparency and patient/public involvement. During the COVID-19 pandemic, HDR UK coordinated data-driven research efforts and accelerated data access to support priority studies. This included enabling a clinical trial to more rapidly recruit participants using daily COVID test results. HDR UK is also laying the foundations for an international health data alliance to support open COVID-19 research globally.
How to Comply with Grants: Writing Data Management Plans and Providing Public...Margaret Henderson
This document provides an overview of federal data management plan and public access requirements. It discusses what constitutes research data and outlines what must be included in a data management plan. It then reviews policies from agencies such as NIH, NSF, DOD and others regarding submitting publications to public repositories and making data publicly available. The policies generally require making peer-reviewed publications open access within 12 months of publication and providing a plan for sharing and preserving research data. Noncompliance may result in withholding of funds.
Research Data Management Services at UWA (November 2015)Katina Toufexis
Research Data Management Services at the University of Western Australia (November 2015).
Created by Katina Toufexis of the eResearch Support Unit (University Library).
CC-BY
A systematic review of the challenges to implementation of the patient-centre...Paul Grundy
This document summarizes a systematic review that identified key challenges and barriers to implementing the patient-centered medical home (PCMH) model based on 28 studies from the United States. The review found six main challenges: 1) difficulties transforming practice operations and managing change, 2) implementing functional electronic health records, 3) inadequate funding and payment models, 4) insufficient practice resources and infrastructure, 5) variations in PCMH standards and accreditation, and 6) limitations in performance measures. The review concludes that understanding these challenges is important for Australian health reforms considering adopting PCMH elements.
Lynne E. Becker is seeking a senior level position in corporate project research. She has over 10 years of experience managing multi-site clinical research projects, including experience in protocol development, site selection and training, patient recruitment and retention, and ensuring regulatory compliance. She is skilled in data analysis, database management, and using technology like telemedicine to efficiently achieve project goals. Her background includes managing both domestic and international clinical trials with budgets in the millions of dollars.
Lynne E. Becker is seeking a senior level position in corporate project research. She has over 10 years of experience managing multi-site clinical research projects, including experience in protocol development, site selection and training, patient recruitment, and ensuring regulatory compliance. She is skilled in data analysis, database management, and using technology like telemedicine to efficiently achieve project goals.
This document discusses ethics and integrity in data use and management. It begins by defining integrity and ethics. It then discusses key ethical principles like beneficence, respect for persons, and justice. It reviews guidelines and regulations around research ethics. It emphasizes the importance of data integrity and discusses challenges to integrity like human error and fabrication. It also discusses applications of ethics to areas like data collection, analysis, sharing and security. The overall message is that all individuals involved in research have a responsibility to uphold data integrity and ensure ethical data practices.
Nicodemus Maingi is the director of the HP-Strathmore Research Laboratory at Strathmore University in Nairobi, Kenya. He has over 10 years of experience leading projects in healthcare IT, including developing systems to support disease surveillance, supply chain management, and monitoring of health programs. Some of the major systems developed under his leadership include an electronic laboratory information management system, tools for early infant HIV diagnosis and treatment, and health commodity logistics platforms. He also has over 15 years of experience in academia as a lecturer, administrator, and research supervisor at Strathmore University.
NHMRC & ARC Perspective on Data Management and Future DirectionsARDC
Justin Withers, Director, Policy and Integrity, Australian Research Council, presented at the Research Integrity Advisors Research Data Management Workshop in Hobart, 2017.
Changes in National Ethics Policy for Managing and Sharing Human Research DataARDC
The document discusses data management and sharing in research. It summarizes key points from the National Statement on Ethical Conduct in Human Research regarding obtaining appropriate consent for data reuse, and developing data management plans. While open sharing of data is ideal, mediated access through committees or archives is also possible. Consent forms should specify how data will be governed and accessed now and in the future to facilitate ethical data sharing and reuse.
