Presentation to the EC Workshop on Maximizing investments in health research: FAIR data for a coordinate COVID-19 response. Workshop III, November 8, 2021.
Presentation to the EC Workshop on Maximizing investments in health research: FAIR data for a coordinate COVID-19 response. Workshop I, October 11, 2021.
Westminster Higher Education Forum policy conference Open research data in the UK: https://www.westminsterforumprojects.co.uk/conference/open-research-data-20
Talk given at the Data Visualisation and the Future of Academic Publishing event. https://www.eventbrite.com/e/data-visualisation-and-the-future-of-academic-publishing-tickets-25372801733?password=dataviz
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
Presentation to the EC Workshop on Maximizing investments in health research: FAIR data for a coordinate COVID-19 response. Workshop I, October 11, 2021.
Westminster Higher Education Forum policy conference Open research data in the UK: https://www.westminsterforumprojects.co.uk/conference/open-research-data-20
Talk given at the Data Visualisation and the Future of Academic Publishing event. https://www.eventbrite.com/e/data-visualisation-and-the-future-of-academic-publishing-tickets-25372801733?password=dataviz
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
Breif overview of the FAIR Cookbook for the UK Conference of Bioinformatics and Computational Biology 2021: https://www.earlham.ac.uk/uk-conference-bioinformatics-and-computational-biology-21
Brief introduction to FAIRsharing work with industry (publishers, pharmas) and the FAIR Cookbook (for the Life Science): https://www.opensciencefair.eu/2021/workshops/applying-fair-principles-to-open-science-and-industry-to-drive-innovation-challenges-and-opportunities
Breif overview of FAIR and FAIRsharing, with focus on publishers for the Euroscience Open Forum (ESOF) 2020 session on FAIR and Data Sharing:
https://www.esof.eu/en/programme/programme-event-list-all-events/event-information/scientific-data-sharing-and-its-impact-on-scientific-careers-and-their-evaluation.html
Overview of FAIR and the IMI FAIRplus project at the UK Conference of Bioinformatics and Computational Biology 2020: https://www.earlham.ac.uk/uk-conference-bioinformatics-and-computational-biology-2020
Presentation to the "FAIRification put into practice: Characterization of energy data and development of workflows" event by https://www.eeradata.eu => https://www.eeradata.eu/event/2857:online-discussion-fairification-put-into-practice-characterization-of-energy-data-and-development-of-workflows.html#
Presented at http://mcbios-maqc.org. The FAIR Principles have propelled the global debate in all disciplines about better RDM, transparent and reproducible data worldwide, and in all disciplines. FAIR has de facto become a global norm for good RDM, a prerequisite for data science, since their endorsement by global and intergovernmental leaders. Funding bodies are consolidating FAIR into their funding agreements; publishers have united behind FAIR as a way to remain at the forefront of open research; and in the private sector FAIR is adopted and enshrined in policy in major biopharmas, libraries, and unions. FAIR is changing the culture of data science, but work is needed to turn the principles into reality. I will use the work of the FAIRplus project as examplar to illustrate challenges and progresses.
The FAIR Cookbook poster, as presented at the ELIXIR-UK Node and the UK Conference of Bioinformatics and Computational Biology 2021: https://www.earlham.ac.uk/uk-conference-bioinformatics-and-computational-biology-21
Brief summary for the INCF Neuroscience Assembly (https://neuroinformatics.incf.org/2021/program-week-2) of the two sessions run at the RDA Plenary 17th, which FAIRsharing WG has contributed t.
My presentation at the http://neuroinformatics2017.org (Kuala Lumpur, Malaysia) on FAIR and FAIRsharing (previously BioSharing); metadata standards and their implementation by databases/repositories and adoption by journals' and funders' data policies.
