Presentation by Dr Jeff Christiansen, Intersect. Presented at the ANDS/Intersect sharing health-y data: challenges and solutions II workshop on 26th October 2016
Presentation by Kate LeMay, ANDS Senior Research Data Specialist. Presented at the ANDS/Intersect sharing health-y data: challenges and solutions II workshop on 26th October 2016
The data sharing landscape and planning to publishARDC
Presentation by Kate LeMay, ANDS Senior Research Data Specialist. Presented at the ANDS/Intersect sharing health-y data: challenges and solutions II workshop on 26th October 2016
Data management and sharing principles for health and medical data: CDUARDC
Presentation by Kate LeMay to researchers at Charles Darwin University on the topic "Data management and sharing principles for health and medical data" on 12 June 1028
This document discusses navigating privacy and security considerations for medical researchers dealing with health data. It summarizes that the national medical data facility stores petabyte-scale research data across four nodes from various health organizations. It manages data using several platforms and protects human-derived data at a higher level. Researchers must consider relevant privacy legislation, ethics approval, informed consent requirements, and identifiability of data. Controls are needed to protect health information in research, including following national standards and guidelines regarding legislative frameworks, best practices, IT security, and roles and responsibilities of data custodians and users. An online use guide and wizard is proposed to simply navigate researchers through these complex issues.
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 Dr Jeff Christiansen, Intersect. Presented at the ANDS/Intersect sharing health-y data: challenges and solutions II workshop on 26th October 2016
Presentation by Kate LeMay, ANDS Senior Research Data Specialist. Presented at the ANDS/Intersect sharing health-y data: challenges and solutions II workshop on 26th October 2016
The data sharing landscape and planning to publishARDC
Presentation by Kate LeMay, ANDS Senior Research Data Specialist. Presented at the ANDS/Intersect sharing health-y data: challenges and solutions II workshop on 26th October 2016
Data management and sharing principles for health and medical data: CDUARDC
Presentation by Kate LeMay to researchers at Charles Darwin University on the topic "Data management and sharing principles for health and medical data" on 12 June 1028
This document discusses navigating privacy and security considerations for medical researchers dealing with health data. It summarizes that the national medical data facility stores petabyte-scale research data across four nodes from various health organizations. It manages data using several platforms and protects human-derived data at a higher level. Researchers must consider relevant privacy legislation, ethics approval, informed consent requirements, and identifiability of data. Controls are needed to protect health information in research, including following national standards and guidelines regarding legislative frameworks, best practices, IT security, and roles and responsibilities of data custodians and users. An online use guide and wizard is proposed to simply navigate researchers through these complex issues.
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.
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 discusses managing sensitive data in repositories. It notes that repositories can support fully open, mediated access, or closed/private data, and most contain a combination of open and mediated access data. Sensitive health data can be managed in repositories by de-identifying data where possible, restricting access otherwise, and ensuring proper licensing, metadata, and identifiers are included to aid discovery and reuse while maintaining privacy. The biggest challenge is having longitudinal individual data needed for research while maintaining privacy through de-identification, as some data may need to be omitted from datasets as a result.
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.
Strand 1: Connecting research and researchers: An introduction to ORCID by Ed...OAbooks
ORCID is an open, non-profit organization that provides a registry of unique researcher identifiers and aims to link researchers to their professional activities such as publications, datasets, and more. The presentation discusses the problems ORCID aims to address like linking researchers across databases and improving discoverability. It outlines ORCID's mission, benefits to the research community, how the ORCID registry works, privacy considerations, integration opportunities, growth since launch, international usage, members, support available, and how to join ORCID.
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.
Building a collaborative RDM community, research data networkJisc RDM
This document summarizes Dr. Marta Teperek's presentation on building a collaborative research data management (RDM) community. The presentation covered how not to start RDM services by mandating data sharing, and instead focusing on the benefits of sharing. It discussed Cambridge University's democratic approach to developing RDM services by empowering researchers, and the positive feedback received. Collaboration, open communication, and shaping services and policies with researchers were emphasized as key to success.