Clinical Data Management (CDM) is a critical component of clinical research that involves the collection, cleaning, validation, and management of clinical trial data to ensure its accuracy, integrity, and compliance with regulatory requirements. The workflow of CDM typically consists of several key stages, each with specific activities and processes. Here is an overview of the typical workflow of CDM:
Study Startup:
Protocol Review: CDM teams begin by reviewing the clinical trial protocol to understand the study's objectives, endpoints, data collection requirements, and timelines.
Database Design: Based on the protocol, the team designs a data capture system or electronic data capture (EDC) system. This includes creating data entry forms, defining data validation checks, and setting up data dictionaries.
Data Collection:
Case Report Form (CRF) Design: CDM professionals design electronic or paper CRFs to collect data during the trial. CRFs capture specific data points required by the protocol.
Data Entry: Data is entered into the CRFs, either electronically by site personnel or through paper CRFs.
Data Validation: CDM teams implement validation checks to ensure data quality and consistency. Data validation checks may include range checks, consistency checks, and logic checks.
Query Management: Queries are generated when data discrepancies or inconsistencies are identified. CDM teams send queries to investigational sites for resolution.
Data Cleaning and Quality Control:
Data Cleaning: Data are cleaned to resolve discrepancies, discrepancies, and inconsistencies. This involves querying data discrepancies with clinical trial sites.
Data Review: CDM teams review data to ensure completeness and accuracy, and any outstanding queries are resolved.
Quality Control: Quality control processes are applied to verify the integrity and accuracy of data.
Database Lock:
Once the data are cleaned, reviewed, and validated, the database is locked, indicating that no further changes can be made to the data. Database lock is a critical step before data analysis begins.
Data Export and Analysis:
Data is exported from the database and provided to biostatisticians and researchers for statistical analysis. This analysis is conducted to determine the study's outcomes, efficacy, and safety profile.
Data listings, summaries, and tables are generated for regulatory submissions, reports, and publications.
Final Study Reporting:
After data analysis, CDM teams contribute to the preparation of final study reports, which provide a comprehensive overview of the trial's results, data quality, and regulatory compliance.
Archiving and Documentation:
Clinical trial data, documentation, and databases are archived to ensure their long-term availability for regulatory audits and future reference.
Regulatory Submission: CDM teams provide support for regulatory submissions.
Similar to Brisbane Healthy-y Data: Ethical Considerations (20)
Presentation by Dr Steve McEachern, ADA, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
Presentation by Hugo Leroux and Liming Zhu, CSIRO, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
The document summarizes plans by the Australian Government to establish new legislation and institutions to streamline access to and use of public sector data. Key points include:
- A new Commonwealth Data Sharing and Release Act will be introduced in 2019 to provide consistent rules for sharing data and establish a National Data Commissioner to oversee the system.
- The National Data Commissioner will ensure transparency, accountability, security, and appropriate risk management in data sharing.
- New rules will focus on enabling data to be shared for purposes like research and policy-making, while protecting privacy and building public trust in data use.
- The government will continue consulting stakeholders on the legislation to address concerns and help the public understand the reforms.
Presentation by Prof Chris Rowe, ADNet, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
Investigator-initiated clinical trials: a community perspectiveARDC
Presentation by Miranda Cumpston, ACTA, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
Presentation by Dr Davina Ghersi, NHMRC, to the 'Unlocking value from publicly funded Clinical Research Data' workshop, cohosted by ARDC and CSIRO at ANU on 6 March 2019.
FAIR for the future: embracing all things dataARDC
FAIR for the future: embracing all things data - Natasha Simons, Keith Russell and Liz Stokes, presented at Taylor & Francis Scholarly Summits in Sydney 11 Feb 2019 and Melbourne 14 Feb 2019.
How to make your data count webinar, 26 Nov 2018ARDC
This document outlines the Make Data Count (MDC) initiative to standardize and promote the tracking of research data usage metrics. MDC has developed a Code of Practice for data usage logs, built an open hub to aggregate standardized usage data, and implemented tracking and display of usage metrics at their own repositories. They encourage other repositories to follow five simple steps to Make Their Data Count: 1) Read the Code of Practice, 2) Process usage logs, 3) Send logs to the hub, 4) Pull usage metrics from the hub, and 5) Display metrics. Future work includes outreach, iteration on implementations, and expanding metrics beyond DOIs.
