Pistoia alliance debates webinar series – pistoia alliance gas nozzle icon

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Linked Data Knowledge Graphs as Resource Description Framework (RDF) offer many potential solutions. Linked Data promises end-to-end modeling of the clinical trial process, semantic search, integrated metadata and rules, standards-independent data structures, and a flexible, multi-dimensional schema. The challenge is in implementing this technology in a traditionally conservative, risk-averse culture. This talk presents an overview of the philosophy and ongoing work of the PhUSE project "Clinical Trials Results as Resource Description Framework." The team is converting data from the CDISC Study Data Tabulation Model (SDTM) to graph data using an ontology-based approach. The wider implications of this work will be discussed, along with deployment strategies within and beyond the industry.

Tim Williams is a co-lead of the PhUSE project "Clinical Trials Data as RDF", an instructor for "Linked Data for Clinical Trials: A Hands-on Workshop", and a member of the Steering Committee for the PhUSE Computational Science Symposium. dynamic electricity examples Tim has been involved with Linked Data since 2013 and is currently employed by UCB Biosciences as a Principal Statistical Systems Analyst in Raleigh, North Carolina.

Prof. Wolfgang Prinz, PhD studied informatics at the University of Bonn and received his PhD in computer science from the University of Nottingham. gas relief for babies home remedy He is vice chair of Fraunhofer FIT in Bonn, division manager of the collaboration systems research department in FIT, and Professor for cooperation systems at RWTH Aachen. His research department at FIT is addressing the challenges and potentials of digitization offered by new cooperation platforms in combination with mixed reality and flexible communication infrastructure as well as the investigation of application areas such as mobility and digital energy. In the context of the Fraunhofer FIT Blockchain Lab, Wolfgang Prinz investigates the technical foundations as well as the development and analysis of blockchain based applications. https://www.fit.fraunhofer.de/en/wolfgang-prinz.html

Wolfgang Gräther is a senior researcher at Fraunhofer FIT, the Institute for Applied Information Technology of the Fraunhofer-Gesellschaft. He has worked in several national and EU research projects as well as industrial contract research. z gas el salvador Currently he is a project manager of the Blockchain for Education project. His expertise spans cooperation systems, social media, design thinking and blockchain technology.

The 15 FAIR Principles have found unusually rapid uptake among a broad spectrum of stakeholders, from research scientists who make data, to publishers who distribute data, to science funders who track impact of data. Erik will describe the FAIR Principles and show examples of how they have been implemented. Erik will also present a set of core FAIR Metrics that can help gauge the level of FAIRness of any digital resource. Of particular interest is how additional FAIR Metrics can (and should) be defined to address community-specific data structures and analytic requirements. This discussion, and these examples will be presented in the context of the International GO FAIR Initiative. electricity worksheets grade 9 GO FAIR is a voluntary community of stakeholders devoted to implementation solutions of an emerging Internet of FAIR Data and Services.

Erik Schultes is an evolutionary biologist with a long standing interest in data-intensive research questions. Erik has been affiliated with the University of California, Los Angeles; The Whitehead Institute for Biomedical Research (MIT); The Santa Fe Institute; Duke University Medical Centre and Department of Computer Science. Erik currently holds a visiting researcher appointment in the Human Genetics Department, Leiden University Medical Center. In recent years, Erik has been working with a diverse community of stakeholders to develop FAIR data and services both within, and outside, the life sciences. https://orcid.org/0000-0001- 8888-635X .

The capture and management of Real World Data – and it subsequent analysis to create Real World Evidence – is an important capability of the biopharmaceutical industry. d cypha electricity futures The increase in the number and the influence of Health Technology Assessment Agencies – with their brief to understand the value of medical therapies and to recommend or not for their inclusion in the pharmacopeias – ensures that the industry increasingly needs to provide Real World Evidence to support their claims about the value of their drugs.

But more than this, Real World Data – including Genomic Data – could be exploited to inform clinical trial strategy – to provide better understanding of patient cohorts – improved inclusion / exclusion criteria – all contributing to fewer and more robust clinical trials with fewer patients. Furthermore, such RWD might be exploited to inform drug discovery with better correlations between genotype and phenotype and better understanding of the mechanisms of drugs of particular classes on disease pathways.

The Life Sciences face increasing volumes, variety and sources of data. In addition, there is a pressing need for better integration of data. Despite these needs data standards remain poorly defined and even when present, can often be overlooked or ignored. Ontologies are an important solution because they serve as the “smart glue” for data integration to semantically enable management of knowledge. This is hampered by multiple standards and many varying ontologies which overlap in the same data domain such as disease and phenotype. In response to these challenges we set up the Ontologies Mapping project in 2015 to support better tools, services and best practices for ontology management and mapping in the Life Sciences.

This webinar will bring together a panel of experts in the ontologies engineering field from Industry and Academia. It will be chaired by Ian Harrow (Consultant and Manager for the Pistoia OM project) and includes two more members of the OM project team:- Martin Romacker (Roche) and Yasmin Alam-Faruque (Eagle Genomics). electricity video bill nye Further panel members will be Simon Jupp (EMBL-EBI) and Lee Harland (SciBite).

Within the PhUSE Computational Science Collaboration (a collaborative initiative including PhUSE, pharma, SDOs and regulatory agencies), the Emerging Trends and Technologies Working Group has formulated a framework to enable life sciences organisations to address and overcome real or perceived barriers to the adoption of cloud-based technology solutions in the GxP-regulated spaces.

Our framework outlines approaches for our industry that leverage existing ISO and NIST standards and, above all, illustrates the multiple operational models that are a) possible, b) practical, c) beneficial, and d) compliant with appropriate regulatory predicate rules and security standards. Our discussions will provide a brief outline of the framework and an opportunity to get the panelists’ views on particular thoughts and challenges for yourselves and/or within your organisations.

Our framework outlines approaches for our industry that leverage existing ISO and NIST standards and, above all, illustrates the multiple operational models that are a) possible, b) practical, c) beneficial, and d) compliant with appropriate regulatory predicate rules and security standards. Our discussions will provide a brief outline of the framework and an opportunity to get the panelists’ views on particular thoughts and challenges for yourselves and/or within your organisations.