Research Integrity Advisor and Data ManagementARDC
Dr Paul Wong from the Australian Research Data Commons presented at the 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.
Principles, key responsibilities, and their intersectionARDC
Dr Daniel Barr from RMIT University presented at the 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.
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 Management at UWAKatina Toufexis
This document summarizes the key benefits of research data management. It discusses how research data management helps with compliance by meeting requirements of international and national funding agencies as well as publishers. It also promotes efficiency in the research process, ensures security of data, allows access for validation and collaboration, and improves quality through enabling replication. The document provides an overview of the Research Data Management Toolkit available at UWA to support researchers in managing their data over the research lifecycle.
Open science curriculum for students, June 2019Dag Endresen
Living Norway seminar on Open Science in Trondheim 12th June 2019.
https://livingnorway.no/2019/04/26/living-norway-seminar-2019/
https://www.gbif.no/events/2019/living-norway-seminar.html
Slides from Monday 30 July - Data in the Scholarly Communications Life Cycle Course which is part of the FORCE11 Scholarly Communications Institute.
Presenter - Natasha Simons
Presentation for Northwestern University's first Computational Research Day, April 22, 2014. http://www.it.northwestern.edu/research/about/campus-events/research-day/agenda.html . By Cunera Buys, e-Science Librarian, and Claire Stewart, Director, Center for Scholarly Communication and Digital Curation and Head, Digital Collections
Research Integrity Advisor and Data ManagementARDC
Dr Paul Wong from the Australian Research Data Commons presented at the 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.
Principles, key responsibilities, and their intersectionARDC
Dr Daniel Barr from RMIT University presented at the 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.
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 Management at UWAKatina Toufexis
This document summarizes the key benefits of research data management. It discusses how research data management helps with compliance by meeting requirements of international and national funding agencies as well as publishers. It also promotes efficiency in the research process, ensures security of data, allows access for validation and collaboration, and improves quality through enabling replication. The document provides an overview of the Research Data Management Toolkit available at UWA to support researchers in managing their data over the research lifecycle.
Open science curriculum for students, June 2019Dag Endresen
Living Norway seminar on Open Science in Trondheim 12th June 2019.
https://livingnorway.no/2019/04/26/living-norway-seminar-2019/
https://www.gbif.no/events/2019/living-norway-seminar.html
Slides from Monday 30 July - Data in the Scholarly Communications Life Cycle Course which is part of the FORCE11 Scholarly Communications Institute.
Presenter - Natasha Simons
Presentation for Northwestern University's first Computational Research Day, April 22, 2014. http://www.it.northwestern.edu/research/about/campus-events/research-day/agenda.html . By Cunera Buys, e-Science Librarian, and Claire Stewart, Director, Center for Scholarly Communication and Digital Curation and Head, Digital Collections
Data collection is the process of systematically gathering information to answer research questions. Accurate data collection is essential to maintaining research integrity. Issues that can compromise integrity include errors in data collection instruments or procedures. Quality assurance and quality control help ensure integrity. Quality assurance occurs before data collection through standardized protocols and manuals. Quality control occurs during and after collection through review and validation of data. Maintaining integrity supports accurate conclusions and prevents wasted resources.
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.
Jonathan Tedds Distinguished Lecture at DLab, UC Berkeley, 12 Sep 2013: "The ...Jonathan Tedds
This document discusses open access to research data and peer review of data publications. It notes that as a first step, data underpinning journal articles should be made concurrently available in accessible databases. The Royal Society report in 2012 advocated for all science literature and data to be online and interoperable. Key issues in linking data to the scientific record are data persistence, quality, attribution, and credit. The document provides examples from astronomy of data reuse leading to new publications and cites a study finding poor reproducibility of ecological data sets over time as data availability declines. It outlines different levels of research data from raw to processed to published and discusses initiatives for open data publication and peer review.
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.
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.
The FOSTER project aims to support stakeholders, especially young researchers, in adopting open access practices that comply with Horizon 2020 requirements. It will develop training materials and an e-learning portal, deliver face-to-face training for trainers, and help institutions strengthen their open access training capacity. The project seeks to facilitate adoption of open access policies across European funders in line with the EC's recommendation and support the transition to open science.
Enhancing Our Capacity for Large Health Dataset AnalysisCTSI at UCSF
Overview of UCSF-CTSI Comparative Effectiveness Large Dataset Analysis Core, which offers resources for the analysis of large, public data sets on health and health care.
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 about OHSL's new initiative, Mycroft Cognitive Assistant®, which is intended to streamline the operational aspects of research using IBM Watson cognitive computing capabilities.
IRJET- Characteristics of Research Process and Methods for Web-Based Rese...IRJET Journal
This document discusses characteristics of web-based research support systems (WRSS). It presents a framework for WRSS that focuses on supporting various phases of the research process through different information systems and sub-systems. WRSS aim to help scientists find relevant information, choose appropriate tools, and effectively present research results. The document provides an overview of the research process and phases that WRSS could support, such as idea generation, problem definition, planning experiments, analyzing data, and disseminating findings.
This document discusses the need for open science due to a reproducibility crisis in many scientific disciplines. It notes that many published findings cannot be replicated and estimates that at least two-thirds of published results in psychology and biomedicine may be incorrect. This represents a credibility crisis that undermines public trust in science. The document argues that adopting practices of open science such as preregistration, open data, and detailed documentation can help address this crisis by reducing biases, enabling replication, and increasing transparency and reproducibility. Open science is presented as a means of improving research quality and accelerating discovery for the benefit of both science and society.
