Open science framework – Jeff Spies, Centre for Open Science
Active research from lab to publication – Simon Coles, University of Southampton
Managing active research in the university – Robin Rice, University of Edinburgh
Making research available: FAIR principles and Force 11 - David De Roure, Oxford e-Research Centre
Jisc and CNI conference, 6 July 2016
UK and US positions on open access – Steven Hill, HEFCE and Sarah Thomas, Harvard University
University of California and university digital library costing models – MacKenzie Smith, UC Davis
Total cost of ownership and flipped OA – Liam Earney, Jisc
Jisc and CNI conference, 6 July 2016
Strand 1: Connecting research and researchers: An introduction to ORCID by Ed...OAbooks
ORCID is an open, non-profit organization that provides a registry of unique researcher identifiers and aims to link researchers to their professional activities such as publications, datasets, and more. The presentation discusses the problems ORCID aims to address like linking researchers across databases and improving discoverability. It outlines ORCID's mission, benefits to the research community, how the ORCID registry works, privacy considerations, integration opportunities, growth since launch, international usage, members, support available, and how to join ORCID.
Why science needs open data – Jisc and CNI conference 10 July 2014Jisc
This document discusses the importance of open data in science. It provides 4 key reasons why open data is important:
1) It allows for identification of patterns in large datasets that could not be found otherwise.
2) It enables data modeling through iterative integration of initial models with observational data.
3) It facilitates deeper integration and analysis of diverse linked datasets.
4) It supports exploitation of networked sensor data through acquisition, integration, analysis and feedback.
However, open data needs to be "intelligently open" through being discoverable, accessible, intelligible, assessable and reusable to realize its full potential. Mandating such intelligent open data is important to drive an open data infrastructure ecology.
Incentives for sharing research data – Veerle Van den Eynden, UK Data Service
Incentives to innovate – Joe Marshall, NCUB
Incentives in university collaboration - Tim Lance, NYSERNET
Giving researchers credit for their data – Neil Jefferies, The Bodleian Digital Library Systems and Services (BDLSS)
Jisc and CNI conference, 6 July 2016
UK Research Data Management: overview to ADBU congress, 19 Sep 2013 by Laura ...L Molloy
Research data management in the UK: interventions by the Jisc Managing Research Data programme and the Digital Curation Centre. Specifies the importance of academic librarians for RDM. Includes links to openly available training resources. Presentation by L Molloy to ABDU congress, 19 Sep 2013 in Le Havre.
Infrastructure requirements for open scholarship – Jisc and CNI conference 10...Jisc
1. The document discusses the infrastructure requirements for open scholarship and open access. It outlines various stakeholders and events in the research process like authorship, publishing, and accessing published works.
2. It also maps the various systems, standards, and services needed to support open scholarship like repositories, identifiers, licenses, and usage statistics. Ensuring the sustainability of critical infrastructure services is an ongoing challenge given differences between regional and national organizations.
3. Coordination between services may help address sustainability by consolidating functionality and presenting funders with coordinated offers based on common use cases.
UK and US positions on open access – Steven Hill, HEFCE and Sarah Thomas, Harvard University
University of California and university digital library costing models – MacKenzie Smith, UC Davis
Total cost of ownership and flipped OA – Liam Earney, Jisc
Jisc and CNI conference, 6 July 2016
Strand 1: Connecting research and researchers: An introduction to ORCID by Ed...OAbooks
ORCID is an open, non-profit organization that provides a registry of unique researcher identifiers and aims to link researchers to their professional activities such as publications, datasets, and more. The presentation discusses the problems ORCID aims to address like linking researchers across databases and improving discoverability. It outlines ORCID's mission, benefits to the research community, how the ORCID registry works, privacy considerations, integration opportunities, growth since launch, international usage, members, support available, and how to join ORCID.
Why science needs open data – Jisc and CNI conference 10 July 2014Jisc
This document discusses the importance of open data in science. It provides 4 key reasons why open data is important:
1) It allows for identification of patterns in large datasets that could not be found otherwise.
2) It enables data modeling through iterative integration of initial models with observational data.
3) It facilitates deeper integration and analysis of diverse linked datasets.
4) It supports exploitation of networked sensor data through acquisition, integration, analysis and feedback.
However, open data needs to be "intelligently open" through being discoverable, accessible, intelligible, assessable and reusable to realize its full potential. Mandating such intelligent open data is important to drive an open data infrastructure ecology.
Incentives for sharing research data – Veerle Van den Eynden, UK Data Service
Incentives to innovate – Joe Marshall, NCUB
Incentives in university collaboration - Tim Lance, NYSERNET
Giving researchers credit for their data – Neil Jefferies, The Bodleian Digital Library Systems and Services (BDLSS)
Jisc and CNI conference, 6 July 2016
UK Research Data Management: overview to ADBU congress, 19 Sep 2013 by Laura ...L Molloy
Research data management in the UK: interventions by the Jisc Managing Research Data programme and the Digital Curation Centre. Specifies the importance of academic librarians for RDM. Includes links to openly available training resources. Presentation by L Molloy to ABDU congress, 19 Sep 2013 in Le Havre.
Infrastructure requirements for open scholarship – Jisc and CNI conference 10...Jisc
1. The document discusses the infrastructure requirements for open scholarship and open access. It outlines various stakeholders and events in the research process like authorship, publishing, and accessing published works.