Overview of the role of FAIRsharing and a dedicated Collection of data resources (platforms and registries that collect, harmonize, and share participant-level clinical-epidemiological, OMICs, and/or imaging data) for the COVID-19 Clinical Research Coalition and The Tropical Disease Research initiatives: https://coronavirus.tghn.org/research-resources/data-sharing-covid-19
Brief introduction
to the FAIRsharing collaborative, including work with DataCite and publishers on "Repository Selection: Criteria that Matter", and with COS on applying TOP guidelines to data policies registered in FAIRsharing
Overview of metadata standards, and how FAIRsharing and the FAIR Cookbook help selecting and using them. Presentation to the What is metadata? Common standards and properties. EHP Workshop, November 9, 2022: https://ephconference.eu/pre-conference-programme-441
Breif overview of the FAIR Cookbook for the UK Conference of Bioinformatics and Computational Biology 2021: https://www.earlham.ac.uk/uk-conference-bioinformatics-and-computational-biology-21
Brief introduction to FAIRsharing work with industry (publishers, pharmas) and the FAIR Cookbook (for the Life Science): https://www.opensciencefair.eu/2021/workshops/applying-fair-principles-to-open-science-and-industry-to-drive-innovation-challenges-and-opportunities
Breif overview of FAIR and FAIRsharing, with focus on publishers for the Euroscience Open Forum (ESOF) 2020 session on FAIR and Data Sharing:
https://www.esof.eu/en/programme/programme-event-list-all-events/event-information/scientific-data-sharing-and-its-impact-on-scientific-careers-and-their-evaluation.html
Overview of FAIR and the IMI FAIRplus project at the UK Conference of Bioinformatics and Computational Biology 2020: https://www.earlham.ac.uk/uk-conference-bioinformatics-and-computational-biology-2020
Presentation to the "FAIRification put into practice: Characterization of energy data and development of workflows" event by https://www.eeradata.eu => https://www.eeradata.eu/event/2857:online-discussion-fairification-put-into-practice-characterization-of-energy-data-and-development-of-workflows.html#
Presented at http://mcbios-maqc.org. The FAIR Principles have propelled the global debate in all disciplines about better RDM, transparent and reproducible data worldwide, and in all disciplines. FAIR has de facto become a global norm for good RDM, a prerequisite for data science, since their endorsement by global and intergovernmental leaders. Funding bodies are consolidating FAIR into their funding agreements; publishers have united behind FAIR as a way to remain at the forefront of open research; and in the private sector FAIR is adopted and enshrined in policy in major biopharmas, libraries, and unions. FAIR is changing the culture of data science, but work is needed to turn the principles into reality. I will use the work of the FAIRplus project as examplar to illustrate challenges and progresses.
The FAIR Cookbook poster, as presented at the ELIXIR-UK Node and the UK Conference of Bioinformatics and Computational Biology 2021: https://www.earlham.ac.uk/uk-conference-bioinformatics-and-computational-biology-21
Brief summary for the INCF Neuroscience Assembly (https://neuroinformatics.incf.org/2021/program-week-2) of the two sessions run at the RDA Plenary 17th, which FAIRsharing WG has contributed t.
My presentation at the http://neuroinformatics2017.org (Kuala Lumpur, Malaysia) on FAIR and FAIRsharing (previously BioSharing); metadata standards and their implementation by databases/repositories and adoption by journals' and funders' data policies.
Overview of the role of FAIRsharing and a dedicated Collection of data resources (platforms and registries that collect, harmonize, and share participant-level clinical-epidemiological, OMICs, and/or imaging data) for the COVID-19 Clinical Research Coalition and The Tropical Disease Research initiatives: https://coronavirus.tghn.org/research-resources/data-sharing-covid-19
Brief introduction
to the FAIRsharing collaborative, including work with DataCite and publishers on "Repository Selection: Criteria that Matter", and with COS on applying TOP guidelines to data policies registered in FAIRsharing
Overview of metadata standards, and how FAIRsharing and the FAIR Cookbook help selecting and using them. Presentation to the What is metadata? Common standards and properties. EHP Workshop, November 9, 2022: https://ephconference.eu/pre-conference-programme-441
FAIRsharing - connecting standards, repositories and data policies across agr...Peter McQuilton
A 10 minute presentation on FAIRsharing, highlighting the manually curated metadata we provide on agri-related standards (ontologies, reporting guidelines, identifier schema, models and formats), databases (both knowledgebases and repositories) and data policies from funders and journal publishers. Presented at the RDA P14 meeting in Helsinki, Finland (October 2019).
Overview to: BBSRC Oxford Doctoral Training Partnership - Dr Sansone - July 2014Susanna-Assunta Sansone
What to know when planning for your data management strategy and preparing a data management statement for a research proposal for BBSRC DTP first year students
INSERM Workshop 246 - Management and reuse of health data: methodological issues: https://ateliersinserm.dakini.fr/en/workshop.246.management.and.reuse.of.health.data.methodological.issues-66-22.php
EOSC-Life AGM 2022 Publishing FAIR RI data resources in EOSC.pdfAllyson Lister
FAIRsharing uses collections to create community-specific views of the resource descriptions we store and the relationships among them. This talk describes the work by EOSC-Life Work Package 1 to update and enrich the EOSC-Life collection, which groups together all resources created by EOSC-Life partners. Part of the EOSC-Life AGM 2022 (https://www.eosc-life.eu/news/3rd-agm/).