Cemal H. Guvercin MedicReS 5th World Congress MedicReS
Ethical Issues in Artifical Intelligence Applied to Medicine Presentation to MedicReS 5th World Congress on October 19,25,2015 in New York by Cemal H. Guvercin, MD, PhD
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.
Open Data - strategies for research data management & impact of best practicesMartin Donnelly
This document summarizes a presentation on open data strategies and research data management best practices. It discusses the importance of open data as part of the broader open science movement. The presenter outlines good practices for research data management, including planning, documentation, storage, and deposition. Benefits of good research data management include increased impact, accessibility, transparency, efficiency and data durability. Risks of poor management include legal issues, financial penalties, lost scientific opportunities and reputational harm. The presentation provides a step-by-step approach to research data management and discusses roles and responsibilities of different stakeholders.
Presented at the Research Support Community Day by Natasha Simons (Program Leader for Skills, Policy and Resources, Australian National Data Service)
An increasing number of scholarly publishers and journals are implementing policies and procedures that require published articles to be accompanied by the underlying research data. These policies are an important part of the shift toward reproducible research and have been shown to influence researchers’ willingness to share research data to varying extents. However journal data availability policies are highly idiosyncratic, vary in strength from encouraging to mandating data sharing, and are often difficult to interpret. This makes it challenging for researchers to comply, editors to introduce and research support staff to assist. This presentation examined why and how more scholarly publishers/journals are introducing data availability policies and explore the differences in journal data sharing policies, referring to examples. It outlined the challenges of current data policies, what is expected of various stakeholders, and reflect on efforts in Australia to engage stakeholders in conversation to improve data policies including 2017 Social Sciences and Health and Medical roundtables. It concluded with an update on international collaborations that are helping to facilitate wider adoption of clear, consistent policies for publishing research data.
Jessica Broderick provides her contact information and lists six professional references including Sharon Klem from TAG Pharmacy, Paula Caramanico from Aston Pharmacy Home Health Center, Michelle McIver from Mirmont Treatment Center, Joseph McNeill and Dr. Maria McNeill from Aston Pharmacy Home Health Center, and Noelle Murtha from Adult Probation and Parole Services, along with their contact phone numbers.
I want to be an artistic gymnast because I love gymnastics and spending time training in the gym. Artistic gymnasts wear leggings and costumes as they perform exercises and routines. They train a lot to improve their skills and perform at their best.
Data collection is the process of systematically gathering information to answer research questions. Accurate data collection is essential to maintaining research integrity. Issues that can compromise integrity include errors in data collection instruments or procedures. Quality assurance and quality control help ensure integrity. Quality assurance occurs before data collection through standardized protocols and manuals. Quality control occurs during and after collection through review and validation of data. Maintaining integrity supports accurate conclusions and prevents wasted resources.
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.
Jonathan Tedds Distinguished Lecture at DLab, UC Berkeley, 12 Sep 2013: "The ...Jonathan Tedds
This document discusses open access to research data and peer review of data publications. It notes that as a first step, data underpinning journal articles should be made concurrently available in accessible databases. The Royal Society report in 2012 advocated for all science literature and data to be online and interoperable. Key issues in linking data to the scientific record are data persistence, quality, attribution, and credit. The document provides examples from astronomy of data reuse leading to new publications and cites a study finding poor reproducibility of ecological data sets over time as data availability declines. It outlines different levels of research data from raw to processed to published and discusses initiatives for open data publication and peer review.
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.
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.
The FOSTER project aims to support stakeholders, especially young researchers, in adopting open access practices that comply with Horizon 2020 requirements. It will develop training materials and an e-learning portal, deliver face-to-face training for trainers, and help institutions strengthen their open access training capacity. The project seeks to facilitate adoption of open access policies across European funders in line with the EC's recommendation and support the transition to open science.
Enhancing Our Capacity for Large Health Dataset AnalysisCTSI at UCSF
Overview of UCSF-CTSI Comparative Effectiveness Large Dataset Analysis Core, which offers resources for the analysis of large, public data sets on health and health care.
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 about OHSL's new initiative, Mycroft Cognitive Assistant®, which is intended to streamline the operational aspects of research using IBM Watson cognitive computing capabilities.
IRJET- Characteristics of Research Process and Methods for Web-Based Rese...IRJET Journal
This document discusses characteristics of web-based research support systems (WRSS). It presents a framework for WRSS that focuses on supporting various phases of the research process through different information systems and sub-systems. WRSS aim to help scientists find relevant information, choose appropriate tools, and effectively present research results. The document provides an overview of the research process and phases that WRSS could support, such as idea generation, problem definition, planning experiments, analyzing data, and disseminating findings.
This document discusses the need for open science due to a reproducibility crisis in many scientific disciplines. It notes that many published findings cannot be replicated and estimates that at least two-thirds of published results in psychology and biomedicine may be incorrect. This represents a credibility crisis that undermines public trust in science. The document argues that adopting practices of open science such as preregistration, open data, and detailed documentation can help address this crisis by reducing biases, enabling replication, and increasing transparency and reproducibility. Open science is presented as a means of improving research quality and accelerating discovery for the benefit of both science and society.