2. It also maps the various systems, standards, and services needed to support open scholarship like repositories, identifiers, licenses, and usage statistics. Ensuring the sustainability of critical infrastructure services is an ongoing challenge given differences between regional and national organizations.
3. Coordination between services may help address sustainability by consolidating functionality and presenting funders with coordinated offers based on common use cases.
EC Open Access Co-ordination workshop - 4th May 2011Jisc
This document discusses open scholarship and the value of open access to scholarly works. It notes that opening up the scholarly record through open access, open bibliography, open citation, and open data can help researchers. It discusses ensuring quality in open scholarship through peer review, citations, and other measures. The document also highlights studies that demonstrate the cost-benefits of open access. Finally, it discusses how open scholarship can help power the knowledge economy and support areas like health care and science policy.
Why does research data matter to librariesJisc RDM
- Research data matters to libraries because it is increasingly being produced and collected by researchers, and there are growing requirements to manage and preserve it.
- A survey found that while most researchers currently manage their own data, there is a trend toward using institutional repositories and libraries more for long-term preservation.
- Libraries are well-suited to help with research data management because of their experience organizing and describing information over long periods of time, but there are also challenges due to differences across disciplines in how data is defined and treated.
- As funders and journals require better data sharing practices, libraries have an opportunity to take a more active role in helping researchers and institutions capture, describe, and manage research data over
This document summarizes a workshop on authority files. It discusses how authority files can transform from library silos to a web of linked data by uniquely identifying entities like people, publications, organizations, and connecting them using identifiers. Four use cases are presented: developing a repository authority file, enhancing a journal authority file to track open access evolution, integrating existing authority files to make cultural data web compliant, and using authority files to enable new analyses and business intelligence from research information systems. The benefits of authority files for discovery, reliability, accountability, and efficiency are outlined. An example of crosswalking different authority files is also provided. The document concludes with an opinion poll on authority file topics.
This document summarizes research on incentives for researchers to share their data. It discusses findings from qualitative interviews and quantitative surveys. Key findings include:
- Individual researchers are motivated by benefits to their own research, career, and discipline's norms. They are influenced by funder and journal policies.
- Institutional supports like data infrastructure, funding, and training also influence researchers' data sharing practices. Funder requirements and assistance with data management increase sharing.
- Studies found the main individual motivations are career benefits and research impact. The main institutional factors are skills training, support services, and policies that ensure proper data reuse and acknowledgement.
Grampian safe haven, research data networkJisc RDM
Safe havens" should be developed as an environment for population-based research where the risk of identifying individuals is minimized. Researchers in safe havens are bound by strict confidentiality codes preventing disclosure of personally identifying information and providing sanctions for breaches of confidentiality.
The document summarizes the African Open Science Platform (AOSP), an initiative to create an open digital ecosystem in Africa. It discusses AOSP's goals of building capacities, policies, shared computing resources, and tools to support open science and interaction with societal stakeholders. It also outlines AOSP's governance structure, initial activities, key supporting communities, the current African open science landscape, and a framework for future policy, infrastructure, capacity building, and incentives to further open science on the continent.
Overview of open access progress globallyIryna Kuchma
This document discusses open access and recent global progress. It notes that over 35% of scholarly articles now involve international collaboration, and science is increasingly interdisciplinary. Open access provides free online access to scholarly outputs and the right to reuse those outputs. Many benefits of open access are discussed, including increased visibility, usage and impact of research. Over 800 scholarly societies now support open access. Recent years have seen open access policies and laws implemented in several countries. Universities also benefit from open access through increased research profiling and management of outputs. Recommendations include setting open access as the default and developing supportive open access policies for universities, funders, and governments.
Rupert Gatti discusses opportunities and challenges of open access publishing of monographs. Key opportunities include broader readership through online access, enabling reader interaction on publications, incorporating multimedia elements, and relating research to primary sources. Challenges include sustainable business models and integrating open access publications into library systems and collections. Alternative funding sources discussed include institutional support, research grants, library sales, and crowdsourcing.
Open Access Initiatives on a Regional and Global Scale: EIFL, OASPA, COAR and...Iryna Kuchma
The presentation covers EIFL's open access programme, Confederation of Open Access Repositories (COAR), Networked Digital Library of Theses and Dissertations (NDLTD) and Open Access Publishers Association (OASPA).
Workshop at Oxford on publishing for early career researchers - April 2011Jisc
This document discusses open publishing and what it offers researchers. It defines open as referring to permissions, cost, time, and access to papers, monographs, theses, and data. Researchers are encouraged to make their work openly accessible by putting papers in institutional repositories, publishing in open access journals, and negotiating rights with publishers. Open publishing can provide benefits like increased citations, savings and economic benefits, but does face challenges in funding models and getting researchers to participate. The document provides guidance on making theses, papers, monographs, and data open through various options and platforms.
RDM and data sharing landscape: overview for Salford DCC training 20140522L Molloy
Research data management and data sharing: a brief overview of where we are in the UK right now and some main drivers and benefits. Prepared for Salford university Digital Curation Centre training session, 22 May 2014. Contains material from across DCC resources.
This document summarizes a presentation about open data and science in Africa. It discusses the benefits of open data, such as enabling more informed decisions and driving development. It also addresses challenges like researchers' fears of having errors or incomplete data exposed. The presentation promotes the African Open Science Platform, which aims to establish open data policies and build capacity through workshops on data skills. The platform connects stakeholders to advance open data and science across Africa.