This document discusses standards for data exchange in healthcare. It begins by defining what standards are and explaining that there are different types of standards including formal, de jure, and de facto. It then discusses why standards are needed in healthcare, particularly to enable interoperability between different healthcare systems. Examples of common healthcare standards are provided, including those for vocabulary and terminology, transporting messages, and content. The document concludes by noting that while standards describe what data to exchange, implementation guides describe how to execute specific use cases.
Standardising research data policies, research data networkJisc RDM
The document discusses standardizing research data policies across journals. It describes an expert group working to develop templates and guidance for data policies. It also discusses a collaboration to implement the Joint Declaration of Data Citation Principles. The group is working with Springer Nature to help standardize their data policies across journals into four main types. The goal is to improve data sharing, citation and reuse.
Introduction to the Research Integrity Advisor Data Management Workshop, Bris...ARDC
Dr Jacobs' introduction to the RIA Data Management Workshop in Brisbane on 31 March 2017. The RIA Data Management Workshop series is a joint collaboration of the Australian Research Council, the National Health and Medical Research Council, the Australasian Research Management Society and the Australian National Data Service.
This document discusses data publishing and management. It introduces the advantages of publishing research data, including increasing citations, recognition and meeting grant requirements. It outlines best practices for data management planning and provides examples of data publishing platforms like SHaRED. The document advises that major journals and funding bodies now require data publication in open repositories to promote open access and data sharing in science.
Presentation given at the European Research Council workshop on research data management and sharing in Brussels on 18th-19th September 2014. The presentation covers the benefits and drivers for RDM, points to relevant tools and resources and closes with some open questions for discussion.
1) ORCID is a non-profit organization that launched in 2010 to create a central registry of researcher identities and link them to contributions such as publications, datasets, and patents.
2) ORCID aims to support reliable attribution of authors and enable discovery and evaluation of researchers' scholarly works by transcending boundaries and making profile data freely available in standard and open formats.
3) ORCID will be sustained through a combination of free and fee-based services, with fees set to ensure its long-term viability as a not-for-profit focused on persistent identification.
A presentation offering an introduction to managing and sharing research data given at the Czech Open Science days as part of the EC-funded FOSTER project.
Stop press: should embargo conditions apply to metadata?Jisc RDM
Sarah Middle of Cambridge University discusses whether embargo conditions should apply to metadata. Session held at the Research Data Network event in May 2016, Cardiff University.
Research Data Management in practice, RIA Data Management Workshop Brisbane 2017ARDC
The Australian National Data Service (ANDS) aims to make Australian research data more valuable by partnering with research organizations and funding data projects. In 2015, ANDS conducted over 100 workshops and events with over 4,000 participants and developed online resources. ANDS provides guides on topics like data management and the FAIR data principles. ANDS also advocates for practices like data citation and publishing to ensure research data is preserved and reusable over time. The presentation outlines ANDS' role in supporting good research data management practices and sharing to ensure the integrity and impact of research evidence.
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.
This presentation was provided by Dr. Paul Burton of the University of Bristol during the NISO Symposium, Privacy Implications of Research Data, held on September 11, 2016, in conjunction with the International Data Week in Denver, Colorado.
Presentation given to EC project officers as part of workshops run by the FOSTER (foster open science) project. The presentation covers the Horizon 2020 open data pilot.
Presentation given by Kate LeMay at the 'Sharing Health-y Data: Challenges and Solutions' workshop, held at The Menzies Research Institute (Hobart, Tasmania) on 28th June 2016. The event was co-hosted by ANDS and the University of Tasmania library
This document discusses licensing research data for reuse. It begins by providing a scenario where a user has downloaded a dataset but is unsure what they can do with the data due to licensing. It then discusses that licensing is critical to enabling data reuse and citation. It provides information on AusGOAL, the Australian open access and licensing framework, and notes it is recommended for data publishing by ANDS partners. It also includes links to licensing guides and FAQs. In summary, the document emphasizes the importance of data licensing for enabling reuse and outlines Australia's recommended licensing system.