Susanna Sansone - OpenCon Oxford, 1st Dec 2017Crossref
FAIR Data: principles and practices
A growing worldwide movement for reproducible research encourages making data, along with the experimental details, available according to the FAIR principles of Findability, Accessibility, Interoperability and Reusability (see http://www.nature.com/articles/sdata201618). Several data management, sharing policies and plans have emerged and, in parallel, a growing number of community-based groups are developing hundreds of standards to harmonize the reporting of different experiments. Community mobilization is evident also by the number of efforts and alliances, but also data journals and data centres being launched.
Ross Wilkinson - Data Publication: Australian and Global Policy DevelopmentsWiley
Australia invests $AUD1-2B per annum in research data. Like most countries, it wants to get the best return possible on this data. Europe is spending E1.4B on their open data “pilot”. This means the data should be FAIR: findable, accessible, interoperable, and reusable. Part of this is that data should be routinely “published” and available in a “data repository”. But what does this mean?
Ross Wilkinson
CEO, Australian National Data Service
Presented at the 2015 Wiley Publishing Seminar, 5 November, Melbourne, Australia.
FAIR, community standards and data FAIRification: components and recipesSusanna-Assunta Sansone
Overview of FAIR, FAIRsharing and the FAIR Cookbook at the ATI event on Knowledge Graphs: https://github.com/turing-knowledge-graphs/meet-ups/blob/main/symposium-2022.md
Presentation to the EOSC workshop on policies (https://www.google.com/url?q=https://eoscfuture.eu/eventsfuture/monitoring-eosc-readiness-fair-data-policies) on what FAIRsharing does for policies, including providing registration, discovery, flexible and clearer descriptions, relationships, machine readability and comparability.
The role of FAIRsharing in assessing FAIRness of digital objects: we assist, not assess. The workshop brought together a number of FAIR evaluation tools to discuss and design common FAIR tests to ensure tools deliver consistet results. Our presentation illustrates how FAIRsharing's content helps and how FAIRsharing's service contributes. The work will contribute to the work of the EOSC FAIR Metrics Task Force.
The FAIR Cookbook poster, as presented at the UK Conference of Bioinformatics and Computational Biology 2021: https://www.earlham.ac.uk/uk-conference-bioinformatics-and-computational-biology-21
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
Levelwise PageRank with Loop-Based Dead End Handling Strategy : SHORT REPORT ...Subhajit Sahu
Abstract — Levelwise PageRank is an alternative method of PageRank computation which decomposes the input graph into a directed acyclic block-graph of strongly connected components, and processes them in topological order, one level at a time. This enables calculation for ranks in a distributed fashion without per-iteration communication, unlike the standard method where all vertices are processed in each iteration. It however comes with a precondition of the absence of dead ends in the input graph. Here, the native non-distributed performance of Levelwise PageRank was compared against Monolithic PageRank on a CPU as well as a GPU. To ensure a fair comparison, Monolithic PageRank was also performed on a graph where vertices were split by components. Results indicate that Levelwise PageRank is about as fast as Monolithic PageRank on the CPU, but quite a bit slower on the GPU. Slowdown on the GPU is likely caused by a large submission of small workloads, and expected to be non-issue when the computation is performed on massive graphs.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
tapal brand analysis PPT slide for comptetive data
FAIRsharing - focus on standards and new features
1. Susanna-Assunta Sansone, PhD
Associate Professor and Associate Director, Oxford e-Research Centre,
University of Oxford, UK
ORCiD: 0000-0001-5306-5690 | Twitter: @SusannaASansone
Group: datareadiness.eng.ox.ac.uk
Maximizing investments in health research: FAIR data for a coordinate COVID-19 European response. Workshop III, November 8, 2021
Slides: https://www.slideshare.net/SusannaSansone
Interoperability Standards and Profiles
2. FAIRsharing: mapping the landscape
Guides consumers to discover, select and use these resources with confidence
Helps producers to make their resources more visible, more widely adopted and cited
Over 3500
resources
3. Standard organizations, e.g.: Grass-roots groups, e.g.:
The landscape of (meta)data standards
in the life and biomedical sciences
Identifiers
Terminologies Guidelines
Formats
486
275
151
8
More than 900 data and metadata standards
12. • Use FAIRsharing to discover, select and use standards
• Notify FAIRsharing if a standard you use is missing
- register also any crosswalks and mapping of standards
• Create your profiles: collection(s) of standards (and data resources), e.g.:
- used within a project
- implemented by an organization
- recommended for use to your community
Summary
Homepage: https://fairsharing.org
Beta site: https://beta.fairsharing.org