Opening up data – Jisc and CNI conference 10 July 2014Jisc
The document discusses research data management and open data. It notes that Creative Commons tools can be used to make data openly available, and have been successfully implemented in various disciplines. It also discusses requirements and guidelines from funders like NIH and NSF to share data. Trends in data sharing policies from journals in different fields over time are shown. Challenges to sharing research data are presented. The development of infrastructure to support open data is discussed.
FOURTH CODESRIA CONFERENCE ON ELECTRONIC PUBLISHING AND DISSEMINATION: The Open Access Movement and the Future of Africa’s Knowledge Economy, March 31, 2016, Dakar, Senegal
Certifying and Securing a Trusted Environment for Health Informatics Research...Jisc
The document discusses the certification and securing of a trusted environment for health informatics research data at the University of Dundee. It provides an overview of the Health Informatics Centre, its research data management platform, safe haven architecture, and ISO27001 certification. The platform standardizes data extraction and release, adds metadata and quality checks. A safe haven uses pseudonymized data and virtual environments prevent data from leaving. ISO27001 certification provides governance and reduces documentation through standardized information security practices.
The webinar presentation summarizes the LEARN Toolkit project which developed best practices for research data management. It includes 23 case studies organized into 8 sections covering topics like policies, advocacy, costs, roles and responsibilities. The project produced a model research data management policy and guidance document to help institutions develop their own policies. It engaged stakeholders through workshops around Europe and Latin America to align policies and terminology. The materials from the project, including the model policy, are published in the LEARN Toolkit which aims to support research organizations in improving their research data management.
Digital scholarship and identifiers - Geoffrey Bilder, CrossReff
Share update – Elliott Shore, Association of Research Libraries
Jisc Monitor update – Neil Jacobs, Jisc
Infrastructure and services to track research activity – Daniel Hook, Digital Science
Jisc and CNI conference, 6 July 2016
Data sharing and analytics in research and learningJisc
Learning analytics: progress and solutions - Niall Sclater and Michael Webb, both Jisc
Reading analytics - Clifford Lynch, CNI
Sharing data safely and it's re-use for analytics – David Fergusson, Francis Crick
Jisc and CNI conference, 6 July 2016
EC Open Access Co-ordination workshop - 4th May 2011Jisc
This document discusses open scholarship and the value of open access to scholarly works. It notes that opening up the scholarly record through open access, open bibliography, open citation, and open data can help researchers. It discusses ensuring quality in open scholarship through peer review, citations, and other measures. The document also highlights studies that demonstrate the cost-benefits of open access. Finally, it discusses how open scholarship can help power the knowledge economy and support areas like health care and science policy.
Why does research data matter to librariesJisc RDM
- Research data matters to libraries because it is increasingly being produced and collected by researchers, and there are growing requirements to manage and preserve it.
- A survey found that while most researchers currently manage their own data, there is a trend toward using institutional repositories and libraries more for long-term preservation.
- Libraries are well-suited to help with research data management because of their experience organizing and describing information over long periods of time, but there are also challenges due to differences across disciplines in how data is defined and treated.
- As funders and journals require better data sharing practices, libraries have an opportunity to take a more active role in helping researchers and institutions capture, describe, and manage research data over
This document summarizes a workshop on authority files. It discusses how authority files can transform from library silos to a web of linked data by uniquely identifying entities like people, publications, organizations, and connecting them using identifiers. Four use cases are presented: developing a repository authority file, enhancing a journal authority file to track open access evolution, integrating existing authority files to make cultural data web compliant, and using authority files to enable new analyses and business intelligence from research information systems. The benefits of authority files for discovery, reliability, accountability, and efficiency are outlined. An example of crosswalking different authority files is also provided. The document concludes with an opinion poll on authority file topics.
This document summarizes research on incentives for researchers to share their data. It discusses findings from qualitative interviews and quantitative surveys. Key findings include:
- Individual researchers are motivated by benefits to their own research, career, and discipline's norms. They are influenced by funder and journal policies.
- Institutional supports like data infrastructure, funding, and training also influence researchers' data sharing practices. Funder requirements and assistance with data management increase sharing.
- Studies found the main individual motivations are career benefits and research impact. The main institutional factors are skills training, support services, and policies that ensure proper data reuse and acknowledgement.
Grampian safe haven, research data networkJisc RDM
Safe havens" should be developed as an environment for population-based research where the risk of identifying individuals is minimized. Researchers in safe havens are bound by strict confidentiality codes preventing disclosure of personally identifying information and providing sanctions for breaches of confidentiality.
The document summarizes the African Open Science Platform (AOSP), an initiative to create an open digital ecosystem in Africa. It discusses AOSP's goals of building capacities, policies, shared computing resources, and tools to support open science and interaction with societal stakeholders. It also outlines AOSP's governance structure, initial activities, key supporting communities, the current African open science landscape, and a framework for future policy, infrastructure, capacity building, and incentives to further open science on the continent.
Overview of open access progress globallyIryna Kuchma
This document discusses open access and recent global progress. It notes that over 35% of scholarly articles now involve international collaboration, and science is increasingly interdisciplinary. Open access provides free online access to scholarly outputs and the right to reuse those outputs. Many benefits of open access are discussed, including increased visibility, usage and impact of research. Over 800 scholarly societies now support open access. Recent years have seen open access policies and laws implemented in several countries. Universities also benefit from open access through increased research profiling and management of outputs. Recommendations include setting open access as the default and developing supportive open access policies for universities, funders, and governments.