Cemal H. Guvercin MedicReS 5th World Congress MedicReS
Ethical Issues in Artifical Intelligence Applied to Medicine Presentation to MedicReS 5th World Congress on October 19,25,2015 in New York by Cemal H. Guvercin, MD, PhD
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.
Open Data - strategies for research data management & impact of best practicesMartin Donnelly
This document summarizes a presentation on open data strategies and research data management best practices. It discusses the importance of open data as part of the broader open science movement. The presenter outlines good practices for research data management, including planning, documentation, storage, and deposition. Benefits of good research data management include increased impact, accessibility, transparency, efficiency and data durability. Risks of poor management include legal issues, financial penalties, lost scientific opportunities and reputational harm. The presentation provides a step-by-step approach to research data management and discusses roles and responsibilities of different stakeholders.
Presented at the Research Support Community Day by Natasha Simons (Program Leader for Skills, Policy and Resources, Australian National Data Service)
An increasing number of scholarly publishers and journals are implementing policies and procedures that require published articles to be accompanied by the underlying research data. These policies are an important part of the shift toward reproducible research and have been shown to influence researchers’ willingness to share research data to varying extents. However journal data availability policies are highly idiosyncratic, vary in strength from encouraging to mandating data sharing, and are often difficult to interpret. This makes it challenging for researchers to comply, editors to introduce and research support staff to assist. This presentation examined why and how more scholarly publishers/journals are introducing data availability policies and explore the differences in journal data sharing policies, referring to examples. It outlined the challenges of current data policies, what is expected of various stakeholders, and reflect on efforts in Australia to engage stakeholders in conversation to improve data policies including 2017 Social Sciences and Health and Medical roundtables. It concluded with an update on international collaborations that are helping to facilitate wider adoption of clear, consistent policies for publishing research data.
Jessica Broderick provides her contact information and lists six professional references including Sharon Klem from TAG Pharmacy, Paula Caramanico from Aston Pharmacy Home Health Center, Michelle McIver from Mirmont Treatment Center, Joseph McNeill and Dr. Maria McNeill from Aston Pharmacy Home Health Center, and Noelle Murtha from Adult Probation and Parole Services, along with their contact phone numbers.
I want to be an artistic gymnast because I love gymnastics and spending time training in the gym. Artistic gymnasts wear leggings and costumes as they perform exercises and routines. They train a lot to improve their skills and perform at their best.
El documento proporciona una lista provisional de candidatos para el programa Erasmus en Portugal en diferentes especialidades de grado medio, incluyendo Electromecánica de Vehículos, Carrocería, Instalaciones de Telecomunicaciones e Instalaciones Electrotécnicas. Se especifica que el alumno Adrián Carrasco Valerio debe entregar su expediente académico y que el plazo para subsanar cualquier deficiencia finaliza el 8 de noviembre a las 21:00 horas.
I want to be an engineer because it is an interesting job where you meet new people. While I love working in the country and with grape vines, being an engineer does not require a uniform and involves working hard.
This document provides a summary of Celeste Hiraldo's qualifications for a career in healthcare or business. She has over 10 years of experience working in various roles in dentistry practices and is seeking a new position where she can apply her skills and knowledge. She is currently pursuing an MBA and has obtained several dental assisting certifications.
Jessica Broderick worked as an employee at TAG Pharmacy where her supervisor found her to be very efficient and helpful, able to pitch in with little notice. While employed, Jessica supported her supervisor with tasks like training new hires and compiling data. Both management and coworkers commented on Jessica's loyalty and ability to lead by example. Her supervisor highly recommends Jessica as a valuable addition to any company.
El documento presenta el calendario de partidos de la ronda eliminatoria de un torneo de handball varonil de categoría 2003 primaria. Se detallan 8 canchas donde se llevarán a cabo 16 partidos el 9 de junio de 2015 entre equipos de diferentes estados, anotando para cada enfrentamiento el estado, los goles y puntos obtenidos por cada equipo.
Taller eTwinning INS Tecnificació 2015-16 Sessió 3Florencisales
Este documento describe las características y funcionalidades del TwinSpace de eTwinning, que es un espacio de trabajo en línea seguro para proyectos eTwinning. El TwinSpace permite a los usuarios crear páginas y subpáginas para gestionar proyectos, compartir materiales como imágenes y videos, comunicarse a través de foros y chats en vivo, administrar miembros y roles, y difundir los resultados de los proyectos que no sean productos intelectuales.
Listasolicitudes ka 102 oct 2015 alfabetico ROBERTOLAJAS
Este documento lista los nombres de los solicitantes que han solicitado una beca para participar en el proyecto de movilidad ERASMUS+ KA102 "BECAS TELLEZ EN PORTUGAL: ABRIENDO FRONTERAS CAMBIANDO VIDAS" del IES "JAVIER GARCIA TELLEZ" en Cáceres, España. La comisión de selección ha recibido solicitudes de 34 estudiantes para disfrutar de las becas Tellez y realizar una estancia en Portugal.