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 discusses managing sensitive data in repositories. It notes that repositories can support fully open, mediated access, or closed/private data, and most contain a combination of open and mediated access data. Sensitive health data can be managed in repositories by de-identifying data where possible, restricting access otherwise, and ensuring proper licensing, metadata, and identifiers are included to aid discovery and reuse while maintaining privacy. The biggest challenge is having longitudinal individual data needed for research while maintaining privacy through de-identification, as some data may need to be omitted from datasets as a result.
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.
Strand 1: Connecting research and researchers: An introduction to ORCID by Ed...OAbooks
ORCID is an open, non-profit organization that provides a registry of unique researcher identifiers and aims to link researchers to their professional activities such as publications, datasets, and more. The presentation discusses the problems ORCID aims to address like linking researchers across databases and improving discoverability. It outlines ORCID's mission, benefits to the research community, how the ORCID registry works, privacy considerations, integration opportunities, growth since launch, international usage, members, support available, and how to join ORCID.
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.
Building a collaborative RDM community, research data networkJisc RDM
This document summarizes Dr. Marta Teperek's presentation on building a collaborative research data management (RDM) community. The presentation covered how not to start RDM services by mandating data sharing, and instead focusing on the benefits of sharing. It discussed Cambridge University's democratic approach to developing RDM services by empowering researchers, and the positive feedback received. Collaboration, open communication, and shaping services and policies with researchers were emphasized as key to success.
This document discusses standards for data exchange in healthcare. It begins by defining what standards are and explaining that there are different types of standards including formal, de jure, and de facto. It then discusses why standards are needed in healthcare, particularly to enable interoperability between different healthcare systems. Examples of common healthcare standards are provided, including those for vocabulary and terminology, transporting messages, and content. The document concludes by noting that while standards describe what data to exchange, implementation guides describe how to execute specific use cases.
Standardising research data policies, research data networkJisc RDM
The document discusses standardizing research data policies across journals. It describes an expert group working to develop templates and guidance for data policies. It also discusses a collaboration to implement the Joint Declaration of Data Citation Principles. The group is working with Springer Nature to help standardize their data policies across journals into four main types. The goal is to improve data sharing, citation and reuse.
Introduction to the Research Integrity Advisor Data Management Workshop, Bris...ARDC
Dr Jacobs' introduction to the RIA Data Management Workshop in Brisbane on 31 March 2017. The RIA Data Management Workshop series is a joint collaboration of the Australian Research Council, the National Health and Medical Research Council, the Australasian Research Management Society and the Australian National Data Service.
This document discusses data publishing and management. It introduces the advantages of publishing research data, including increasing citations, recognition and meeting grant requirements. It outlines best practices for data management planning and provides examples of data publishing platforms like SHaRED. The document advises that major journals and funding bodies now require data publication in open repositories to promote open access and data sharing in science.
Presentation given at the European Research Council workshop on research data management and sharing in Brussels on 18th-19th September 2014. The presentation covers the benefits and drivers for RDM, points to relevant tools and resources and closes with some open questions for discussion.
1) ORCID is a non-profit organization that launched in 2010 to create a central registry of researcher identities and link them to contributions such as publications, datasets, and patents.
2) ORCID aims to support reliable attribution of authors and enable discovery and evaluation of researchers' scholarly works by transcending boundaries and making profile data freely available in standard and open formats.
3) ORCID will be sustained through a combination of free and fee-based services, with fees set to ensure its long-term viability as a not-for-profit focused on persistent identification.
A presentation offering an introduction to managing and sharing research data given at the Czech Open Science days as part of the EC-funded FOSTER project.