Rupert Gatti discusses opportunities and challenges of open access publishing of monographs. Key opportunities include broader readership through online access, enabling reader interaction on publications, incorporating multimedia elements, and relating research to primary sources. Challenges include sustainable business models and integrating open access publications into library systems and collections. Alternative funding sources discussed include institutional support, research grants, library sales, and crowdsourcing.
Open Access Initiatives on a Regional and Global Scale: EIFL, OASPA, COAR and...Iryna Kuchma
The presentation covers EIFL's open access programme, Confederation of Open Access Repositories (COAR), Networked Digital Library of Theses and Dissertations (NDLTD) and Open Access Publishers Association (OASPA).
Workshop at Oxford on publishing for early career researchers - April 2011Jisc
This document discusses open publishing and what it offers researchers. It defines open as referring to permissions, cost, time, and access to papers, monographs, theses, and data. Researchers are encouraged to make their work openly accessible by putting papers in institutional repositories, publishing in open access journals, and negotiating rights with publishers. Open publishing can provide benefits like increased citations, savings and economic benefits, but does face challenges in funding models and getting researchers to participate. The document provides guidance on making theses, papers, monographs, and data open through various options and platforms.
RDM and data sharing landscape: overview for Salford DCC training 20140522L Molloy
Research data management and data sharing: a brief overview of where we are in the UK right now and some main drivers and benefits. Prepared for Salford university Digital Curation Centre training session, 22 May 2014. Contains material from across DCC resources.
This document summarizes a presentation about open data and science in Africa. It discusses the benefits of open data, such as enabling more informed decisions and driving development. It also addresses challenges like researchers' fears of having errors or incomplete data exposed. The presentation promotes the African Open Science Platform, which aims to establish open data policies and build capacity through workshops on data skills. The platform connects stakeholders to advance open data and science across Africa.
Opening up data – Jisc and CNI conference 10 July 2014Jisc
The document discusses research data management and open data. It notes that Creative Commons tools can be used to make data openly available, and have been successfully implemented in various disciplines. It also discusses requirements and guidelines from funders like NIH and NSF to share data. Trends in data sharing policies from journals in different fields over time are shown. Challenges to sharing research data are presented. The development of infrastructure to support open data is discussed.
FOURTH CODESRIA CONFERENCE ON ELECTRONIC PUBLISHING AND DISSEMINATION: The Open Access Movement and the Future of Africa’s Knowledge Economy, March 31, 2016, Dakar, Senegal
Certifying and Securing a Trusted Environment for Health Informatics Research...Jisc
The document discusses the certification and securing of a trusted environment for health informatics research data at the University of Dundee. It provides an overview of the Health Informatics Centre, its research data management platform, safe haven architecture, and ISO27001 certification. The platform standardizes data extraction and release, adds metadata and quality checks. A safe haven uses pseudonymized data and virtual environments prevent data from leaving. ISO27001 certification provides governance and reduces documentation through standardized information security practices.
The webinar presentation summarizes the LEARN Toolkit project which developed best practices for research data management. It includes 23 case studies organized into 8 sections covering topics like policies, advocacy, costs, roles and responsibilities. The project produced a model research data management policy and guidance document to help institutions develop their own policies. It engaged stakeholders through workshops around Europe and Latin America to align policies and terminology. The materials from the project, including the model policy, are published in the LEARN Toolkit which aims to support research organizations in improving their research data management.
Digital scholarship and identifiers - Geoffrey Bilder, CrossReff
Share update – Elliott Shore, Association of Research Libraries
Jisc Monitor update – Neil Jacobs, Jisc
Infrastructure and services to track research activity – Daniel Hook, Digital Science
Jisc and CNI conference, 6 July 2016
Data sharing and analytics in research and learningJisc
Learning analytics: progress and solutions - Niall Sclater and Michael Webb, both Jisc
Reading analytics - Clifford Lynch, CNI
Sharing data safely and it's re-use for analytics – David Fergusson, Francis Crick
Jisc and CNI conference, 6 July 2016
Equipping the researcher - patterns in the UK and USJisc
UK and US academic practices – Christine Wolff, Ithaka S+R and David Prosser, RLUK
Digital scholarship centres – Harriet Hemmassi, Brown University and Joan Lippincott, CNI
Software carpentry and software skills and practice – Neil Chue Hong, Software Sustainability Institute
Jisc and CNI conference, 6 July 2016
Closing plenary - John Wilkin and David MaguireJisc
Infrastructure for US research and scholarship
Speaker: John Wilkin, dean of libraries and university librarian at the University of Illinois, previous executive director, HathiTrust.
Efficient infrastructure for UK research
Speaker: David Maguire, vice-chancellor of the University of Greenwich and chair of Jisc.
Jisc and CNI conference, 6 July 2016
Researcher data management shared service for the UK – John Kaye, Jisc
Hydra - Tom Cramer, Stanford University and Chris Awre, University of Hull
Addressing the preservation gap at the University of York - Jenny Mitcham, University of York
Emulation developments - David Rosenthal, Stanford University
Jisc and CNI conference, 6 July 2016
The metric tide – Stephen Curry, Imperial College London, and Ben Johnson, HEFCE
Open infrastructures - Clifford Tatum, Leiden University
Open citation – Cameron Neylon, Curtin University
Jisc and CNI conference, 6 July 2016
PLOS Biology is launching a new section focused on meta-research to increase transparency in biosciences research. Meta-research examines issues related to research design, methods, reporting, evaluation and rewards. This will include exploring sources of bias, data sharing standards, and assessment metrics. Registered Reports will also be introduced, which accept studies for publication based on proposed methods rather than results, reducing bias against negative findings. However, most research data is lost within 10-15 years, highlighting the need for improved data sharing policies to maximize the value of research findings.
