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DTSTART;TZID=Europe/Paris:20240418T140000
DTEND;TZID=Europe/Paris:20240418T150000
DTSTAMP:20260404T142046
CREATED:20240327T142925Z
LAST-MODIFIED:20240327T142929Z
UID:3933-1713448800-1713452400@worldfair-project.eu
SUMMARY:The WorldFAIR webinar series: Reusing Plant-Pollinator Datasets: a Global Perspective with Guidelines and Recommendations inspired by Pilot Studies from Africa\, the Americas and Europe.
DESCRIPTION:Times in UTC \n\n\n\n\n\nAgenda \n\n\n\nCase Study OverviewDebora DruckerFAIR data standardization strategyDebora DruckerLightning talks: Lessons learned from case study pilots pilotsAllObservations of plant-pollinator interactions in the Pampean region of Argentina\, conducted by Facultad de Agronomía – Universidad de Buenos AiresRocío Ana González-VaqueroThe Brazilian Plant-Pollinator Interactions Network (REBIPP)José Augusto SalimThe Plant-Pollinator Interaction Data Collection by the Kenya Agricultural and Livestock Research Organization (KALRO) on the African continent.Muo KasinaPilot-pollinator data from HiveTracks\, a startup that works with smallholder beekeepers across the world to crowdsource environmental data collection.Max RünzelUnited States Department of Agriculture plant-pollinator interaction prototype data and database developmentChris TaligaPlant-pollination interactions in wild ecosystems – Colecciones Biológicas from the Universidad CES and SIB ColombiaJuliana Cardona Duque Panel discussion and Q&AAll
URL:https://worldfair-project.eu/event/the-worldfair-webinar-series-reusing-plant-pollinator-datasets-a-global-perspective-with-guidelines-and-recommendations-inspired-by-pilot-studies-from-africa-the-americas-and-europe/
CATEGORIES:WorldFAIR Webinar Series
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20240422T130000
DTEND;TZID=Europe/Paris:20240422T140000
DTSTAMP:20260404T142046
CREATED:20240226T115656Z
LAST-MODIFIED:20240415T164352Z
UID:3790-1713790800-1713794400@worldfair-project.eu
SUMMARY:The WorldFAIR Webinar Series: Guidelines and Recommendations from the Case Studies on Chemistry and Nanomaterials
DESCRIPTION:Time in UTC \n\n\n\n\n\nSpeakers:  \n\n\n\nEvan Bolton: Protocol Services: Standardized programmatic access to chemical information Stuart Chalk: Training Cookbook: Digital recipes for managing chemical dataIseult Lynch: The Case Study on Nanomaterials \n\n\n\n\n\n\n\nMore about the Case Studies  \n\n\n\nChemistry  \n\n\n\nThe WP3 (FAIR Chemistry) aims to align chemistry data standards with the FAIR data principles through:  \n\n\n\n– Development of guidelines\, tools and validation services that enable scientists to share and store data in a FAIR manner; – Addressing gaps in standards that currently restrain chemistry in both academic and industrial areas\, in particular taking advantage of developments in AI/ML; – Engaging critical stakeholders in the adoption of standards and best practices to significantly increase the amount of chemical data available for all scientific disciplines. \n\n\n\nChemical substances touch on all areas of laboratory science and chemistry underlies many critical worldwide issues\, including climate\, health\, food availability and sustainable development. Increased reporting of machine-readable chemical data will support active research in chemistry and related sciences worldwide\, and will be essential to the development of the interdisciplinary science critical to address the UN Sustainable Development Goals and UNESCO’s priorities around Open Science. IUPAC is the world authority on chemical nomenclature\, terminology\, and standardized methods of measurement\, and is engaging in a concerted effort through collaboration with the broader chemistry and data science communities to translate a range of assets and activities into the digital domain. Aligning standards development and implementation with the FAIR