The document summarizes a BoF (Birds of a Feather) session on connecting data management plans (DMPs) to power up research. The agenda included lightning talks on various DMP tools that connect DMPs to other systems and the benefits of those connections. Speakers discussed DMPs at different universities and tools like a comparative table, machine-readable DMPs, RedBox, and DASH-R for connecting DMPs. The session concluded with questions and discussion on building the DMP community.
Travel vaccination in Manchester offers comprehensive immunization services for individuals planning international trips. Expert healthcare providers administer vaccines tailored to your destination, ensuring you stay protected against various diseases. Conveniently located clinics and flexible appointment options make it easy to get the necessary shots before your journey. Stay healthy and travel with confidence by getting vaccinated in Manchester. Visit us: www.nxhealthcare.co.uk
5-hydroxytryptamine or 5-HT or Serotonin is a neurotransmitter that serves a range of roles in the human body. It is sometimes referred to as the happy chemical since it promotes overall well-being and happiness.
It is mostly found in the brain, intestines, and blood platelets.
5-HT is utilised to transport messages between nerve cells, is known to be involved in smooth muscle contraction, and adds to overall well-being and pleasure, among other benefits. 5-HT regulates the body's sleep-wake cycles and internal clock by acting as a precursor to melatonin.
It is hypothesised to regulate hunger, emotions, motor, cognitive, and autonomic processes.
These lecture slides, by Dr Sidra Arshad, offer a simplified look into the mechanisms involved in the regulation of respiration:
Learning objectives:
1. Describe the organisation of respiratory center
2. Describe the nervous control of inspiration and respiratory rhythm
3. Describe the functions of the dorsal and respiratory groups of neurons
4. Describe the influences of the Pneumotaxic and Apneustic centers
5. Explain the role of Hering-Breur inflation reflex in regulation of inspiration
6. Explain the role of central chemoreceptors in regulation of respiration
7. Explain the role of peripheral chemoreceptors in regulation of respiration
8. Explain the regulation of respiration during exercise
9. Integrate the respiratory regulatory mechanisms
10. Describe the Cheyne-Stokes breathing
Study Resources:
1. Chapter 42, Guyton and Hall Textbook of Medical Physiology, 14th edition
2. Chapter 36, Ganong’s Review of Medical Physiology, 26th edition
3. Chapter 13, Human Physiology by Lauralee Sherwood, 9th edition
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There is increasing confidence that cell therapies will soon play a role in the treatment of autoimmune disorders, but the extent of this impact remains to be seen. Early readouts on autologous CAR-Ts in lupus are encouraging, but manufacturing and cost limitations are likely to restrict access to highly refractory patients. Allogeneic CAR-Ts have the potential to broaden access to earlier lines of treatment due to their inherent cost benefits, however they will need to demonstrate comparable or improved efficacy to established modalities.
In addition to infrastructure and capacity constraints, CAR-Ts face a very different risk-benefit dynamic in autoimmune compared to oncology, highlighting the need for tolerable therapies with low adverse event risk. CAR-NK and Treg-based therapies are also being developed in certain autoimmune disorders and may demonstrate favorable safety profiles. Several novel non-cell therapies such as bispecific antibodies, nanobodies, and RNAi drugs, may also offer future alternative competitive solutions with variable value propositions.
Widespread adoption of cell therapies will not only require strong efficacy and safety data, but also adapted pricing and access strategies. At oncology-based price points, CAR-Ts are unlikely to achieve broad market access in autoimmune disorders, with eligible patient populations that are potentially orders of magnitude greater than the number of currently addressable cancer patients. Developers have made strides towards reducing cell therapy COGS while improving manufacturing efficiency, but payors will inevitably restrict access until more sustainable pricing is achieved.