Stop press: should embargo conditions apply to metadata?Jisc RDM
Sarah Middle of Cambridge University discusses whether embargo conditions should apply to metadata. Session held at the Research Data Network event in May 2016, Cardiff University.
Research Data Management in practice, RIA Data Management Workshop Brisbane 2017ARDC
The Australian National Data Service (ANDS) aims to make Australian research data more valuable by partnering with research organizations and funding data projects. In 2015, ANDS conducted over 100 workshops and events with over 4,000 participants and developed online resources. ANDS provides guides on topics like data management and the FAIR data principles. ANDS also advocates for practices like data citation and publishing to ensure research data is preserved and reusable over time. The presentation outlines ANDS' role in supporting good research data management practices and sharing to ensure the integrity and impact of research evidence.
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.
This presentation was provided by Dr. Paul Burton of the University of Bristol during the NISO Symposium, Privacy Implications of Research Data, held on September 11, 2016, in conjunction with the International Data Week in Denver, Colorado.
Presentation given to EC project officers as part of workshops run by the FOSTER (foster open science) project. The presentation covers the Horizon 2020 open data pilot.
Presentation given by Kate LeMay at the 'Sharing Health-y Data: Challenges and Solutions' workshop, held at The Menzies Research Institute (Hobart, Tasmania) on 28th June 2016. The event was co-hosted by ANDS and the University of Tasmania library
This document discusses licensing research data for reuse. It begins by providing a scenario where a user has downloaded a dataset but is unsure what they can do with the data due to licensing. It then discusses that licensing is critical to enabling data reuse and citation. It provides information on AusGOAL, the Australian open access and licensing framework, and notes it is recommended for data publishing by ANDS partners. It also includes links to licensing guides and FAQs. In summary, the document emphasizes the importance of data licensing for enabling reuse and outlines Australia's recommended licensing system.
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
Introduction to research data managementrds-wayne-edu
This document provides an introduction to research data management. It discusses why sharing and preserving data is important, including meeting funder requirements and enabling data reuse. It outlines common barriers to data sharing, such as time and lack of credit. The document then reviews data sharing policies from various funders and journals. It provides examples of National Science Foundation data management plans and ways to share data, such as through repositories, personal websites or data journals. Overall, the document aims to introduce best practices for managing, sharing and preserving research data.
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.
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.
This document discusses best practices for preparing and sharing research data. It emphasizes obtaining proper consent from participants, performing a risk analysis to avoid re-identification, and considering appropriate sharing methods such as data repositories. Sharing data benefits the research community by encouraging new collaborations and validation of results, but must be balanced with obligations to protect participants and intellectual property. The document provides guidance on topics like data licensing, anonymization, and the policies of research institutions and journals regarding data sharing.
Open Insights Harvard DBMI - Personal Health Train - Kees van Bochove - The HyveKees van Bochove
In this talk, the Personal Health Train concept will be introduced, which enables running personalized medicine workflows as trains visiting data stations (e.g. hospital records, primary care records, clinical studies and registries, patient-held data from e.g. wearable sensors etc.) The Personal Health Train is a very powerful concept, which is however dependent on source medical data to be coded with appropriate metadata on consent, license, scope etc. of the data, and the data itself to be encoded using biomedical data standards, which is an ever growing field in biomedical informatics. In order to realize the Personal Health Train biomedical data will need to be FAIR, i.e. adopt the FAIR Guiding Principles. This talk will cover the emerging GO-FAIR international movement, and provide examples of how several European health data networks currently are adopting open standards based stacks, to enable routine health care data to be come accessible for research.
Data sharing promotes many goals of the NIH research endeavor. It is particularly important for unique data that cannot be readily replicated. Data sharing allows scientists to expedite the translation of research results into knowledge, products, and procedures to improve human health. Do you know what a data sharing plan should include? Are you aware of common practices and standards for data sharing? Do you know what services are available to help share your data responsibly? This workshop will begin to address these questions. Q&A will follow the presentation. Anyone interested in or planning to apply for NIH funding should attend. Note: The NIH data-sharing policy applies to applicants seeking $500,000 or more in direct costs in any year of the proposed research.
