Presentation by Rebecca Lawrence on F1000's initiatives for publishing with data given at the Now and Future of Data Publishing Symposium, 22 May 2013, Oxford, UK
The challenge of sharing data well, how publishers can helpVarsha Khodiyar
Researchers, academic institutes and funders are increasingly recognizing the importance of data sharing for reproducible science. However, it is not always straightforward and clear to researchers as to how best to share data in a useful way. At Springer Nature we are working on several initiatives to help facilitate the sharing of research data in a reusable way, with our overarching goal being to publish research that is robust and reproducible. I will talk about the effort that goes into our flagship data journal, Scientific Data, to facilitate best practices in publication and sharing of research data, and share some of our experiences publishing Challenge datasets. I will also describe some of the newer Research Data Services that are now available to help all researchers (not only Springer Nature authors) to share their data in a useful way.
Data Publishing and Institutional RepositoriesVarsha Khodiyar
Slides presented at the Force16 panel discussion on 18th April 2016 "Libraries united in opening new scholarly platforms" https://www.force11.org/meetings/force2016/program/agenda/concurrent-session-libraries-united-opening-new-scholarly
Presentation to IASSIST 2013, in the session Expanding Scholarship: Research Journals and Data Linkages. Describes PREPARDE workshop on repository accreditation for data publication and invites comments on guidelines.
OpenAIRE-COAR conference 2014: Allowing research data to shine: providing tan...OpenAIRE
Presentation at the OpenAIRE-COAR Conference: "Open Access Movement to Reality: Putting the Pieces Together", Athens - May 21-22, 2014.
Session 2: Research data in the institutional context and beyond.
Allowing research data to shine: providing tangible credit for data sharing, by Varsha Khodiyar - Editorial Biocurator at F1000Research
The challenge of sharing data well, how publishers can helpVarsha Khodiyar
Researchers, academic institutes and funders are increasingly recognizing the importance of data sharing for reproducible science. However, it is not always straightforward and clear to researchers as to how best to share data in a useful way. At Springer Nature we are working on several initiatives to help facilitate the sharing of research data in a reusable way, with our overarching goal being to publish research that is robust and reproducible. I will talk about the effort that goes into our flagship data journal, Scientific Data, to facilitate best practices in publication and sharing of research data, and share some of our experiences publishing Challenge datasets. I will also describe some of the newer Research Data Services that are now available to help all researchers (not only Springer Nature authors) to share their data in a useful way.
Data Publishing and Institutional RepositoriesVarsha Khodiyar
Slides presented at the Force16 panel discussion on 18th April 2016 "Libraries united in opening new scholarly platforms" https://www.force11.org/meetings/force2016/program/agenda/concurrent-session-libraries-united-opening-new-scholarly
Presentation to IASSIST 2013, in the session Expanding Scholarship: Research Journals and Data Linkages. Describes PREPARDE workshop on repository accreditation for data publication and invites comments on guidelines.
OpenAIRE-COAR conference 2014: Allowing research data to shine: providing tan...OpenAIRE
Presentation at the OpenAIRE-COAR Conference: "Open Access Movement to Reality: Putting the Pieces Together", Athens - May 21-22, 2014.
Session 2: Research data in the institutional context and beyond.
Allowing research data to shine: providing tangible credit for data sharing, by Varsha Khodiyar - Editorial Biocurator at F1000Research
Data discovery and metadata - Natasha Simons
Research Data Management workshop at the iSchools Data Science Winter Institute, 7-9 December 2017, University of Hong Kong
DataShare - Pauline Ward to University of Edinburgh School of Chemistry - 3 f...University of Edinburgh
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Many students spend enormous amounts of their time engaged with their computers, accepting of course that mobile devices are simply computers of a different form factor. Engaged with the social networks, utilizing computer platforms to source and share content of various forms, their contributions of “data” into what is the cloud, and in many cases a void, is enormous. What community and career benefit might result from those students spending some of their time contributing chemistry related data to the world? What challenges lie in the way of their participation and how might participating have a positive, or negative impact on their future career. The Royal Society of Chemistry hosts a number of chemistry data platforms to which students can actively contribute and for which their participation can be measured. Moreover the RSC’s micropublishing platform allows chemists to learn how to write up their scientific work, obtain review from their peers and chemistry professors in a non-threatening environment and produce an online published work in less than day that is both citable and available as a shared resource for the community. This presentation will demonstrate how to participate and encourage engagement from students early in their education. There are no longer any technology barriers to the sharing of the majority of chemistry related data.
This is the PowerPoint for my "Data Management for Undergraduate Researchers" workshop for the Office of Undergraduate Research Seminar and Workshop Series. Major topics include motivations behind good data management, file naming, version control, metadata, storage, and archiving.