Despite these headwinds, industry leaders and investors remain confident that cell therapies are poised to address significant unmet need in patients suffering from autoimmune disorders. However, the extent of this impact on the treatment landscape remains to be seen, as the industry rapidly approaches an inflection point.
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1. Conor Brophy
Chairperson, Human Research Ethics Committee, RBWH, Metro North HHS
Chairperson, Human Research Ethics Committee, Mater Health Service
Senior Lecturer, School of Medicine, UQ
2. }NHMRC National Statement on Ethical Conduct in
Human Research (2007)
https://www.nhmrc.gov.au/_files_nhmrc/publications/attachments/e7
2_national_statement_may_2015_150514_a.pdf
}NHMRC Australian Code for the Responsible
Conduct of Research (2007)
https://www.nhmrc.gov.au/_files_nhmrc/publications/attachments/r3
9_australian_code_responsible_conduct_research_150107.pdf
}NHMRC Statement on Data Sharing (2015)
https://www.nhmrc.gov.au/grants-funding/policy/nhmrc-statement-
data-sharing
3. }Principles for Accessing and Using Publicly Funded
Data for Health Research
https://www.nhmrc.gov.au/principles-accessing-and-using-publicly-
funded-data-health-research
}Global Alliance for Genomics and Health - REWG
https://genomicsandhealth.org/node/12703
}International Cancer Genome Consortium
https://icgc.org/icgc/goals-structure-policies-guidelines
}Wellcome Trust http://www.wellcome.ac.uk/About-
us/Policy/Spotlight-issues/Data-sharing/Public-health-and-
epidemiology/WTDV030690.htm
4. As with all research, the primary principle guiding
sharing of research data is utilitarian:
} to maximise public good
} to make best use of research effort and funding.
The primary principle can only be realised in concert
with other principles of justice, beneficence and respect
} sharing is dependent on maintaining privacy and confidentiality of
data and
} with the informed consent of the individual
5. } Data and research outputs (metadata, analysis code, study
protocols, study materials and other collected data) from
NHMRC-supported research should be publicly accessible.
} Aligns with researchers’ and institutions’ responsibilities under
other NHMRC guidance: the National Statement and the Code.
} Consumers told:
‘Publicly funded data holdings …collected subject to privacy and confidentiality
conditions, …use of these data for research will maintain these requirements and
not significantly increase the risk to privacy and confidentiality and
Researchers receiving access to publicly funded data are subject to strict ethics
approval processes. …that the research project is worthwhile and will add to
important knowledge about the health of Australians…’
https://www.nhmrc.gov.au/_files_nhmrc/file/research/data_accessconsumer_gu
ide_accessible.pdf
6. } Trust in ‘research’ and the process promised can be maintained.
} Any research study for which data will be supplied is of sufficient
quality – research merit* (NS 1.1a,b,c)
} A new project has consistent closely related aims… and/or
} Consistent with respect* for autonomy:
◦ Consent – nature and quality in the original study is sufficient for the further
aims (*NS 2.2.14-18; 3.2.3) …or
◦ Return to participants to notify or seek consent (*NS 2.2.8)
*https://www.nhmrc.gov.au/_files_nhmrc/publications/attachments/e72_national_st
atement_may_2015_150514_a.pdf
7. Justice, beneficence and respect*
} Robust controls, governance, agreements regarding access,
release, and use of data; i.e. confidentiality and privacy
undertakings are fulfilled. (*NS 1.12; 3.2.12)
} Any implications from the research for participants and
others are acted upon, including return of study findings,
potential harms and benefits. (*NS 1.4d,f; 1.5; 3.2.6)
*https://www.nhmrc.gov.au/_files_nhmrc/publications/attachments/e72_natio
nal_statement_may_2015_150514_a.pdf
8. } That participant’s interests are served
} The perspective of a participant is represented
} Stakeholders indicate that they understand and will
follow best practice guidelines
} Research is facilitated and achieves its ends