The document discusses open data and data sharing, including defining open data, the benefits of open data, overcoming barriers to opening data such as concerns about scooping and sensitive data, best practices for making data open through formats, licensing and description, and the role of research databases and data citation in promoting open data.
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.
Workshop finding and accessing data - fiona nadia charlotte - cambridge apr...Fiona Nielsen
Workshop presentation on finding and accessing human genomics data for research.
Including statistics of publicly available data sources and tips on how to save time in your workflow of data access.
Organised in collaboration between DNAdigest and Open Data Cambridge.
Read more about our work:
http://DNAdigest.org
http://repositive.io
https://uk.linkedin.com/in/fionanielsen
http://www.data.cam.ac.uk
Workshop - finding and accessing data - Cambridge August 22 2016Fiona Nielsen
Finding and accessing human genomic data for research
University of Cambridge, United Kingdom | Seminar Room G
Monday, 22 August 2016 from 10:00 to 12:00 (BST)
Charlotte, Nadia and Fiona presented an overview of data sources around the world where you can find genomics data for your research and gave examples of the data access application for dbGaP and EGA with specific details relevant for University of Cambridge researchers.
Slides presented during the "Open Access Research Data Sharing Requirements: Are you ready?” on 27 Oct 2016 @ NTU.
Questions and comments from the participants have been posted on Scholarly Communication Blog (https://blogs.ntu.edu.sg/lib-scholarlycomm/?p=18865).
Dr Paul Wong, Senior Data Management Specialist, Australian National Data Service (ANDS) presented at the Research Integrity Advisor Research Data Management Workshop in Hobart, 2017
The document discusses research data sharing and data availability statements. It defines a data availability statement as a statement describing how research data can be accessed and under what conditions. There are three main ways to share research data: data repositories, supplementary files, and upon request. Writing a good data availability statement involves answering questions about the raw data, where it can be accessed, any conditions for access, and restrictions. Sharing data openly increases transparency, collaboration, citations and reproducibility of research.
Data Sharing with ICPSR: Fueling the Cycle of Science through Discovery, Acce...ICPSR
Data Sharing with ICPSR was presented at IASSIST 2015 in Minneapolis, MN.
The learning objectives and content cover:
- Federal data sharing requirements and
other good reasons to share data
• Options for sharing data
• Protection of confidentiality when
sharing data
• Data discovery tools
• Online data exploration tools from ICPSR
Pistoia Alliance European Conference 2015 - Julia Wilson / Global Alliance fo...Pistoia Alliance
The document discusses the challenge of unlocking the potential of the unparalleled generation of human genomic and genetic data in a way that allows global data sharing. It introduces the Global Alliance for Genomics and Health, an international organization working to catalyze responsible data sharing through establishing interoperable standards and approaches. Key activities of the Global Alliance include several data sharing projects and working groups focused on clinical data, data representation, and ethics. The document encourages further international collaboration and participation to realize the benefits of genomic data sharing.
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.
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.
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.
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.
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.
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.
The document discusses resources for making data FAIR (Findable, Accessible, Interoperable, and Reusable). It summarizes a survey that showed awareness of the FAIR principles was varying but growing, and most respondents would recommend them. It then describes training materials and a self-assessment tool to help make data more FAIR. Finally, it outlines future plans to provide more guidance and tools to implement FAIR practices.
The document discusses various ways that individuals can get the most out of participating in the Research Data Alliance (RDA). It lists activities like attending plenaries, preparing posters, co-chairing working groups, working on joint papers, discussing projects, and meeting people in the field. Through these engagements, participants can gain skills, enhance their reputation, build international networks, and influence strategies. The RDA provides infrastructure and governance to support collaboration and help participants leverage expertise to address issues and better understand policies and requirements in their own work.