This webinar is part of the activities related to the Pathway Open Access : Repositories and Publishers, and organized by the CIARD Community.
*About the webinar*
The Open Science journal F1000Research was launched in 2012 in order to address many of the shortcomings of conventional life science publishing, particularly those that exacerbate publication bias, publishing inefficiencies and irreproducibility of findings.
Open Science goes beyond Open Access in making every element of the scientific process free to use, reuse and redistribute. This includes ensuring the availability of raw data, software and referee reports, which are often at least as important as the article with which they are associated.
This webinar will provide an overview of F1000Research's approach to Open Science publishing and highlight other unique aspects of the journal's model including post-publication peer review, article versioning and non-traditional article types.
*Presented by Thomas Ingraham*
Thomas Ingraham is Development Editor at F1000Research and has been involved with the journal's Open Science and editorial development since its inception.
Federal Funding Agency's Public Access Policies and YouMargaret Janz
Slides used for an information session about agency responses to the Feb. 22, 2013 OSTP Memo. Session was held May 7, 2015 in the Science & Engineering Library a Temple University and presented by Margaret Janz.
Focus was on NSF, NASA, and NIH response documents based on the interests of the attendees who made those indications when they RSVP'd to the event.
Notes added 5/13/15.
Open Access Repositories & Scholarly PublicationGaz Johnson
Briefing talk given to academic staff at the Birkbeck College, University of London May 2006 on open access and repositories. Part of a series of briefings for their academics
Presentation given at Open Science question and answer session hosted by the Institute for Quantitative Social Science (IQSS), and the Office for Scholarly Communication (OSC) at Harvard University, on July 16th 2014.
This material was presented in front of grad students of Institut Teknologi Bandung and journal managers to open their perspective to this new approach of scholarly publishing. I borrowed the materials from F1000research website containing their standard publication slides.
OSFair2017 Training | Increasing Research Transparency using the Open Science...Open Science Fair
Jennifer Freeman Smith talks about increasing research transparency using the Open Science Framework | OSFair2017 Workshop
Workshop title: Increasing Research Transparency using the Open Science Framework
Workshop overview:
Part of the challenge with making research more open and transparent is purely logistical. Where and how can the research be stored, organized, and shared most effectively when there are so many different tools, processes and policies in place? The OSF provides an open source, structured environment where researchers from all over the world, using their own tools and processes, can collaborate openly, transparently, and effectively.
DAY 3 PARALLEL SESSION 8
Data discovery and metadata - Natasha Simons
Research Data Management workshop at the iSchools Data Science Winter Institute, 7-9 December 2017, University of Hong Kong
DataShare - Pauline Ward to University of Edinburgh School of Chemistry - 3 f...University of Edinburgh
Talk targeted at researchers at the University of Edinburgh, explaining how they can use DataShare to publish their research results, and some of the benefits of doing so.
Many students spend enormous amounts of their time engaged with their computers, accepting of course that mobile devices are simply computers of a different form factor. Engaged with the social networks, utilizing computer platforms to source and share content of various forms, their contributions of “data” into what is the cloud, and in many cases a void, is enormous. What community and career benefit might result from those students spending some of their time contributing chemistry related data to the world? What challenges lie in the way of their participation and how might participating have a positive, or negative impact on their future career. The Royal Society of Chemistry hosts a number of chemistry data platforms to which students can actively contribute and for which their participation can be measured. Moreover the RSC’s micropublishing platform allows chemists to learn how to write up their scientific work, obtain review from their peers and chemistry professors in a non-threatening environment and produce an online published work in less than day that is both citable and available as a shared resource for the community. This presentation will demonstrate how to participate and encourage engagement from students early in their education. There are no longer any technology barriers to the sharing of the majority of chemistry related data.
This is the PowerPoint for my "Data Management for Undergraduate Researchers" workshop for the Office of Undergraduate Research Seminar and Workshop Series. Major topics include motivations behind good data management, file naming, version control, metadata, storage, and archiving.
This webinar is part of the activities related to the Pathway Open Access : Repositories and Publishers, and organized by the CIARD Community.
*About the webinar*
The Open Science journal F1000Research was launched in 2012 in order to address many of the shortcomings of conventional life science publishing, particularly those that exacerbate publication bias, publishing inefficiencies and irreproducibility of findings.
Open Science goes beyond Open Access in making every element of the scientific process free to use, reuse and redistribute. This includes ensuring the availability of raw data, software and referee reports, which are often at least as important as the article with which they are associated.
This webinar will provide an overview of F1000Research's approach to Open Science publishing and highlight other unique aspects of the journal's model including post-publication peer review, article versioning and non-traditional article types.
