Researcher KnowHow session presented by Judith Carr, Research Data Manager and co-ordinated by Gary Jeffers, Research Data Officer at University of Liverpool Library.
Researcher KnowHow session at the University of Liverpool from 15th March 2021 presented by Ruaraidh Hill, Angela Boland, Michelle Maden.
The session provided advice on conducting key activities in a systematic review. It can also provide a ‘top-up’ to the 3 part series of workshops about systematic reviews which ran earlier in the academic session. Suitable for postgraduates and staff planning or doing a systematic review for the first time or who wish to brush up on their knowledge.
It focuses on key steps in doing a systematic review. It offers brief practical advice, showcase tools and share top tips for progressing your review.
This document provides guidance on developing a search strategy for a systematic review. It discusses defining key concepts to search, identifying appropriate sources and search terms, using Boolean operators and limits to combine terms, and tips for conducting, recording, and reporting searches. The goal is to comprehensively and systematically identify all relevant evidence to answer the review question while minimizing bias. Developing an effective search strategy is a crucial step in the systematic review process.
Researcher KnowHow session on Anonymisation 101, based on slides and training materials by Dr Sarah Nevitt, Research Associate at the University of Liverpool with a section on Research Data Management and Anonymisation by Judith Carr, Research Data Manager and co-ordinated by Gary Jeffers, Research Data Officer at University of Liverpool Library.
Researcher KnowHow session presented by Carrol Gamble, Anna Kearney and Paula Williamson, Department of Health Data Science. University of Liverpool and Trials Methodology Research Partnership.
Researcher KnowHow session presented by Ruaraidh Hill PhD MSc FHEA Lecturer in evidence synthesis at the University of Liverpool and Angela Boland MSc PhD PGCert (LTHE)Director –Liverpool Reviews & Implementation Group
Researcher KnowHow session presented by Catherine McManamon, Liaison Librarian at the University of Liverpool Library. Supported by Clair Sharpe, Liaison Librarian.
Researcher KnowHow session presented by Michelle Maden PhD MA FHEA, Postdoc research associate in evidence synthesis, Liverpool Reviews and Implementation Group
Researcher KnowHow session at the University of Liverpool from 15th March 2021 presented by Ruaraidh Hill, Angela Boland, Michelle Maden.
The session provided advice on conducting key activities in a systematic review. It can also provide a ‘top-up’ to the 3 part series of workshops about systematic reviews which ran earlier in the academic session. Suitable for postgraduates and staff planning or doing a systematic review for the first time or who wish to brush up on their knowledge.
It focuses on key steps in doing a systematic review. It offers brief practical advice, showcase tools and share top tips for progressing your review.
This document provides guidance on developing a search strategy for a systematic review. It discusses defining key concepts to search, identifying appropriate sources and search terms, using Boolean operators and limits to combine terms, and tips for conducting, recording, and reporting searches. The goal is to comprehensively and systematically identify all relevant evidence to answer the review question while minimizing bias. Developing an effective search strategy is a crucial step in the systematic review process.
Researcher KnowHow session on Anonymisation 101, based on slides and training materials by Dr Sarah Nevitt, Research Associate at the University of Liverpool with a section on Research Data Management and Anonymisation by Judith Carr, Research Data Manager and co-ordinated by Gary Jeffers, Research Data Officer at University of Liverpool Library.
Researcher KnowHow session presented by Carrol Gamble, Anna Kearney and Paula Williamson, Department of Health Data Science. University of Liverpool and Trials Methodology Research Partnership.
Researcher KnowHow session presented by Ruaraidh Hill PhD MSc FHEA Lecturer in evidence synthesis at the University of Liverpool and Angela Boland MSc PhD PGCert (LTHE)Director –Liverpool Reviews & Implementation Group
Researcher KnowHow session presented by Catherine McManamon, Liaison Librarian at the University of Liverpool Library. Supported by Clair Sharpe, Liaison Librarian.