A presentation by Rachel Bruce, director open science and research lifecycle, Jisc and Matthew Spitzer, community manager, Centre for Open Science (COS).
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.
The document discusses how universities can maximize research output through open access repositories and metrics. It argues that by mandating that researchers deposit their work in institutional repositories, universities can provide open access to 100% of research articles. This maximizes the visibility, usage, and impact of the research and provides competitive advantages for universities that adopt open access mandates early on. Open access is achieved through "green open access self-archiving," where authors deposit their final, peer-reviewed manuscripts in institutional repositories.
Being Reproducible: SSBSS Summer School 2017Carole Goble
Lecture 2:
Being Reproducible: Models, Research Objects and R* Brouhaha
Reproducibility is a R* minefield, depending on whether you are testing for robustness (rerun), defence (repeat), certification (replicate), comparison (reproduce) or transferring between researchers (reuse). Different forms of "R" make different demands on the completeness, depth and portability of research. Sharing is another minefield raising concerns of credit and protection from sharp practices.
In practice the exchange, reuse and reproduction of scientific experiments is dependent on bundling and exchanging the experimental methods, computational codes, data, algorithms, workflows and so on along with the narrative. These "Research Objects" are not fixed, just as research is not “finished”: the codes fork, data is updated, algorithms are revised, workflows break, service updates are released. ResearchObject.org is an effort to systematically support more portable and reproducible research exchange.
In this talk I will explore these issues in more depth using the FAIRDOM Platform and its support for reproducible modelling. The talk will cover initiatives and technical issues, and raise social and cultural challenges.
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
This document introduces FAIRDOM, a consortium that provides a platform and services to help researchers organize, manage, share, and preserve research outputs according to FAIR principles. FAIRDOM has been in operation for 10 years and has over 50 installations supporting over 118 projects. It provides tools and services to help researchers collaborate better and integrate their data, models, publications and other research objects. FAIRDOM also works with other organizations and infrastructure providers to support broader research initiatives.
1) Big data standards are needed to make data understandable, reusable, and shareable across different databases and domains.
2) Effective standards require reporting sufficient experimental details and context in both human-readable and machine-readable formats.
3) Developing standards is a collaborative process involving different stakeholder groups to define requirements, vocabularies, and data models through both formal standards bodies and grassroots organizations.
This presentation was provided by Kristi Holmes of Northwestern University during the NISO hot topic virtual conference "Effective Data Management," which was held on September 29, 2021.
A 45min presentation given at the 'Getting published in Nature's Scientific Data journal', hosted by the University of Cambridge Research Data Management team (www.data.cam.ac.uk). Presented on Monday 11th January 2016.
Recomendations for infrastructure and incentives for open science, presented to the Research Data Alliance 6th Plenary. Presenter: William Gunn, Director of Scholarly Communications for Mendeley.
12.10.14 Slides, “Roadmap to the Future of SHARE”DuraSpace
Hot Topics: The DuraSpace Community Webinar Series
Series 10: All About the SHared Access Research Ecosystem (SHARE)
Webinar 3: Roadmap to the Future of SHARE
Wednesday, January 14, 2015
Presented by Judy Ruttenberg, Program Director, Association of Research Libraries
Being FAIR: FAIR data and model management SSBSS 2017 Summer SchoolCarole Goble
Lecture 1:
Being FAIR: FAIR data and model management
In recent years we have seen a change in expectations for the management of all the outcomes of research – that is the “assets” of data, models, codes, SOPs, workflows. The “FAIR” (Findable, Accessible, Interoperable, Reusable) Guiding Principles for scientific data management and stewardship [1] have proved to be an effective rallying-cry. Funding agencies expect data (and increasingly software) management retention and access plans. Journals are raising their expectations of the availability of data and codes for pre- and post- publication. The multi-component, multi-disciplinary nature of Systems and Synthetic Biology demands the interlinking and exchange of assets and the systematic recording of metadata for their interpretation.
Our FAIRDOM project (http://www.fair-dom.org) supports Systems Biology research projects with their research data, methods and model management, with an emphasis on standards smuggled in by stealth and sensitivity to asset sharing and credit anxiety. The FAIRDOM Platform has been installed by over 30 labs or projects. Our public, centrally hosted Asset Commons, the FAIRDOMHub.org, supports the outcomes of 50+ projects.
Now established as a grassroots association, FAIRDOM has over 8 years of experience of practical asset sharing and data infrastructure at the researcher coal-face ranging across European programmes (SysMO and ERASysAPP ERANets), national initiatives (Germany's de.NBI and Systems Medicine of the Liver; Norway's Digital Life) and European Research Infrastructures (ISBE) as well as in PI's labs and Centres such as the SynBioChem Centre at Manchester.
In this talk I will show explore how FAIRDOM has been designed to support Systems Biology projects and show examples of its configuration and use. I will also explore the technical and social challenges we face.