*Presented by Thomas Ingraham*
Thomas Ingraham is Development Editor at F1000Research and has been involved with the journal's Open Science and editorial development since its inception.
Federal Funding Agency's Public Access Policies and YouMargaret Janz
Slides used for an information session about agency responses to the Feb. 22, 2013 OSTP Memo. Session was held May 7, 2015 in the Science & Engineering Library a Temple University and presented by Margaret Janz.
Focus was on NSF, NASA, and NIH response documents based on the interests of the attendees who made those indications when they RSVP'd to the event.
Notes added 5/13/15.
Open Access Repositories & Scholarly PublicationGaz Johnson
Briefing talk given to academic staff at the Birkbeck College, University of London May 2006 on open access and repositories. Part of a series of briefings for their academics
Presentation given at Open Science question and answer session hosted by the Institute for Quantitative Social Science (IQSS), and the Office for Scholarly Communication (OSC) at Harvard University, on July 16th 2014.
This material was presented in front of grad students of Institut Teknologi Bandung and journal managers to open their perspective to this new approach of scholarly publishing. I borrowed the materials from F1000research website containing their standard publication slides.
OSFair2017 Training | Increasing Research Transparency using the Open Science...Open Science Fair
Jennifer Freeman Smith talks about increasing research transparency using the Open Science Framework | OSFair2017 Workshop
Workshop title: Increasing Research Transparency using the Open Science Framework
Workshop overview:
Part of the challenge with making research more open and transparent is purely logistical. Where and how can the research be stored, organized, and shared most effectively when there are so many different tools, processes and policies in place? The OSF provides an open source, structured environment where researchers from all over the world, using their own tools and processes, can collaborate openly, transparently, and effectively.
DAY 3 PARALLEL SESSION 8
Are you interesting in offering data management services at your library but aren’t sure where to start? Then this class is for you! During this session, we will
• Outline the data management topics that are commonly offered in libraries
• Present strategies for how to determine what services might be most useful on your campus and create synergistic partnerships with other university entities
• Dive into how to offer support with data management plans
• Present a case study for using an institutional repository to archive and share research data
• Identify additional training opportunities and open educational resources you can use to develop robust DM services
The class will consist of a mix of presentations, hands on activities, and discussion. So come ready to participate!
How can we ensure research data is re-usable? The role of Publishers in Resea...LEARN Project
How can we ensure research data is re-usable? The role of Publishers in Research Data Management, by Catriona MacCallum. 2nd LEARN Workshop, Vienna, 6th April 2016
It is about:
Introduction: What Is “Research Data”? and Data Lifecycle
Part 1:
Why Manage Your Data?
Formatting and organizing the data
Storage and Security of Data
Data documentation and meta data
Quality Control
Version controlling
Working with sensitive data
Controlled Vocabulary
Centralized Data Management
Part 2:
Data sharing
What are publishers & funders saying about data sharing?
Researchers’ Attitudes
Benefits of data sharing
Considerations before data sharing
Methods of Data Sharing
Shared Data Uses and Its’ Limitations
Data management plans
Brief summary
Acknowledgment , References
Presentation at the “Open Science: connecting the actors” event on the 21st of November 2022:
Share best practices, foster community, and encourage knowledge-sharing on Open Science.
At the heart of the Open Access Belgium community is the ambition to open up the way we organize and conduct scientific research.
The Open Science teams of the Belgian universities have developed and tested a wide range of training methods, training materials, networking activities
and data solutions to facilitate and foster Open Science. Achievements, tools and lessons learned by different institutions will be shared in this networking event.
Programme can be found here: https://openaccess.be/2022/10/04/open-science-connecting-the-actors/
Improving Integrity, Transparency, and Reproducibility Through Connection of ...Andrew Sallans
The Center for Open Science (COS) was founded as a non-profit technology start-up in 2013 with the goal of improving transparency and reproducibility by connecting the scholarly workflow. COS achieves this goal through the development of a free, open source web application called the Open Science Framework (OSF), providing features like file sharing and citing, persistent urls, provenance tracking, and automated versioning. Initial workflow API connections focused on storage services and included Figshare, GitHub, Amazon S3, Dropbox, and Dataverse. The team is now working to connect other parts of the workflow with services like DMPTool, Databib/re3data, and Databrary. This session will introduce the core architecture and the problems that it solves, and illustrate how connecting services can benefit everyone involved in supporting the research ecosystem. COS is funded through the generosity of grants from the Laura and John Arnold Foundation, the John Templeton Foundation, the Alfred P. Sloan Foundation, the Association of Research Libraries, and others.
Presented at CNI Fall 2014, Washington, DC.