This document discusses how to leverage fundraising events to bring in new donors and expand fundraising. It notes that while events have costs, they can build awareness, engage new audiences, and gain corporate support. The key is to see events not as ends but as opportunities to move attendees along a donor cycle from awareness to investment. Strategies include gathering donor information, educating about the mission, following up after the event, recognizing donors, and asking attendees to get further involved through online engagement or volunteering. The goal is to thoughtfully plan events that provide opportunities for attendees to deepen their involvement over time.
The document is about a photo album for the Microlink Innovation Centre located on the 4th floor of Sarthik building near ISCON circle on Satellite Road in Ahmedabad, Gujarat. The photo album was inaugurated on March 28, 2015.
The document summarizes the Jisc Managing Research Data Programme which aims to support universities in improving research data management. It discusses why managing research data is important, highlighting funder policies and the benefits of open data. It provides an overview of Jisc's activities including training projects, guidance resources, and funding for institutional infrastructure services and repositories. The presentation emphasizes the importance of institutional policies, support services, skills development and cultural change to effectively manage research data in line with funder expectations.
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.
Alain Frey Research Data for universities and information producersIncisive_Events
Research data is growing exponentially but is disparate and challenging to understand fully. Universities face challenges in managing research data to meet funding and standards requirements. Thomson Reuters launched the Data Citation Index to make research data discoverable, accessible, and citable by bringing important data from diverse repositories into one searchable index. This addresses the need for a single access point for quality research data across disciplines and locations.
Why we care about research data? Why we share?Richard Ferrers
An introduction to why ANDS cares about research data. ANDS, the Australian National Data Service, encourages researchers to share data. This presentation explains why.
Research Data Management: Part 1, Principles & ResponsibilitiesAmyLN
This two-part course is a collaboration between CU Libraries/Information Services and the Office of Research Compliance & Training. The purpose of this course is to familiarize you with the various aspects of research data management (RDM)
Part 1: Why RDM is both recommended and required
What research data are
Who is responsible for RDM
Part 2:
When RDM activities occur
How you can carry out RDM activities
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.
Managing and Sharing Research Data: Good practices for an ideal world...in th...Martin Donnelly
This document discusses managing and sharing research data in an ideal versus real world setting. It outlines the agenda which includes an introduction, defining research data management, discussing ethics and integrity, context and policy drivers, incentives for data management, practical considerations, case studies, and concludes with a Q&A. Key points covered include the importance of documentation, metadata, backups, and depositing data long-term. Research data management is important for reproducibility, ethics, and increasingly required by funders and journals.
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)
Data Management for Postgraduate students by Lynn Woolfreypvhead123
This document discusses research data management for postgraduates. It explains that research data management refers to storing, accessing, and preserving research data. It notes that funders and universities now require data management plans for funding proposals and research. The document provides reasons for doing research data management, such as ensuring long-term data preservation, preventing fraud, and enabling data reuse. It outlines elements to include in a data management plan and resources for writing plans. The document advises that data services can help take the burden of research data management off researchers.
Presentation during the 14th Association of African Universities (AAU) Conference and African Open Science Platform (AOSP)/Research Data Alliance (RDA) Workshop in Accra, Ghana, 7-8 June 2017.
Survey of research data management practices up2010heila1
The document summarizes the findings of a survey conducted by the University of Pretoria Library Services department from October 2009 to March 2010. The survey interviewed 52 researchers and students to evaluate current research data management practices. It found that while support for research activities is good, data management practices are ad hoc and informal. Top needs identified were a central data repository and increased storage options. The report recommends establishing a research data manager position and exploring partnerships with national data initiatives.
This document discusses data management, data intensive research, and the Australian National Data Service (ANDS). It provides examples of research data and outlines trends toward eResearch, open data, and data sharing. ANDS aims to transform disparate research data collections into a cohesive national resource. It is establishing the Australian Research Data Commons to make data findable, accessible, interoperable, and reusable. The document also discusses new roles for libraries in supporting data management and the research data lifecycle.
This document summarizes a JISC webinar on meeting the research data challenge. It discusses:
1) JISC's role in providing national research infrastructure and supporting universities to make effective use of technology in research and data management.
2) The challenges of increasing data volumes, diversity, and lack of understanding around data management best practices.
3) Key drivers to improve data management including research integrity, funder policies, freedom of information regulations, and preparing for the Research Excellence Framework.
Paper was presented at European Survey Research Association 2013, in the session Research Data Management for Re-use: Bringing Researchers and Archivists closer.
Martin Donnelly presented information on facilitating open science training for European research. The presentation covered:
1) An overview of open access, open data, and open science and how they are linked.
2) Details on the Horizon 2020 Open Research Data Pilot, including its scope, data management plan requirements, and opt-out conditions.
3) Information on the FOSTER project, which aims to support adoption of open access policies and compliance with Horizon 2020 requirements through training programs.
The Horizon2020 Open Data Pilot - OpenAIRE WebinarMartin Donnelly
Martin Donnelly presented information on facilitating open science training for European research. The presentation covered:
1) An overview of open access, open data, and open science and how they are linked.
2) Details of the Horizon 2020 Open Research Data Pilot, including its aims, scope, and specifics around data management plans and sharing requirements.
3) Resources for developing data management plans from the Digital Curation Centre and other organizations.
4) An introduction to the FOSTER project which aims to support adoption of open access and compliance with Horizon 2020 requirements through training.