data principles will facilitate development of guidelines\, tools and validation services that support scientists to share and store data in a FAIR manner and support the ability to compile and interpret data across scientific disciplines. \n\n\n\nThe WP3 (FAIR Chemistry) aims to align chemistry data standards with the FAIR data principles through:  \n\n\n\n– Development of guidelines\, tools and validation services that enable scientists to share and store data in a FAIR manner; – Addressing gaps in standards that currently restrain chemistry in both academic and industrial areas\, in particular taking advantage of developments in AI/ML; – Engaging critical stakeholders in the adoption of standards and best practices to significantly increase the amount of chemical data available for all scientific disciplines. \n\n\n\nChemical substances touch on all areas of laboratory science and chemistry underlies many critical worldwide issues\, including climate\, health\, food availability and sustainable development. Increased reporting of machine-readable chemical data will support active research in chemistry and related sciences worldwide\, and will be essential to the development of the interdisciplinary science critical to address the UN Sustainable Development Goals and UNESCO’s priorities around Open Science. IUPAC is the world authority on chemical nomenclature\, terminology\, and standardized methods of measurement\, and is engaging in a concerted effort through collaboration with the broader chemistry and data science communities to translate a range of assets and activities into the digital domain. Aligning standards development and implementation with the FAIR data principles will facilitate development of guidelines\, tools and validation services that support scientists to share and store data in a FAIR manner and support the ability to compile and interpret data across scientific disciplines. \n\n\n\nNanomaterials \n\n\n\nThe mapping of existing initiatives to increase the FAIRness of both nanomaterials and mixture toxicity datasets and computational approaches for toxicity and mixture assessment is a critical step towards identifying both the domain- specific features and the general features needed to maximise data and model FAIRness. \n\n\n\nBuilding on this mapping\, and the development of a FIP\, the case study will foster development and piloting of interoperability standards and guidelines for increasing FAIRness in the interlinked scientific disciplines (chemical toxicity\, nanomaterials toxicity and characterisation\, risk assessment\, advanced materials\, environmental science)\, and across the different domains. \n\n\n\nThis case study will enable the further adoption of the FAIR principles by the international nanomaterial community and encourage greater alignment with neighbouring disciplines and communities. \n\n\n\nIt builds on the partners’ successful collaboration in NanoCommons (a research infrastructure for nanoinformatics and FAIR nanomaterials data) and their leadership of the IUPAC InChI Trust efforts to develop a standard extension of the InChI for nanomaterials. \n\n\n\nIt will test the pilot operationalisation of the FAIR principles; run conference sessions and workshops with stakeholders (including the InChI-for-nano domain experts\, and international ‘nano’ database managers and their users) to apply\, refine\, implement\, improve the metrics for FAIR nanosafety datasets; and develop an inventory of FAIR nanoinformatics models and their domains of applicability\, underpinning datasets and APIs to support interoperability\, including guidelines to further improve the interoperability of nanoinformatics models. \n\n\n\nThe results will include complete human- and machine-readable nanomaterials data provenance trails that can be implemented in a straightforward way using the distributed FAIRification approach.