Researcher KnowHow session presented by Michelle Maden PhD MA FHEA, Postdoc research associate in evidence synthesis, Liverpool Reviews and Implementation Group
Researcher KnowHow session presentation by Ruaraidh Hill PhD, Institute of Population Health, University of Liverpool
Covers:
*Introduction – issues with research evidence
* Reviews – overview of systematic reviews | types of review in the evidence ecosystem
* Developing review questions
* Reviews – planning next steps
The document provides guidance on factors to consider when choosing a journal to publish research, such as the intended audience, journal submission process, funder requirements, metrics, personal experience, and customer service experience. It advises writing the article first before selecting the most suitable journal, and notes that submitting to multiple journals simultaneously is unacceptable. Tools are recommended to help identify reputable journals and avoid predatory publishers that do not provide proper peer review or indexing.
systematic reviews and what the library can do to helpIsla Kuhn
The document provides information about systematic reviews including:
- How systematic reviews differ from traditional reviews by being more comprehensive and methodical.
- The typical stages in a systematic review including developing a question, searching, screening, data extraction and synthesis.
- Potential biases that can affect systematic reviews like publication bias.
- Tools and resources available from the medical library to help with developing search strategies, managing references and data, and publishing open access reviews.
This document provides an overview of performing effective searches in databases. It discusses developing a clear research question, identifying appropriate search terms and databases, and using effective search strategies like subject headings, boolean operators, and limits. The goal is to search efficiently and retrieve high-quality results with less time and reading required. Key steps outlined are formulating the question, choosing relevant databases, developing a search strategy, performing the search, and evaluating results.
Literature reviews & literature searchesKaimrc_Rss_Jd
This document discusses conducting literature reviews and searches. It begins by defining a literature review and outlining important steps, including selecting research questions, choosing search terms, applying screening criteria, and critically appraising sources. Several databases and types of sources are identified for literature searches. Key steps in the search process involve breaking questions into concepts, identifying subject headings and synonyms, and combining searches with Boolean operators. Criteria for critically evaluating search results from journals, articles, and websites are also provided.
NIH Grant Proposals (SF 424): K08 - K23 Applications and Individual Career De...UCLA CTSI
The document provides guidance for applicants on the K08 Mentored Clinical Scientist Research Career Development Award. It outlines the requirements and components for a successful application, including intensive research experience, minimum time commitment, mentoring plans, career development activities, responsible conduct of research training, and description of the research environment and mentors. Applicants must propose a research project and career development plan that will lead to independent research careers in clinical investigation.
Describe the major available electronic resources
Describe how to build a search strategy
Describe some alternate sources for finding trials
Describe what to do once you get your search results
How to Craft the "Significance” & "Innovation" Sections of a Grant Applicatio...UCLA CTSI
William Parks, PhD
Professor of Medicine at Cedars-Sinai Medical Center and UCLA
Associate Dean for Graduate Research Education
Scientific Director, Women’s Guild Lung Institute
The document provides an overview of conducting a literature search, including how to:
- Pose a searchable question using PICO (Patient, Intervention, Comparison, Outcome) elements
- Choose appropriate study designs and search terms
- Select the best databases and search features to use
- Strategies for dealing with too many or too few search results and accessing full text articles
The goal is to guide the audience through each step of performing an organized, comprehensive literature search.
This document provides an overview of conducting a literature search. It discusses defining a searchable question with relevant patient, intervention, comparison, outcome, and study type elements. It reviews choosing appropriate search terms and identifying the best databases to search, such as PubMed, Embase, and Cochrane Library. The document also covers techniques for searching databases, including phrase versus word searching, truncation, controlled vocabularies, and limiting results. Finally, it provides tips on printing, saving, and accessing full text articles from searches.