I will also refer to European efforts to support public archives for the life sciences. ELIXIR (http:// http://www.elixir-europe.org/) the European Research Infrastructure of 21 national nodes and a hub funded by national agreements to coordinate and sustain key data repositories and archives for the Life Science community, improve access to them and related tools, support training and create a platform for dataset interoperability. As the Head of the ELIXIR-UK Node and co-lead of the ELIXIR Interoperability Platform I will show how this work relates to your projects.
[1] Wilkinson et al, The FAIR Guiding Principles for scientific data management and stewardship Scientific Data 3, doi:10.1038/sdata.2016.18
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.
Data Management for Research (New Faculty Orientation)aaroncollie
Situates research data management as a contingency that should be addressed and provisioned for during planning and research design. Draws out fundamental practices for file management, data description, and enumerates storage decision points.
We will provide a glimpse into the process of assembling data from publishers, funders, and repositories to create meaningful reports of emerging research release events.
A presentation given by Manjula Patel (UKOLN) at the Repository Curation Environments (RECURSE) Workshop held at the 4th International Digital Curation Conference, Edinburgh, 1st December 2008,
http://www.dcc.ac.uk/events/dcc-2008/programme/
Increased access to the data generated is fuelling increased consumption and accelerating the cycle of discovery. But the successful integration and re-use of heterogeneous data from multiple providers and scientific domains is a major challenge within academia and industry, often due to incomplete description of the study details or metadata about the study. Using the BioSharing, ISA Commons and the STATistics Ontology (STATO) projects as exemplar community efforts, in this breakout session we will discuss the evolving portfolio of community-based standards and methods for structuring and curating datasets, from experimental descriptions to the results of analysis.
http://www.methodsinecologyandevolution.org/view/0/events.html#Data_workshop
Similar to Active research management and sharing (20)
The document announces a community launch event for digital storytelling in January 2024. It discusses using digital storytelling in higher education to support learning and teaching. Examples include using digital stories for formative assessment, reflective exercises, and research dissemination across various disciplines. Feedback from students and staff who participated in digital storytelling workshops was very positive and found it to be transformative and help give voice to their experiences. The document also profiles speakers who will discuss using digital stories to explore difficult concepts, hear the student voice, and facilitate staff reflections. It emphasizes that digital storytelling can introduce humanity and creativity into pedagogy and help develop core skills. Attendees will participate in a Miro activity to discuss benefits, applications,
This document summarizes a Jisc strategy forum that took place in Northern Ireland on December 14, 2023. It outlines Jisc's planned services and initiatives for 2023-2024, including expanding network access and launching new cybersecurity, analytics, and equipment services. It discusses feedback received from further and higher education members on how Jisc can better deliver solutions, empower communities, and provide vision/strategy. Activities at the forum focused on understanding members' needs/challenges and discussing how Jisc can better support key priorities in Northern Ireland, such as affordable infrastructure, digital skills, and cybersecurity for FE and efficiency, student experience, and collaboration for HE.
This document summarizes a Jisc Scotland strategy forum that took place on December 12, 2023. It outlines Jisc's planned solutions and services for 2023-2024 including deploying resilient Janet access, IT health checks, online surveys, SD-WAN services, and more. The document discusses how Jisc engages stakeholders through relationship management, research, communities, training and events. It summarizes feedback from further education and higher education members on how Jisc can improve advocacy by delivering the right solutions, empowering communities, and having a clear vision and strategy. Finally, it outlines activities for the forum, including understanding members' needs and priorities and discussing how Jisc supports national priorities in Scotland.
The Jisc provided a strategic update to stakeholders. Key highlights included:
- Achievements from the last year like data collection and analysis following the HESA merger, digital transformation support, and cost savings from licensing deals.
- Customer testimonials from Bridgend College on extending eduroam and from the University of Northampton on curriculum design support from Jisc.
- Priorities for the coming year like connectivity upgrades, new cybersecurity services, and improved customer experience.
- A financial summary showing income sources like membership fees and expenditures on areas like connectivity and cybersecurity.
This document summarizes VirtualSpeech, a company that provides virtual reality (VR) and artificial intelligence (AI) powered professional development training. It offers over 150 online courses covering topics like public speaking, leadership, and sales. Users can practice skills in immersive VR scenarios and receive feedback from conversational AI. The training is used by over 450,000 individuals across 130 countries and 150 universities. VirtualSpeech aims to enhance traditional learning with interactive VR practice sessions and real-time feedback to boost skills retention.
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A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
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13. Norms
Communality
Open sharing
Universalism
Evaluate research on own merit
Disinterestedness
Motivated by knowledge and
discovery
Counternorms
Secrecy
Closed
Particularlism
Evaluate research by reputation
Self-interestedness
Treat science as a competition
14. Norms
Communality
Open sharing
Universalism
Evaluate research on own merit
Disinterestedness
Motivated by knowledge and
discovery
Organized skepticism
Consider all new evidence, even
against one’s prior work
Counternorms
Secrecy
Closed
Particularism
Evaluate research by reputation
Self-interestedness
Treat science as a competition
Organized dogmatism
Invest career promoting one’s own
theories, findings
15. Norms
Communality
Open sharing
Universalism
Evaluate research on own merit
Disinterestedness
Motivated by knowledge and
discovery
Organized skepticism
Consider all new evidence, even
against one’s prior work
Quality
Counternorms
Secrecy
Closed
Particularism
Evaluate research by reputation
Self-interestedness
Treat science as a competition
Organized dogmatism
Invest career promoting one’s own
theories, findings
Quantity
41. OpenSesame
Soon29 grants to develop open tools and services: https://cos.io/pr/2015-09-24/
Publish Report
Search/Discovery
Develop Idea
Design Study
Collect Data
Store Data
Analyze Data
Write Report
64. Active research from lab to
publication
Prof. Simon Coles (s.j.coles@soton.ac.uk)