URL:https://worldfair-project.eu/event/the-worldfair-webinar-series-guidelines-and-recommendations-from-the-case-studies-on-chemistry-and-nanomaterials/
CATEGORIES:WorldFAIR Webinar Series
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20240501T090000
DTEND;TZID=Europe/Paris:20240501T170000
DTSTAMP:20260404T142046
CREATED:20240418T110300Z
LAST-MODIFIED:20240515T110448Z
UID:4082-1714554000-1714582800@worldfair-project.eu
SUMMARY:FAIR Data and Ethical Use of Artificial Intelligence
DESCRIPTION:Join the Department of Chemical Sciences in collaboration with The American Chemical Society\, for an enlightening workshop on “FAIR Data and Ethical Use of Artificial Intelligence” \n\n\n\nThis workshop will equip participants with the essential knowledge and tools to navigate the complex landscape of data and AI. \n\n\n\n Date: 1st May\, 2024. \n\n\n\n Time: 9am-12pm (Morning Session) \n\n\n\n2pm-5pm (Afternoon Session) \n\n\n\n Location: Lecture Theatre\, NOMOS House\, Topfaith University\, Mkpatak. \n\n\n\n Registration: rb.gy/77oooo
URL:https://worldfair-project.eu/event/4082/
CATEGORIES:Other events
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20240508T100000
DTEND;TZID=Europe/Paris:20240508T110000
DTSTAMP:20260404T142046
CREATED:20240314T183049Z
LAST-MODIFIED:20240507T151903Z
UID:3891-1715162400-1715166000@worldfair-project.eu
SUMMARY:WorldFAIR Output Webinar Series: Final meeting of the Cultural Heritage and Social Surveys
DESCRIPTION:Times in UTC \n\n\n\n\n\nJoin us for the final meeting of the Cultural Heritage and Social Surveys case studies and discuss their latest reports (Social Sciences) Pilot implementation of guidelines with ESS and AUSSI-ESS datasets & Final Report on Cultural Heritage FAIR sharing (coming soon).  \n\n\n\nSpeakers: Steven McEachern (WP6)\, Beth Knazook (WP13) \n\n\n\n\n\n\n\nAbout the case study on Social Surveys \n\n\n\nComparative studies in social science are relatively well-established\, with strong traditions of sharing data across countries to establish multi-national comparative data sets for studying cultural\, social and political variations in attitudes and institutions. The EU-funded European Social Survey has regularly conducted cross-national surveys of social attitudes of the European population since 2002. \n\n\n\nMore recently\, the ESS has been partnering with a number of researchers outside the EU to establish satellite studies of the ESS in Australia\, Japan and South Africa. The extension of practices to these countries provide a new opportunity to compare and harmonise practices and technologies\, focusing on Interoperability and Reusability. \n\n\n\nThis case study undertakes a comparative study of the data management\, harmonization and integration practices of one of the satellite countries – Australia\, through the AUSSI-ESS – and the core ESS\, an ERIC social science infrastructure. It leverages the DDI metadata standards to understand how such multi-national collections could be made increasingly interoperable and reusable through shared procedural and technical development\, and establish a set of guidelines and tools for the development of cross-national collections into the future. \n\n\n\n\n\n\n\nAbout the case study on Cultural Heritage \n\n\n\nCultural Heritage collections in Galleries\, Libraries\, Archives and Museums (GLAMs) provide the input for research in a range of disciplines. Online digital image sharing practices and policies established by leading institutions and professional bodies charged with providing care and access to cultural memory are well established\, but serve to support accessibility and interpretability\, and not specifically interoperability or reusability as data for the research process. This case study looks at how GLAM practices that support image sharing can be brought into closer alignment with the FAIR principles for research data to support a growing need for cultural heritage data.  \n\n\n\nSeveral global image-sharing communities/platforms exist online and these communities provide large (but not very FAIR) datasets and crucial networks for coordination. \n\n\n\nThe sharing of visual sources in particular has challenges around copyright\, but also increasingly around what is being represented by the images and their associated metadata (i.e. surrogate vs original) as the sector undergoes a paradigm shift to consider its Collections as Data. The GLAMs have many well-established metadata standards and vocabularies\, and persistent identifiers also exist\, however compared to the output of the other research disciplines being examined as part of the WorldFAIR project\, GLAMs specifically\, and Humanities disciplines more generally\, have comparatively less-developed data sharing cultures.The Digital Repository of Ireland\, a CTS-certified repository for arts\, humanities and social sciences (AHSS) data\, has played a leading role in aligning the work of the cultural heritage sector with FAIR (see the DRI’s position statement on FAIR and Open Science). Through this case study\, the DRI will produce a mapping report of existing policies and practices that support image sharing across diverse collecting institutions\, develop a set of broadly applicable recommendations for shifting these practices into closer alignment with FAIR\, and implement the recommendations at the Repository. Establishing FAIR practices in the GLAM sector would have a very significant effect on the sharing of cultural heritage data\, and on the research data management practices across the arts\, humanities and social sciences disciplines\, making this case study itself multidisciplinary and multisectoral.