This presentation was funded by CDC and PEPFAR through the SUCCEED project at Stellenbosch University. The presentation was delivered by Ms Lynn Hendricks from the Centre for Evidence Based Health Care in July 2017
Introduction to research data management. Presented by Natasha Simons at the C3DIS post conference workshop: Managed data – trusted research: an introduction to Research Data Management, Melbourne 31st may 2018
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.
This document provides an introduction to research data management. It discusses what constitutes research data, the importance of managing data, and factors to consider such as documentation, metadata, data sharing and archiving. It also outlines the University of Oxford's policy on research data management and available support services to assist researchers in developing data management plans and ensuring the long-term preservation and sharing of research data.
Researcher KnowHow session presentation by Ruaraidh Hill PhD, Institute of Population Health, University of Liverpool
Covers:
*Introduction – issues with research evidence
* Reviews – overview of systematic reviews | types of review in the evidence ecosystem
* Developing review questions
* Reviews – planning next steps
The document provides guidance on factors to consider when choosing a journal to publish research, such as the intended audience, journal submission process, funder requirements, metrics, personal experience, and customer service experience. It advises writing the article first before selecting the most suitable journal, and notes that submitting to multiple journals simultaneously is unacceptable. Tools are recommended to help identify reputable journals and avoid predatory publishers that do not provide proper peer review or indexing.
systematic reviews and what the library can do to helpIsla Kuhn
The document provides information about systematic reviews including:
- How systematic reviews differ from traditional reviews by being more comprehensive and methodical.
- The typical stages in a systematic review including developing a question, searching, screening, data extraction and synthesis.
- Potential biases that can affect systematic reviews like publication bias.
- Tools and resources available from the medical library to help with developing search strategies, managing references and data, and publishing open access reviews.
This document provides an overview of performing effective searches in databases. It discusses developing a clear research question, identifying appropriate search terms and databases, and using effective search strategies like subject headings, boolean operators, and limits. The goal is to search efficiently and retrieve high-quality results with less time and reading required. Key steps outlined are formulating the question, choosing relevant databases, developing a search strategy, performing the search, and evaluating results.
Literature reviews & literature searchesKaimrc_Rss_Jd
This document discusses conducting literature reviews and searches. It begins by defining a literature review and outlining important steps, including selecting research questions, choosing search terms, applying screening criteria, and critically appraising sources. Several databases and types of sources are identified for literature searches. Key steps in the search process involve breaking questions into concepts, identifying subject headings and synonyms, and combining searches with Boolean operators. Criteria for critically evaluating search results from journals, articles, and websites are also provided.
NIH Grant Proposals (SF 424): K08 - K23 Applications and Individual Career De...UCLA CTSI
The document provides guidance for applicants on the K08 Mentored Clinical Scientist Research Career Development Award. It outlines the requirements and components for a successful application, including intensive research experience, minimum time commitment, mentoring plans, career development activities, responsible conduct of research training, and description of the research environment and mentors. Applicants must propose a research project and career development plan that will lead to independent research careers in clinical investigation.
Describe the major available electronic resources
Describe how to build a search strategy
Describe some alternate sources for finding trials
Describe what to do once you get your search results
How to Craft the "Significance” & "Innovation" Sections of a Grant Applicatio...UCLA CTSI
William Parks, PhD
Professor of Medicine at Cedars-Sinai Medical Center and UCLA
Associate Dean for Graduate Research Education
Scientific Director, Women’s Guild Lung Institute
The document provides an overview of conducting a literature search, including how to:
- Pose a searchable question using PICO (Patient, Intervention, Comparison, Outcome) elements
- Choose appropriate study designs and search terms
- Select the best databases and search features to use
- Strategies for dealing with too many or too few search results and accessing full text articles
The goal is to guide the audience through each step of performing an organized, comprehensive literature search.
This document provides an overview of conducting a literature search. It discusses defining a searchable question with relevant patient, intervention, comparison, outcome, and study type elements. It reviews choosing appropriate search terms and identifying the best databases to search, such as PubMed, Embase, and Cochrane Library. The document also covers techniques for searching databases, including phrase versus word searching, truncation, controlled vocabularies, and limiting results. Finally, it provides tips on printing, saving, and accessing full text articles from searches.