A basic course on Research data management, part 1: what and whyLeon Osinski
A basic course on research data management for PhD students. The course consists of 4 parts. The course was given at Eindhoven University of Technology (TUe), 24-01-2017
This document outlines a briefing on research data management (RDM) at LSBU. It defines RDM and research data, discusses why RDM has gained increased interest and attention due to factors like funder policies and legislative changes. It describes the benefits of RDM for researchers and institutions. It then outlines LSBU's RDM policy, which includes requirements for data management plans, data storage, sharing, and citation. The document discusses next steps for LSBU, including a survey of current practices, case studies, interviews, and launching an institutional data repository in 2016. It notes both opportunities, like training workshops, and challenges to implementing RDM, such as changing researcher behaviors and incentives.
Similar to Research Data Management Services at UWA (July 2015) (20)
Data Access & Storage @ UWA - UWA Research Week September 2017Katina Toufexis
The document discusses research data management services provided by the University of Western Australia (UWA) Library. It notes that funders like the Australian Research Council (ARC) and National Health and Medical Research Council (NHMRC) require research data to be managed and shared. UWA policies also require research data related to publications to be available through the UWA Research Repository. The document provides guidance on creating data management plans, using appropriate licenses, and securely storing data long-term using the Institutional Research Data Storage (IRDS) system rather than third-party cloud services like Dropbox.
2017 05 03 Implementing Pure at UWA - ANDS Webinar SeriesKatina Toufexis
This document summarizes the University of Western Australia's efforts to consolidate its research data systems. It discusses the migration of datasets from its existing DSpace repository to its new Pure repository to have a single system for publications, theses, and datasets. The migration project timeline and functional requirements are outlined, along with issues encountered with the previous DSpace and Vivo systems. Finally, future plans are mentioned, such as enabling dataset submissions directly in Pure and linking publications, theses, and datasets from the same grants/instruments.
This document provides information on research data management services at UWA. It discusses creating data management plans, funder and publisher requirements for data sharing, using the Research Data Online repository, data storage options like IRDS and UniDrive, and contacts for further assistance. Managing research data properly ensures compliance, reproducibility, and legacy of research outputs.
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) The 23 Things is a program that releases one research data management task or "Thing" per week for participants to complete at their own pace.
2) The University of Western Australia (UWA) holds monthly catch-up webinars to discuss the national webinars and Things. There is also a private Google discussion group for UWA participants.
3) The calendar outlines the 23 Things released from March to October 2016, with catch-up webinars at UWA each month to review topics and participate in the national webinars.
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.
The document outlines a 23 Things program for research data management training, which releases weekly activities and has monthly webinars, and provides a calendar of events and list of coordinators for the program at UWA.
This document discusses research data management services at the University of Western Australia (UWA). It provides information on the Institutional Research Data Store (IRDS), a no-cost research data storage option for UWA researchers that provides 25GB of secure storage. It also discusses requirements for research data management and sharing from funding bodies like the Australian Research Council, and options for making data available through UWA's Research Data Online platform. Contact information is provided for the Research Data Coordinator for any questions.
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A review of the growth of the Israel Genealogy Research Association Database Collection for the last 12 months. Our collection is now passed the 3 million mark and still growing. See which archives have contributed the most. See the different types of records we have, and which years have had records added. You can also see what we have for the future.
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"Learn about all the ways Walmart supports nonprofit organizations.
You will hear from Liz Willett, the Head of Nonprofits, and hear about what Walmart is doing to help nonprofits, including Walmart Business and Spark Good. Walmart Business+ is a new offer for nonprofits that offers discounts and also streamlines nonprofits order and expense tracking, saving time and money.
The webinar may also give some examples on how nonprofits can best leverage Walmart Business+.
The event will cover the following::
Walmart Business + (https://business.walmart.com/plus) is a new shopping experience for nonprofits, schools, and local business customers that connects an exclusive online shopping experience to stores. Benefits include free delivery and shipping, a 'Spend Analytics” feature, special discounts, deals and tax-exempt shopping.
Special TechSoup offer for a free 180 days membership, and up to $150 in discounts on eligible orders.
Spark Good (walmart.com/sparkgood) is a charitable platform that enables nonprofits to receive donations directly from customers and associates.
Answers about how you can do more with Walmart!"
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
This presentation includes basic of PCOS their pathology and treatment and also Ayurveda correlation of PCOS and Ayurvedic line of treatment mentioned in classics.
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
How to Build a Module in Odoo 17 Using the Scaffold MethodCeline George
Odoo provides an option for creating a module by using a single line command. By using this command the user can make a whole structure of a module. It is very easy for a beginner to make a module. There is no need to make each file manually. This slide will show how to create a module using the scaffold method.
বাংলাদেশের অর্থনৈতিক সমীক্ষা ২০২৪ [Bangladesh Economic Review 2024 Bangla.pdf] কম্পিউটার , ট্যাব ও স্মার্ট ফোন ভার্সন সহ সম্পূর্ণ বাংলা ই-বুক বা pdf বই " সুচিপত্র ...বুকমার্ক মেনু 🔖 ও হাইপার লিংক মেনু 📝👆 যুক্ত ..
আমাদের সবার জন্য খুব খুব গুরুত্বপূর্ণ একটি বই ..বিসিএস, ব্যাংক, ইউনিভার্সিটি ভর্তি ও যে কোন প্রতিযোগিতা মূলক পরীক্ষার জন্য এর খুব ইম্পরট্যান্ট একটি বিষয় ...তাছাড়া বাংলাদেশের সাম্প্রতিক যে কোন ডাটা বা তথ্য এই বইতে পাবেন ...