Did you know that drowning is a leading cause of unintentional death among young children? According to recent data, children aged 1-4 years are at the highest risk. Let's raise awareness and take steps to prevent these tragic incidents. Supervision, barriers around pools, and learning CPR can make a difference. Stay safe this summer!
Enhanced data collection methods can help uncover the true extent of child abuse and neglect. This includes Integrated Data Systems from various sources (e.g., schools, healthcare providers, social services) to identify patterns and potential cases of abuse and neglect.
Open Source Contributions to Postgres: The Basics POSETTE 2024ElizabethGarrettChri
Postgres is the most advanced open-source database in the world and it's supported by a community, not a single company. So how does this work? How does code actually get into Postgres? I recently had a patch submitted and committed and I want to share what I learned in that process. I’ll give you an overview of Postgres versions and how the underlying project codebase functions. I’ll also show you the process for submitting a patch and getting that tested and committed.
We are pleased to share with you the latest VCOSA statistical report on the cotton and yarn industry for the month of May 2024.
Starting from January 2024, the full weekly and monthly reports will only be available for free to VCOSA members. To access the complete weekly report with figures, charts, and detailed analysis of the cotton fiber market in the past week, interested parties are kindly requested to contact VCOSA to subscribe to the newsletter.
Cell The Unit of Life for NEET Multiple Choice Questions.docx
HLA PD Day 18 July 2016
1. Kate LeMay
Common (and curly) questions about
sharing health/medical data
Senior Research Data Specialist
18 July 2016
2. The Australian National Data Service (ANDS) makes
Australia’s research data assets more valuable for
researchers, research institutions and the nation.
4. Sharing Health-y Data: Challenges and Solutions
2015-2016
FAQs from discussion
& feedback
~450 professionals
Answers
5. National Statement on Ethical Conduct in Human Research
Australian Code for Responsible Conduct of Research
NHMRC Statement on Data Sharing (2015)
New Human Research Ethics Application (HREA – replaces NEAF)
Institutional guidelines vary
How do ethical/institutional guidelines
support/conflict with sharing data?
7. AusGOAL licensing framework
• Six Australian Creative Commons (CC) Version
4.0 licences
• Restrictive Licence Template (RLT)
• BSD 3-Clause Software Licence
ANDS endorses AusGOAL
Wide support by Federal and
State Governments
http://www.ausgoal.gov.au
8. Licensing and data
NOT FOR DATA
Slide is courtesy of Baden Appleyard – Director of AusGOAL
9. When CC licence not suitable
Restrictive Licences can ‘bespoke’ your
conditions of access and use
http://www.ausgoal.gov.au/restrictive-
licence-template
*Check with your DM support,
School/Department/Institution to see if
one already exists for you to repurpose
10. How to apply a licence?
• Ownership
• IP policies
• Collaborations: agree – before collecting the data
• Apply the marking (image) and/or statement
• Make it visible on the document, repository record,
and/or attached to the data
11. How can data be shared if it is combined
from multiple (health) sources?
17. What about sharing data that can’t be
de-identified?
healthtalkaustralia.org
Informed
consent
18. Personal Genome Project
http://www.personalgenomes.org/
Some useful articles about informed consent for open genomic data
http://arep.med.harvard.edu/pdf/Lunshof08.pdf
http://lsspjournal.springeropen.com/articles/10.1186/s40504-014-0020-9
http://genomesunzipped.org/2010/10/why-public-genomics-is-not-a-
purely-personal-decision.php#more-1186
Open consent for genomic data
21. Senior Research Data Specialist
kate.lemay@ands.org.au
Kate LeMay
With the exception of logos, third party images or where otherwise indicated, this
work is licensed under the Creative Commons Australia Attribution 3.0 Licence.
ANDS is supported by the Australian
Government through the National Collaborative
Research Infrastructure Strategy Program.
Monash University leads the partnership with
the Australian National University and CSIRO.