This presentation was funded by CDC and PEPFAR through the SUCCEED project at Stellenbosch University. The presentation was delivered by Ms Lynn Hendricks from the Centre for Evidence Based Health Care in July 2017
Introduction to research data management. Presented by Natasha Simons at the C3DIS post conference workshop: Managed data – trusted research: an introduction to Research Data Management, Melbourne 31st may 2018
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.
This document provides an introduction to research data management. It discusses what constitutes research data, the importance of managing data, and factors to consider such as documentation, metadata, data sharing and archiving. It also outlines the University of Oxford's policy on research data management and available support services to assist researchers in developing data management plans and ensuring the long-term preservation and sharing of research data.
Paper was presented at European Survey Research Association 2013, in the session Research Data Management for Re-use: Bringing Researchers and Archivists closer.
Session presented by Judith Carr, Research Data Manager at the University of Liverpool on Research Data Management and your PhD.
Aim:- To show how research data management can contribute to the success of your PhD.
Covers:
* What is research data and why it is important?
* The Research Data lifecycle
Research Data – more than just your results
* FAIR data and Open Research
DMP online tool
Managing, Sharing and Curating Your Research Data in a Digital Environmentphilipdurbin
This document discusses research data management and curation. It describes how data sharing has increased as open science mandates have promoted data availability. Research data is now often shared alongside research articles through bi-directional linking. Self-curation repositories are being developed to help researchers publish and share their data. The benefits of open access include increased visibility, new discoveries through wider collaboration, and compliance with funder mandates. Key requirements for open data include availability, access, redistribution and reuse. Dataverse is presented as a solution for research data management that facilitates data sharing, preservation, citation, exploration and analysis. It issues persistent identifiers and supports various data formats and protocols. Challenges of data management include meaningful aggregation, privacy concerns
Aim:- To show how research data management can contribute to the success of your PhD.
*What is research data and why it is important?
*The Research Data lifecycle
* Research Data – more than just your results
* FAIR data and Open Research
* DMP online tool
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.
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.
Lecture for a course at NTNU, 27th January 2021
CC-BY 4.0 Dag Endresen https://orcid.org/0000-0002-2352-5497
See also http://bit.ly/biodiversityinformatics
https://www.gbif.no/events/2021/lecture-ntnu-gbif.html
This presentation was provided by Carly Strasser of the Chan Zuckerberg Initiative during the NISO hot topic virtual conference "Effective Data Management," which was held on September 29, 2021.
This document summarizes a webinar about managing and preserving scientific data sets. It discusses the definition of science data according to the federal government, why science data is different than other data, current trends and challenges in digital preservation for science. It outlines several levels of digital preservation and provides examples of data being preserved. The webinar discusses the benefits of data management, such as supporting open access and future funding. It also describes existing problems around data management including lack of standards, resources and staffing. Potential solutions discussed include implementing research data management plans and using existing and upcoming tools to help with various stages of the research lifecycle from data creation to long-term preservation and access.
This document provides guidance on research data management for postgraduates. It discusses why research data management is important, including ensuring long-term preservation and discoverability of data, supporting more rigorous research through record keeping, and preventing academic fraud. It also outlines the key elements to include in a research data management plan, such as data type and format, storage and security, ownership and sharing. Developing a data management plan early in the research process is recommended to facilitate data preservation and sharing.
This presentation was delivered at the Elsevier Library Connect Seminar on 6 October 2014 in Johannesburg, 7 October 2014 in Durban and 9 October 2014 in Cape Town and gives an overview of the potential role that librarians can play in research data management
This document provides information about research data management for postgraduates. It discusses why research data management is important, including ensuring long-term preservation and discoverability of data, supporting more rigorous research by allowing data verification, and enabling reuse of data. It outlines the key elements to include in a research data management plan such as the type and format of data, description standards, storage and security, responsibilities, intellectual property and data sharing. Finally, it provides some online tools that can help with creating a data management plan.