তাই একজন নাগরিক হিসাবে এই তথ্য গুলো আপনার জানা প্রয়োজন ...।
বিসিএস ও ব্যাংক এর লিখিত পরীক্ষা ...+এছাড়া মাধ্যমিক ও উচ্চমাধ্যমিকের স্টুডেন্টদের জন্য অনেক কাজে আসবে ...
This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
2. Research Data Management at UWA
1. What is Research Data?
2. Research Data Management 101
3. Research Data Management Services at UWA
4. Research Data Management Plan
5. Research Data Management Toolkit
6. Institutional Research Data Store (IRDS)
7. Research Data Online (RDO)
3. Data Archiving and Networked Services (DANS)
Sharing data: good for science, good
for you
DANS promotes sustained access to digital research data. For this, DANS encourages scientific researchers to
archive and reuse data in a sustained form, for instance via the Australian National Data Service (ANDS)
4. What is Research Data?
Journal
article
Data?
What data?
Book
http://cdn.list25.com/wp-content/uploads/2013/03/Slide173.jpg
5. What do we mean by research data?
What is Research Data?
“It is not possible to apply a uniform definition of research
data across all disciplines. Research data may be
numerical, textual, audio-visual, digital or physical,
depending on the discipline and the nature of the
research.”
Source: University of Sydney Research Data Management Policy 2014
http://sydney.edu.au/policies/showdoc.aspx?recnum=PDOC2013/337
6. What do we mean by research data?
What is Research Data?
Observational
Experimental
Simulation
Derived or Compiled
Reference or Canonical
Images: http://www.designweek.co.uk/news/kram/weisshaar-visualises-big-data/3037975.article; http://www.auntminnie.com/user/images/content_images/sup_mol/2010_07_30_15_55_33_600_PET_CT_MRI_02_450.jpg; http://2.bp.blogspot.com/-
k35MuQYvTZA/TbTov-2kdRI/AAAAAAAAADE/oBF-FZPM6Wo/s400/multivariate.jpg; http://labs.openviewpartners.com/files/2012/05/graph_with_stacks_of_coins-e1349903025956.jpg; http://www.dpgp.org/syntenic_assembly/images/CG15386.png;
http://www.matrixscience.com/images/dbmanager_2.gif
7. Humanities Research Data?
What is Research Data?
Artist’s statement
Exhibition catalogues
Critical reviews
Visual diaries
Journals
Drawings
Photographs
Manuscripts
Musical annotations
3D models
Audio-visual recordings of a creative
work
http://ands.org.au/presentations/index.html
8. The Data Deluge
“Data is more like soup –
it’s messy and you don’t
know what’s in it.”
– Liz Lyon (UK DCC)
“I worry there won't be
enough people around to
do the analysis.”
–Chris Ponting (University of Oxford UK, Computational
biologist)
“A single DNA sequencer can now
generate in a day what it took 10 years
to collect for the Human Genome
Project. Computers are central to
archiving and analysing this
information, but their processing power
isn’t increasing fast enough, and their
costs are decreasing too slowly, to
keep up with the deluge.”
- Elizabeth Pennisi (Science Author)
11. Research Data Management 101
Benefits of Research Data Management
• Meets Compliance
• Promotes Efficiency
• Ensures Security
• Allows Access
• Improves Quality
13. Research Data Management 101
Security
– Risk. Where is your data?
– Safeguards against data loss.
– Ensures confidentiality and
ethical compliance.
– Guarantees legal compliance
to intellectual property rights
such as copyright.
Why protect your data?
15. OECD cares about research data
Access to research data increases the returns from public
investment in this area; reinforces open scientific inquiry;
encourages diversity of studies and opinion; promotes new
areas of work and enables the exploration of topics not
envisioned by the initial investigators.
(OECD principles and guidelines for access to research data from public funding
2007)
http://www.oecd.org/sti/sci-tech/oecdprinciplesandguidelinesforaccesstoresearchdatafrompublicfunding.htm
16. Governments care about research data
The Australian Government now declares that, in order to
promote greater participation in Australia’s democracy, it is
committed to open government based on a culture of
engagement, built on better access to and use of government
held information, and sustained by the innovative use of
technology.
Declaration of Open Government
18. Governments care about research data
“Open access to information held by the State Government will help
stimulate the development of new, innovative applications by all sorts of
private individuals, companies and non-government organisations”
– Campbell Newman 9 Oct 2012 http://statements.qld.gov.au/Statement/2012/10/9/queensland-
governments-open-data-revolution-begins
19. FUNDERS care about research data
Australian Code for the Responsible Conduct of Research
(NHMRC, 2007)
Section 2: Management of Research Data & Primary Materials
“The responsible conduct of research includes the proper management
and retention of the research data. …The central aim is that sufficient
materials and data are retained to justify the outcomes of the research
and to defend them if they are challenged. The potential value of the
material for further research should also be considered, particularly
where the research would be difficult or impossible to repeat.”
https://www.nhmrc.gov.au/guidelines/publications/r39
20. ARC Discovery Grant requirements, February 2014:
MANAGEMENT OF DATA
Outline plans for the management of
data produced as a result of the
proposed research, including but not
limited to storage, access and re-use
arrangements.