Director, UK National Crystallography Service
65. What is “active” here?
Continual management throughout the whole
experimental process
Immediate feedback during the experiment to
inform next steps or direction
67. Working Across Facilities
67
Conceive Research Propose Experiment Analyse Publish
Approval
Submissi
on
Experim
ent
Analysi
s
Publicati
on
Propos
al
Proposal
Approv
al
Schedul
e
Experim
ent
Archi
ve
Analy
se
Publi
sh
NCS User
NCS
Central
Facility
72. In the context of ‘traditional’
publishing
• ELN as Supplementary Information for conventional
publication (Chemistry Central Journal 2013, 7:182 )
72
73. Can we make metadata
do more for us (actively)?
Formal frameworks for real-time capture required…
74. A semantic framework for chemistry
• Describes and relates different types of process information
74
elnItemManifest
high-level semantic
description of ELN record
Core Scientific
Metadata model
SIMS
Reaction
Procedures
S88
Analytical data
Allotrope
Foundation
75. elnItemManifest
• Layered metadata model for description, export & packaging
• This is the first (information) layer – leads into knowledge
• Published through Dial-a-Molecule
athttp://wp.me/p2JoQ6-xF & in J. ChemInf 2013, 5:52
75
76. Core Scientific Metadata model
as a Starting Point
• Doesn’t cover all, but…
• Forms the basis for extensions:
- To derived data
- To laboratory based science
- To secondary analysis data
- To preservation information
- To publication data
76
Investigatio
n
Publication KeywordTopic
Sample
Sample
Parameter
Dataset
Dataset
Parameter
Datafile
Datafile
Parameter
Investigator
Related
Datafile
Parameter
Authorisati
on
77. SIMS:
Sample Information Management System
• A standard/format for crystallographic sample and
experiment data management and archival
• Supported by CrystalClear and NCS Portal, providing
interaction between facility, instruments and CIF, ImgCIF etc
77
78. Standards for reactions: S88
78
• Group arising from Dial-a-Molecule consisting of Mettler
Toledo, Pfizer, GlaxoSmithKline, AstraZeneca, Johnson &
Johnson, Southampton University, NextMove, Royal
Society of Chemistry looking to:
– Provide guidance for S88 implementations for synthetic organic
chemistry reaction procedures
– Provide example set
– Agree on controlled vocabularies for elements
– Generate a schema
– IUPAC uptake?
79. Standards for reactions: S88
79
• Group arising from Dial-a-Molecule consisting of Mettler
Toledo, Pfizer, GlaxoSmithKline, AstraZeneca, Johnson &
Johnson, Southampton University, NextMove, Royal
Society of Chemistry looking to:
– Provide guidance for S88 implementations for synthetic organic
chemistry reaction procedures
– Provide example set
– Agree on controlled vocabularies for elements
– Generate a schema
– IUPAC uptake?
16 (0.101 g, 0.132 mmol) and Cu(OTf)2 (0.006 g, 0.01 mmol) were added to a round-bottom flask under a N2
atmosphere. In a separate vial, 2 (0.155 g, 0.753 mmol) was dissolved in C2H4Cl2 (1.3 mL) and transferred to the reaction
flask. CF3CO2H (0.030 mL, 3 equiv) was added to the reaction mixture, which was refluxed at 100 °C for 1 h. The
reaction mixture was washed with saturated NaHCO3 (15 mL) and extracted with C2H4Cl2 (3 x 5 mL). The organic
fractions were collected, dried (MgSO4), and filtered to give a dark red solution. The solvent was removed, and the
product was purified by column chromatography (SiO2, 30:70 CH2Cl2 : hexane) to yield 17 as a pale yellow powder (0.096
g, 68% yield).
83. Research Data Alliance
• Chemistry data interest group
• Joint RDA/IUPAC Charter drafted
– Characterise chemical data types
– Leverage to establish standards
– Examine workflows in disciplines interacting with
chemistry
– Cultivate a sharing culture
83
85. Recording process
• Plan (Prospective
provenance)
85
• Enactment
(Retrospective
provenance)
• Realisation
86. oreChem Plan for eCrystals
• Machine-readable
representation of methodology
• Describes requirements for
software and data products
86
87. CREAM:
Collaboration for Research
Enhancement using Active Metadata
• How to collect and use
metadata actively to
capture tacit information
• Active metadata: assemblage of
metadata and annotations used
actively within the process that
generates it (capable of being
reused by another process).
• Central Facilities; Chemistry;
Geosciences; Art; Music…
• Uptake: CODATA; Research
Data Alliance 87
https://blog.soton.ac.uk/cream/
89. Managing active research in
the University of Edinburgh
Robin Rice
University of Edinburgh
(@sparrowbarley)
90. Elements of the presentation
• Funded & unfunded research, PGR
students, collaborators
• Managing & support for …
– research grants
– research outputs
– research data
• Simplified research lifecycle
– (before – during – after)
90
91. New Research Management and Administration
System (grants)
Worktribe - Empowering and supporting research administrators
and investigators from idea through costing, approvals, award,
post-award management and closure.
