RDA BioSharing WG/ELIXIR Session Montreal 2017Peter McQuilton
A 15 minute presentation giving an introduction to FAIRsharing, an ELIXIR Interoperability Platform resource of curated and linked information on standards, databases and policies.
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
While the evolution of information technology is bringing the data closer to customers for their own exploration, the need of a comprehensive understanding of the therapeutic area knowledge for programmers in clinical development is increasing. Starting with a basic understanding on the medical background, special assessment methods, ways of statistically analyzing and displaying the data, to name a few essential ones enables programmers to interact with partners (e.g. scientist, statisticians etc.) on equal par.
In this intent, activities to collect and provide comprehensive information around the Oncology and Rheumatoid Arthritis Therapeutic Areas (TA) via the PhUSE Wiki had started in February 2013 and continued throughout the year. Various PhUSE members have spent time and energy to provide and expand their knowledge and make it available to the entire community.
Today, although there is still much to do to complete and maintain the collected material, the two TA Wikis are a useful tool for Statistical Programmers approaching these TA for the first time or who want to improve their knowledge. Moreover the PhUSE Wiki can be seen as a basic tool for future developments to improve the way professionals in the different TA work. An established working relationship across organizations, pharmaceutical companies or external service providers, will help to support implementation of TA-specific standards from mapping raw data in SDTM, data analysis using ADaM and finally data presentation in standardized outputs. The PhUSE Wiki can be the central place to share important updates such as new CDISC TA standards or the availability of new TA regulatory guidance. On the other hand we see the Wiki as a place to discuss, to stimulate and inspire new initiatives among the “SAS-Programming Community”, be it Statisticians, Programmers, Data Managers or everyone else involved; this may include specific TA working related white papers and/or scripts being part of the FDA Working Groups WG5 “Development of Standard Scripts for Analysis and Programming” Project 08 “Create white papers providing recommended display and analysis including Table, List and Figure shells”.
Presented at PhUSE/FDA CSS 2014 in Silver Spring (US)
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
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
This presentation was provided by Rebecca Springer of Ithaka S+R, during part one of the NISO two-part webinar "Labor and Capacity for Research Data Management," which was held on March 11, 2020.
In this webinar, we look at how you obtain and use open data, the key role of search engines and how you establish rust in the data you find. The webinar will also look at the quality of data and how to clean and prepare data for analysis. Finally, the session will look at how you can quickly visualise cleaned data and the applications of this in the agriculture sector.
RDA BioSharing WG/ELIXIR Session Montreal 2017Peter McQuilton
A 15 minute presentation giving an introduction to FAIRsharing, an ELIXIR Interoperability Platform resource of curated and linked information on standards, databases and policies.
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
While the evolution of information technology is bringing the data closer to customers for their own exploration, the need of a comprehensive understanding of the therapeutic area knowledge for programmers in clinical development is increasing. Starting with a basic understanding on the medical background, special assessment methods, ways of statistically analyzing and displaying the data, to name a few essential ones enables programmers to interact with partners (e.g. scientist, statisticians etc.) on equal par.
In this intent, activities to collect and provide comprehensive information around the Oncology and Rheumatoid Arthritis Therapeutic Areas (TA) via the PhUSE Wiki had started in February 2013 and continued throughout the year. Various PhUSE members have spent time and energy to provide and expand their knowledge and make it available to the entire community.
Today, although there is still much to do to complete and maintain the collected material, the two TA Wikis are a useful tool for Statistical Programmers approaching these TA for the first time or who want to improve their knowledge. Moreover the PhUSE Wiki can be seen as a basic tool for future developments to improve the way professionals in the different TA work. An established working relationship across organizations, pharmaceutical companies or external service providers, will help to support implementation of TA-specific standards from mapping raw data in SDTM, data analysis using ADaM and finally data presentation in standardized outputs. The PhUSE Wiki can be the central place to share important updates such as new CDISC TA standards or the availability of new TA regulatory guidance. On the other hand we see the Wiki as a place to discuss, to stimulate and inspire new initiatives among the “SAS-Programming Community”, be it Statisticians, Programmers, Data Managers or everyone else involved; this may include specific TA working related white papers and/or scripts being part of the FDA Working Groups WG5 “Development of Standard Scripts for Analysis and Programming” Project 08 “Create white papers providing recommended display and analysis including Table, List and Figure shells”.
Presented at PhUSE/FDA CSS 2014 in Silver Spring (US)
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
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
This presentation was provided by Rebecca Springer of Ithaka S+R, during part one of the NISO two-part webinar "Labor and Capacity for Research Data Management," which was held on March 11, 2020.