FUNDERS care about research data
21. The Public Library of Science PLOS Data Sharing policy:
PLOS journals require authors to make all data underlying the findings
described in their manuscript fully available without restriction, with
rare exception.
From March 2014, you will need to include a “data availability statement”
when you submit your article, explaining where and how your data can be
accessed.
PUBLISHERS care about research data
http://www.plosone.org/static/policies#sharing
22. Nature
“An inherent principle of publication is that others
should be able to replicate and build upon the
authors' published claims.
Therefore, a condition of publication in a Nature
journal is that authors are required to make materials,
data and associated protocols promptly available to
readers without undue qualifications”.
PUBLISHERS care about research data
http://www.nature.com/authors/policies/availability.html
23. British Journal of
Educational Technology
“BJET strongly encourages authors of articles
describing empirical research to make their
data available to others, for example
through an institutional or other repository. If this is
not possible then it will not necessarily preclude
publication in the Journal, but you should note that it
is one of the criteria by which your work will be
assessed.”.
PUBLISHERS care about research data
24. Nature Journals: Scientific Data Journal
Dataset-ONLY journals
PUBLISHERS care about research data
http://www.nature.com/sdata/
25. What about the Humanities??
PUBLISHERS care about research data
Archives of
Scientific
Psychology
30. INSTITUTIONS care about research data
UWA Code of Conduct for the Responsible Practice
of Research
http://www.research.uwa.edu.au/staff/research-policy/guidelines
Section 2 refers to the management of research data and primary materials and states:
2.1 Data (including electronic data) must be recorded in a durable and appropriately
referenced form.
2.2 Data must be held for sufficient time to allow access and reference.
Recommended a minimum 5 years from date publication, but up to 15 years for
specific types (eg clinical studies)
2.3 Wherever possible, original data must be retained in the school or research
centre in which it was generated... In all cases, prior to the publication of research
findings a Location of Data Form must be completed.
These guidelines should be seen as a framework for sound research practice and for the
protection of individual research workers, including both staff and postgraduate research
students, from possible misunderstandings.
31. Research Data Management 101
Benefits of Research Data Management
Allows for data
replication or
reproducibility.
Increases the accuracy
or reliability of the data.
Ensures research data
integrity.
Improves research process.
Encourages systematic
documentation and
descriptions of the research
data.
Provides guidelines and
procedures ensuring
consistency.
Allows data validation and verification.
Enables collaborative research
opportunities.
Prevents duplication.
Allows data sharing and future reuse.
Increases researcher citations.
32. DATA REUSE and Open Data Citation
advantages
The citation benefit intensified over time...
...with publications from 2004 and 2005 cited 30 per cent more often
if their data was freely available.
Every 100 papers with open data prompted 150 "data reuse papers"
within five years
Original authors tended to use their data for only two years, but
others re-used it for up to six years.
Piwowar HA, Vision TJ. (2013) Data reuse and the open data citation advantage. PeerJ 1:e175
http://dx.doi.org/10.7717/peerj.175
35. Creating a Research Data
Management Plan
The Data Management Planning Tool is:
• an online form
• uses the Qualtrics survey platform
• Asks relevant questions pertaining to your research
data
• Sends you an electronic plan directly to your email
after completion
• Download a copy from the Research Data
Management Toolkit
36. Research Data Management Toolkit
http://www.library.uwa.
edu.au/
research/
research-data-
management-toolkit
40. IRDS – New developments
“Any Stores with less than 50% usage for longer than 3
months will be automatically reduced in size.”
41. Access to External Collaborators
IRDS – New developments
Pheme authentication provided to
external collaborators via HR Form:
http://www.hr.uwa.edu.au/__data/as
sets/pdf_file/0006/2172606/Comme
ncement_of_Non-
university_Staff.pdf
42. • All data and associated information created in the course of
conducting research is subject to the UWA Policy on Records
Management.
• All research records must be retained in accordance with the WA
University Sector Disposal Authority.
• Retention periods range from a minimum of 7 years to
permanent depending on the significance and type of research.
• Information can be kept longer if required but must not be
destroyed before the required minimum retention period.
Information Governance Services
Retention and Disposal of Research Data
44. What are the differences?
IRDS vs Pawsey Supercomputing
IRDS Pawsey
Secured by UWA Network P O
Auto backup P O
UWA owned P O
Data located in Australia P O
Very Large File size P P
External collaborator access P P
Long term storage - Helps comply with WAUSDA P O
Working environment O P
45. What are the differences?
IRDS vs Pawsey Supercomputing
Pawsey Supercomputing
46. Recent Case Study
IRDS vs Pawsey Supercomputing
HDR student query
I have been using iVec
(Pawsey) to work on my data
with my collaborators
overseas.
When I’m finished, to meet
WAUSDA requirements, can I
store it there for a minimum
of 7 years?
Our response
No, Pawsey doesn’t comply
with WAUSDA standards.
• Continue to use Pawsey to
work on your data.
• Be aware that Pawsey is
funding dependent.
• They do not provide a long-
term storage solution.
• The IRDS is more suitable to
meet the long term storage
needs/requirements of UWA
researchers
47. Recent Case Study
IRDS vs Dropbox
HDR student query
Can I use Dropbox to transfer
confidential data from
international companies for
my research at UWA?