Curating the Scholarly Record: Data Management and Research LibrariesKeith Webster
The document discusses the role of research libraries in curating and managing scholarly data and the evolving scholarly record. It notes that rapid technological developments have opened up new applications for research data and increased data creation. It argues that full and open access to research data derived from publicly funded research should be adopted as an international norm. It also discusses challenges around data management, issues researchers face with eResearch, and the unclear role of academic librarians in supporting data management and curation.
Similar to Research Data Management and Reproducibility (20)
Open Research – an introduction. Presented by Judith Carr, Research Data Manager, Open Research Team, University of Liverpool Library. Session aims:
* To show how open research can involve the research lifecycle from the beginning to the end.
* To encourage you as researchers to recognise opportunities where you can be more open
Copyright protects original creative works once they are fixed in a tangible form. It does not protect ideas alone. The workshop aimed to develop understanding of what copyright is, available licenses, permitted acts for educational use, and risk management. It covered that most web content is not public domain, fair dealing is for criticism and review, and exceptions allow limited educational use without permission as long as it is non-commercial and fair. The session provided sources of information on copyright including licenses the university holds and exceptions for education.
Many of the resources you wish to use to support your teaching and research are protected by copyright. However, the good news is that there are ways in which you can legitimately use those materials without infringing copyright. This session will give an overview of the licences the university holds, as well as the permitted acts built into copyright law which allow educational establishments to benefit from a suspension of the rules which normally govern the use of copyright protected works.
Presented by Gordon Sandison, Licensing & Copyright Manager, University of Liverpool
University of Liverpool Researcher KnowHow session presented by Judith Carr.
At the end of this session you will know what the FAIR data principles are, what is required and be in a position to think how these would relate to your research practice.
The document summarizes registered reports, an alternative publication format that aims to address reproducibility issues. It discusses:
1) The standard publication process and reproducibility crisis in science due to biases like publication bias, low statistical power, p-hacking, and HARKing.
2) What registered reports are - a two-stage peer review process where the proposed methods and analyses are peer-reviewed before data collection. This removes biases driven by study outcomes.
3) Why registered reports are gaining popularity - they can increase reproducibility, computational reproducibility, and study quality while reducing biases compared to standard publications.
4) An example of an author's experience submitting a registered report to be peer-reviewed in stage
AfricArXiv - the pan-African Open Access Portal. Joy Owango, a founding member of the Board of Advisors at AfricArXiv, talked about preprints and AfricArXiv for this presentation as part of Researcher KnowHow at the University of Liverpool.
Researcher KnowHow session 1 of 3 presented by Ruaraidh Hill PhD MSc FHEA Lecturer in evidence synthesis and Michelle Maden PhD MAFHEA Postdoc research associate in evidence synthesis at the University of Liverpool on 22nd November 2021.
Presented by Martin Wolf, Head of Open Research at the University of Liverpool Library on Head of 14th June 2021.
Covers:
* What is copyright?
* How does copyright impact on your thesis?
* Practical steps to take
* Copyright and academic publishing
Researcher KnowHow session presented by Amy Lewin, Marketing and Innovation Coordinator, and Sarah Roughley Barake, Scholarly Communications Librarian at the University of Liverpool Library
Researcher KnowHow session presented by Judith Carr, Research Data Manager and Gordon Sandison, Licensing and Copyright Manager from the University of Liverpool Library on 1st December 2020.
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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.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty,
International FDP on Fundamentals of Research in Social Sciences
at Integral University, Lucknow, 06.06.2024
By Dr. Vinod Kumar Kanvaria
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...
Research Data Management and Reproducibility
1. Research Data Management and Reproducibility
Aim:- To highlight how research data management can
help with reproducibility.