In this webinar, we look at how you obtain and use open data, the key role of search engines and how you establish rust in the data you find. The webinar will also look at the quality of data and how to clean and prepare data for analysis. Finally, the session will look at how you can quickly visualise cleaned data and the applications of this in the agriculture sector.
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.
BioSharing, an ELIXIR Interoperability Platform resourcePeter McQuilton
A 20 minute presentation given at the 9th RDA Plenary in Barcelona as part of the BioSharing WG - ELIXIR Bridging Force IG session. This presentation covers the basics of what BioSharing is, who it's for, and how it captures and connects information on data standards, databases and data policies from the life, biomedical and environmental sciences.
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
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.
Benefitting business – applying the librarian’s skillset 3 april01LAICDG
Presentation by Sarah Lyons, Digital Librarian at Novartis, for the Information Skills for the Future event, organised by the Career Development Group of the Library Association of Ireland on April 2nd 2015
Demystifying IBM Watson: Uncover the Power of Cognitive SolutionsPerficient, Inc.
Successful organizations recognize that information is a strategic asset, capable of strengthening decision making, improving efficiency, reducing risk, and enhancing customer relationships. With the tremendous surge in the volume and diversity of data, leveraging this information across the entire enterprise is a business imperative that cannot be ignored.
IBM Watson harnesses the power of cognitive exploration, machine learning, and natural language processing to answer your most pressing questions, strengthen decision making, scale expertise, uncover key information in unstructured data, and reveal previously undiscovered data patterns and relationships.
In this SlideShare, we discuss:
Trends in cognitive solutions
Use cases for IBM Watson
Real-world Watson success stories
Getting started on the path to cognitive solutions
The School of Information (iSchool) at San Jose State University (SJSU) collaborated with Silicon Valley startup RedLink to develop an innovative taxonomy of academic disciplines using Synaptica KMS, a flexible and powerful enterprise solution.
"We are delighted the SJSU iSchool team chose Synaptica for their taxonomy development system. This project demonstrates how taxonomies help businesses achieve differentiation, and the benefit of academic-commercial collaboration," stated Dave Clarke, CEO of Synaptica.
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.
BioSharing, an ELIXIR Interoperability Platform resourcePeter McQuilton
A 20 minute presentation given at the 9th RDA Plenary in Barcelona as part of the BioSharing WG - ELIXIR Bridging Force IG session. This presentation covers the basics of what BioSharing is, who it's for, and how it captures and connects information on data standards, databases and data policies from the life, biomedical and environmental sciences.
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
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.
Benefitting business – applying the librarian’s skillset 3 april01LAICDG
Presentation by Sarah Lyons, Digital Librarian at Novartis, for the Information Skills for the Future event, organised by the Career Development Group of the Library Association of Ireland on April 2nd 2015
Demystifying IBM Watson: Uncover the Power of Cognitive SolutionsPerficient, Inc.
Successful organizations recognize that information is a strategic asset, capable of strengthening decision making, improving efficiency, reducing risk, and enhancing customer relationships. With the tremendous surge in the volume and diversity of data, leveraging this information across the entire enterprise is a business imperative that cannot be ignored.
IBM Watson harnesses the power of cognitive exploration, machine learning, and natural language processing to answer your most pressing questions, strengthen decision making, scale expertise, uncover key information in unstructured data, and reveal previously undiscovered data patterns and relationships.
In this SlideShare, we discuss:
Trends in cognitive solutions
Use cases for IBM Watson
Real-world Watson success stories
Getting started on the path to cognitive solutions
The School of Information (iSchool) at San Jose State University (SJSU) collaborated with Silicon Valley startup RedLink to develop an innovative taxonomy of academic disciplines using Synaptica KMS, a flexible and powerful enterprise solution.
"We are delighted the SJSU iSchool team chose Synaptica for their taxonomy development system. This project demonstrates how taxonomies help businesses achieve differentiation, and the benefit of academic-commercial collaboration," stated Dave Clarke, CEO of Synaptica.
Competencies and Job Assessment of Information Professionals in the 21st CenturyShirley Ingles-Cruz
This article is primarily based on the “Competencies for Information Professionals (IP) of the 21st Century” prepared for the Special Libraries Association Board of Directors which has been constantly updated and reviewed by the Special Committee on Competencies for Special Librarians.
It is a general idea as well as a comparative analysis of competencies required of IPs to have a better understanding of what is expected of them in the 21st century.