These are the slides on the Introduction to quantitative research course presented to the MBE (Master of Bioethics) students at Prince Sattam bin Abdulaziz University. It is focused on bioethics and in particular writing research rather than doing research. Please note that the sources of the slides are added as a link at the bottom of the slide itself.
A 2-day workshop on how to publish your research. It includes a full and detailed explanation of the publication process and many technical details needed by the health researcher to publish his/her research.
It was delivered to the staff of the Northern Area Armed Forces Hospital in Hafr Albaten City, Saudi Arabia (13-14 Nov. 2019)
A presentation on FAIR, FAIRsharing and the FAIR ecosystem for the ENVRI-FAIR community on the 13th December 2019. This presentation covers the basics of what FAIR is, how FAIRsharing can help 'FAIRify' standards, repositories, knowledgebases and data policies, and then the connections FAIRsharing has with other initiatives, such as the FAIR Evaluator, Data Stewardship Wizard, our RDA WG, GO-FAIR and EOSC-Life.
Research Transparency in the Social Sciences: DA-RTARDC
Transparency Protects the Legitimacy of Research
Transparency and Openness Promotion (TOP) Guidelines for Journals
What are we afraid of?
What can be gained?
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Lawrence-f1000-publishing with data-nfdp13
1. F1000RESEARCH – NEW APPROACHES TO
PUBLISHING WITH DATA
Rebecca Lawrence, PhD
Managing Director
rebecca.lawrence@f1000.com
http://f1000research.com
@f1000research
4. TRADITIONAL PEER REVIEW: WHAT‟S WRONG?
Standard closed pre-publication peer review is problematic:
• Extensive delays in publication.
• Conceals referee bias.
• Conceals editorial bias.
• Repeated refereeing of work for different journals.
• Time wasted by authors restructuring manuscripts for different journals.
5. F1000RESEARCH : HOW IS IT DIFFERENT?
We are calling our approach “Open Science” Publishing. This means:
1. No delay.
2. Post-publication peer review.
3. Open refereeing.
4. Inclusion of all data.
5. No restriction of access.
6. • Papers can have three possible statuses:
Approved (= approved or minor revisions)
Approved with Reservations (= major
revisions)
Not Approved (= not scientifically sound)
• All referee reports are open and signed.
• Focus on scientific soundness, not novelty.
OPEN REFEREE REPORTS
9. PUBLICATION OF ALL DATA
Datasets are rarely published alongside traditional articles
Some journals (e.g. J Neurosci) actively discourage publication of data
Without data publication:
• Reader must take it on faith that data were collected and analysed
correctly
• Often difficult to get data from authors, limiting use and reuse
• Replication almost impossible
And even with publication:
• Data often unusable. In supplementary files, in obscure formats and
poorly structured.
• Licences often limit computational mining and reuse.
F1000Research: Data submission is mandatory
(not just data articles but also standard research articles)
10. F1000RESEARCH: DATA PRE-PUBLICATION CHECKS
First question: are there any subject-specific repositories the data should be
placed into?
• Ongoing questions on repository accreditation
• Need to improve cross-linking
• Working with JISC, MRC and British Library on data review
recommendations
1. Connecting data review with data management planning.
2. Connecting scientific, technical review and curation.
3. Connecting data review with article review.
Recommendations at: http://bit.ly/DataPRforComment
Feedback to: https://www.jiscmail.ac.uk/DATA-PUBLICATION
11. F1000RESEARCH: DATA HOSTING
If no existing repository, we work with figshare:
• Data viewable without leaving the article
• Viewers found for data files
• Users can preview large datasets before
deciding whether to download
• Usage information provided
• Datasets get legends and DOIs
Additional checks for these data include:
• Are the formats appropriate?
• Is the layout understandable? Is labelling
clear?
• Do we have adequate data?
• Do we have adequate protocol information
about how the data was generated?
12. F1000RESEARCH: DATA PEER REVIEW
Referees are asked to check:
• Is the method used appropriate for the scientific question being asked?
• Has enough information been provided to be able to replicate the experiment?
• Are the data in a useable format/structure?
• Are stated data limitations and possible sources of error appropriately described?
• Does the data „look‟ OK (optional; e.g. microarray data)?
The ultimate referee: Reuse!
13. DATA PUBLICATION: KEY CHALLENGES
• Encouraging the accreditation of repositories.
• Developing stronger links between repositories and journals, in both directions:
workflows and review outputs.
• Stronger „carrots‟ for data sharing, such as mandatory data release on
publication.
• Development of better credit systems for the sharing, curation and publication of
data.
• Developing better ways to capture protocol information for reproducibility and
reuse.
Thank you!
rebecca.lawrence@f1000.com
@f1000research