Judith Carr, Research Data Manager
Co-ordinator - Gary Jeffers, Research Data Officer
Photo by Aron Visuals on Unsplash
2. Reproducibility is defined as “obtaining consistent results
using the same input data, computational steps, methods,
and code, and conditions of analysis” (National
Academies of Sciences, Engineering, and Medicine, 2019.
Reproducibility and Replicability in Science. Washington,
D.C.: The National Academies Press. https://doi.org).
Why be reproducible ? to show your results are correct and enable
others to make use of your methods
Reproducibility is a core principle of scientific progress.
Scientific claims should not gain credence because of the
status or authority of their originator but by the replicability
of their supporting evidence." - Open Science
Collaboration
Replicability means obtaining consistent results
across studies aimed at answering the same
scientific question using different data
3. “an explicit process covering the
creation and stewardship of research
materials to enable their use for as long
as they retain value.”
Research data are
Research data management is
Any recorded information necessary to
support or validate a research project’s
observations, findings or outputs,
regardless of format
What is Research Data????
4. Research Data isn’t just
• Your results
• Your figures
• Your conclusions
Research Data is much more!
What
When
Where
Who
How
Which
Why
5. To Illustrate
Metadata and sharing Covid-19 research
Schriml, L.M., Chuvochina, M., Davies, N. et al. COVID-19
pandemic reveals the peril of ignoring metadata standards. Sci
Data 7, 188 (2020). https://doi.org/10.1038/s41597-020-0524-5
Prof Bill Greenhalf UoL video https://www.liverpool.ac.uk/library/research-data-
management/reproducibility-and-ukrn/
https://youtu.be/FpCrY7x5nEE
6. cea + from The Netherlands [CC BY 2.0]
• Don’t drown in data/information
• Don’t rely on your memory
• Avoids repetitive reading, testing, analysing
• Helps you find your data/information
• Helps you to explain what you have done
• Helps when collaborating – ask management questions
first
• Versioning, shows progress, thought process,
development
• No one size fits all
Planning
7. Photo by Derick McKinney on Unsplash
Not the most exciting part of research!
• For some might be as simple as filing, learning
data descriptions or metadata vocabulary
• It might mean a lot of conversations about
what, how and where data is collected
• If you start out with a plan, then you avoid
delays further down the line. Plan to share as
well
www.Liverpool.ac.uk/rdm
8. Planning can also include how you are going to
share and make data open?
Planning to share is an ingredient to
making your research reproducible.
https://www.youtube.com/watch?v=N2zK3sAtr-
4&ab_channel=NYUHealthSciencesLibrary
10. FINDABLE:-
Easy to find by both humans and computer systems – persistent
identifier, metadata in registered or searchable resource, metadata
must include the persistent identifier, minimum standards of ‘rich’
metadata.
ACCESSIBLE:- Data stored for long term so can be accessed and or downloaded,
with appropriate licence. Even if data not available metadata
should be. Free and universally implementable
INTEROPERABLE:-
Ready to be combined with other datasets by humans as well as
computer systems. Data and metadata use a formal, accessible, shared
and broadly applicable language for knowledge representation
REUSABLE:-
Clear and accessible data usage licence,
detailed provenance and domain relevant
community standards.
https://www.go-fair.org/fair-principles/ file:///C:/Users/carrjc/Desktop/open%20research%20webpage%202020/workshop/Parthenos%20IPERI
ON%20E-RIHS%20Workshop%20Crete%20FAIR%20Principles.pdf
11. To conclude
PLAN from the beginning, be flexible but note down changes and
why. Plan to share, think about what you would need to know if
you wanted to use your own research data in years to come
DMP online use this resource, use funder templates, ask
questions of your collaborators at the beginning
Metadata ask those questions, who, what, where, why, when,
which – have readme files and protocols, whatever helps
FAIR might not mean open but consider openness and
transparency within team and with collaborators.