• Confidentiality?
• Is encryption ok?
• Other cloud storage options?
Our response
Technically, yes, but should
you?
• Contracts/Agreements with data
providers?
• Seek advice from Legal Services
• No charge for < 2GB ; but
>2GB=$$
• Allows access to collaborators.
• Confidential data may not be
safe. The data is being stored
overseas.
• Not managed, maintained or
stored by UWA.
48. Recent Case Study
IRDS vs Dropbox
HDR student query
Can I use Dropbox to transfer
confidential data from
international companies for
my research at UWA?
• Confidentiality?
• Is encryption ok?
• Other cloud storage options?
Our response
Make informed decisions
• UWA’s Information Governance
Services (IGS) provide guidance
on using public cloud storage.
– http://www.igs.uwa.edu.au/p
olicies/guides/auth/cloud-
storage
49. Recent Case Study
IRDS vs Dropbox
HDR student query
Can I use Dropbox to transfer
confidential data from
international companies for
my research at UWA?
• Confidentiality?
• Is encryption ok?
• Other cloud storage options?
Our response
Make informed decisions
• University Policy on: Institutional Data Centre
• University Policy on: Records Management
• Computer and Software Use Regulations
• University Policy on: Records Management
• UWA Code of Conduct for the Responsible
Practice of Research
• UWA Recordkeeping Plan
• Western Australian University Sector Disposal
Authority
• Australian Code for the Responsible Conduct of
Research
• University’s Policy on Privacy of Electronic
Material
50. Recent Case Study
IRDS vs Dropbox
HDR student query
Can I use Dropbox to transfer
confidential data from
international companies for
my research at UWA?
• Confidentiality?
• Is encryption ok?
• Other cloud storage options?
Our response
Pawsey Supercomputing
could be an option
• Can cope with large (‘Big Data’)
datasets and file transfer.
• Allows access to collaborators.
• Not encouraged for long-term
storage (dependent on funding).
• Not managed or maintained by
UWA.
51. Recent Case Study
IRDS vs Dropbox
HDR student query
Can I use Dropbox to transfer
confidential data from
international companies for
my research at UWA?
• Confidentiality?
• Is encryption ok?
• Other cloud storage options?
Our response
IRDS would be an excellent
choice
• Data is stored locally.
• The IRDS maintained and
supported by UWA (Service
Desk Support 24/7)
• Encouraged for long-term
storage and can be used to
comply with WAUSDA.
– “Research records must be
retained for a minimum of 7
years after the date of
publication or project
completion, whichever is later.”
52. Recent Case Study
IRDS vs Dropbox
HDR student query
Can I use Dropbox to transfer
confidential data from
international companies for
my research at UWA?
• Confidentiality?
• Is encryption ok?
• Other cloud storage options?
Our response
IRDS would be an excellent
choice
• Now allows for external
collaborator access
– Pheme authentication
provided to external
collaborators via
http://www.hr.uwa.edu.au/__
data/assets/pdf_file/0006/21
72606/Commencement_of_
Non-university_Staff.pdf
53. Recent Case Study
IRDS vs Dropbox
HDR student query
Can I use Dropbox to transfer
confidential data from
international companies for
my research at UWA?
• Confidentiality?
• Is encryption ok?
• Other cloud storage options?
Our response
IRDS would be an excellent
choice
59. Hooper, CM; Castleden IR; Aryamanesh N;
Jacoby RP; Millar AH, (2015): The
compendium of crop Proteins with Annotated
Locations (cropPAL) version 1. The
University of Western Australia.
http://dx.doi.org/10.4225/23/556e4e260e093
Research Data Online (RDO)
60. Research Data Online (RDO)
Publications
Data
Data connections can be counted
Images: http://www.bigdatarevolutionbook.com/ , http://auditfutures.org/publications/
62. Research Data Online (RDO)
Publications
Data
Data connections can be counted
Images: http://www.bigdatarevolutionbook.com/ , http://auditfutures.org/publications/
63. Research Data Online (RDO)
Data connections
Grant applications?
http://orcid.org/
69. Licence Chooser Tool
Licensing your data
http://www.ausgoal.gov.au/licence-chooser
Currently Offline
Licence Chooser Tool
http://creativecommons.org/choose/
70. Copyright, publishing and Open Access Considerations
Licencing your data
A Shared Culture (Creative Commons)
https://www.youtube.com/watch?v=1DKm96Ftfko
71. Licensing your data
Legal Services
http://www.legalservices.uwa.edu.au/
admin-legalserv@uwa.edu.au
(+61 8) 6488 2414
For further assistance:
eResearch Unit
eresearch-is@uwa.edu.au
(+61 8) 6488 5319
72. Contacts
Questions?
Katina Toufexis
Research Data Coordinator
katina.toufexis@uwa.edu.au
6488 5319
Acknowledgment: Some slides within this presentation have been based on the ANDS presentation
“Research Data Management for Health Services Librarians” (09/07/2015intro)
Also, some slides have been based on Karen Visser’s ANDS @ UWA Data Connections presentation
(0606/2014)
http://ands.org.au/presentations/index.html
Senior Librarian for your Faculty
http://www.library.uwa.edu.au/contact/faculty-liaison-coordinators