• A recent requirements and procurement project focused on
delivery of a new 'Worktribe Research Management' system to
support improved pre-award and post-award business processes
across the University.
– 3 pilot schools / institutes November 2015
– Go-live across university April 2016
• The new 'Worktribe Research Management' system is integrated
with the existing Finance, HR and PURE systems.
• https://www.projects.ed.ac.uk/programme/rmas
91
92. Managing research outputs:
guidance for authors; OJS
1. Make your work Open Access 5. Acknowledge your funder
2. Use your name consistently 6. Statement on research data
3. Use an ORCID identifier 7. Cite the DOI and OA links
4. Institutional affiliation 8. Claim your digital space
‘Ensure your research reaches the widest possible global audience, is
eligible for submission in research assessment exercises, and fulfils funder
requirements.’
92
93. Type, format volume of data, chosen software
for long-term access, existing data, file naming,
structure, versioning, quality assurance
process.
Information needed for the
data to be read and
interpreted in future,
metadata standards,
methodology, definition of
variables, format & file
type of data.
Restrict access to data, risks
to data security,
appropriate methods to
transfer / share data,
encryption.
Secure & sufficient storage for active
data, regular backups, disaster recovery
Make data publicly
available (where possible)
at the end of a project,
license data, any
restrictions on sharing,
access controls?
Select data to keep,
decide how long data
will be kept, in which
repository, costs
involved in long-term
storage?
Day-to-daymanagementofdata
Managing Research Data
(from researcher training)
93
94. Who manages active data?
• RDM Policy (2011) sets out roles and responsibilities
for researchers & the institution
– Researchers are responsible for their work
– Enabling role of institution
• Services, including stewardship
• Monitoring compliance
• Principal Investigators
• Research Institutes & Schools
94
96. From RDM programme to
Research Data Service…
• RDM programme a result of both bottom-up (‘action
group’) activity and top-down policy implementation
• Services had various providers and their purpose and
names were confusing
• New single service has
SO & SOM with Virtual Team
across Information Services
96
100. Finding and analysing data
• What is Data Library & Consultancy?
• The Data Library & Consultancy team assists researchers to
discover and use datasets for analysis, learning and teaching.
• Data librarians are available to help you find answers to data-
related questions.
• Tools include a data catalogue and the Survey Documentation
and Analysis online data browser
100
101. Storing data
• What is DataStore?
• DataStore is file storage for active research data, and is
available to all research staff and postgraduate research
students (PGRs).
• DataStore provides a free individual allocation for each
researcher, as well as shared group spaces. Additional capacity
of virtually any size is available.
101
102. Transferring data
• What is DataSync?
• DataSync is a tool to synchronise and share research data with
collaborators. It has an app to synchronise data to computers
and mobile devices, and a web interface to allow access to
data from any web browser.
• Data can be shared with anyone who has an email address, via
the web interface.
102
103. Versioning software
• What is Subversion?
• Subversion is a version control tool which allows users to store code. It is
also available as an extension called SourcEd which provides a web based
collaboration tool integrated with your repository.
• When documents stored in a Subversion repository are updated the old
versions are kept so you can revert if necessary. The service also allows
multiple people to collaborate on documents.
103
104. Data management support
One-to-one support is available on the following areas of RDM:
• Writing and reviewing DMPs;
• Creating SOPs for metadata collection and publication;
• Creating SOPs for good data management practice;
• Choosing a data repository and preparing data for deposit and
publication
104
105. Training - Online
• MANTRA: MANTRA is a free, non-credit, self-paced course
designed for postgraduate students and early career
researchers which provides guidelines for good practice in
research data management
• Research Data Management and Sharing MOOC: This free five-
week course - created by the Universities of Edinburgh and
North Carolina - is designed to reach learners across disciplines
and continents.
105
113. Training workshops
• Creating a data management plan for your grant application
• Managing your research data: why is it important and what
should you do?
• Working with personal & sensitive research data
• Good practice in research data management
• Handling data using SPSS
113
116. Making research available - FAIR
principles and Force 11
David De Roure, Oxford e-Research Centre
14/07/2016
117. David De Roure
@dder
Making research available:
FAIR principles and FORCE11
DIRECTOR, UNIVERSITY OF OXFORD E-RESEARCH CENTRE
118. A Brief History of Force11
● 2008/2009:
– Elsevier Grand challenge
● 2010:
– Found & connected to Phil
Bourne
– Planned Dagstuhl meeting
● 2011:
– January: Beyond the PDF,
San Diego: 97 Attendees
– August: Force11 at
Dagstuhl: 34 attendees
– November: Manifesto is
published >> Force11!
● 2012: Funding Sloan
● 2013: Beyond the PDF2,
Amsterdam:
– 148 attendees, great discussion
● 2014: Working groups take
off:
– Data Citation Principles Working
group
– Resource Identifier Working
group
● 2015: Force15, Oxford:
– 257 attendees
● 2015: Force 2016,
Portland, Oregon
122. A diverse set of stakeholders -
representing academia, industry,
funding agencies, and scholarly
publishers - have come together to
design and jointly endorse a concise
and measureable set of principles,
for those wishing to enhance the
reusability of their data holdings
Including, but not limited to:
European Open Science Cloud –
High Level Expert Group
123. These put emphasis on enhancing the ability of
machines to automatically find and use the data, in
addition to supporting its reuse by individual
NOTE: The Principles are high-level; do not suggest
any specific technology, standard, or implementation-