URL:https://worldfair-project.eu/event/worldfair-output-webinar-series-final-meeting-of-the-cultural-heritage-and-social-surveys/
CATEGORIES:WorldFAIR Webinar Series
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20240514T183000
DTEND;TZID=Europe/Paris:20240514T200000
DTSTAMP:20260404T142046
CREATED:20240507T181804Z
LAST-MODIFIED:20240507T182421Z
UID:4048-1715711400-1715716800@worldfair-project.eu
SUMMARY:Treating Your Data FAIRly and with CARE: a Conversation About Data Efforts atDrexel\, Philadelphia\, and Beyond
DESCRIPTION:Times in UTC \n\n\n\nExplore local and international efforts to make data more accessible and usable\, while acknowledging the  complexities created by considerations of data ownership\, stewardship and provenance. We will havetwo round tables with time for Q&A. Light appetizers will be served. Everyone is welcome! \n\n\n\nSpeakers:  \n\n\n\n\nTheresa Dirndofer Anderson\, PhD\n\n\n\nRan Li\, MS\n\n\n\nMatt Jannetti\, MS\n\n\n\nKari Moore\, MS\n\n\n\nMegan Todd\, PhD (PhiladelphiaDepartment of Public Health)\n\n\n\nAmy Carroll-Scott\, PhD\, MPH\n\n\n\nAna Ortigoza\, MD\, PhD\, MPH\, MS(Pan American Health Organization)\n\n\n\n\n\n\n\nTo register for the presentation taking place on May 15th\, please visit this page.
URL:https://worldfair-project.eu/event/treating-your-data-fairly-and-with-care-a-conversation-about-data-efforts-atdrexel-philadelphia-and-beyond/
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20240515T070000
DTEND;TZID=Europe/Paris:20240515T083000
DTSTAMP:20260404T142046
CREATED:20240401T110752Z
LAST-MODIFIED:20240515T111604Z
UID:4087-1715756400-1715761800@worldfair-project.eu
SUMMARY:Kickoff of Harmonised terminologies and schemas for FAIR data in materials science and related domains Working Group
DESCRIPTION:Meeting objectives:  \n\n\n\n\nSpread awareness about the group and the broader landscape of materials data\n\n\n\nShare their knowledge/awareness of existing resources (including semantic artefacts\, services and best practices) – Stream A objective \n\n\n\nDiscuss consensus classifications and FAIR maturity indicators – Stream A & B objectives  \n\n\n\n\nBrief introduction describing the activities and scope of the group:  \n\n\n\nThe focus of the WG is on increasing uptake of the FAIR Principles in materials research (in particular in connection with Interoperability and Reusability)\, supported by improved resources\, in particular widely-agreed and FAIR terminologies\, metadata and ontologies. While the main focus of the WG is in the material sciences\, close interactions with cognate domains\, in particular chemistry\, are crucial in order to avoid conflicting approaches and also to utilise and integrate with already existing semantic artefacts and resources in these fields. \n\n\n\nThe group brings together activities and initiatives related to FAIR data in materials domains from many European countries\, EU project\, and initiatives in the US\, Korea and Japan. There are currently 34 members registered via the RDA site.
URL:https://worldfair-project.eu/event/kickoff-of-harmonised-terminologies-and-schemas-for-fair-data-in-materials-science-and-related-domains-working-group/
CATEGORIES:Other events
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20240515T150000
DTEND;TZID=Europe/Paris:20240515T160000
DTSTAMP:20260404T142046
CREATED:20240507T182308Z
LAST-MODIFIED:20240507T182310Z
UID:4054-1715785200-1715788800@worldfair-project.eu
SUMMARY:Making Data Matter: Applying AITechnologies for Community Benefit with AIEthicist Theresa Dirndorfer Anderson\, PhD.
DESCRIPTION:Times in UTC \n\n\n\n\n\n\n\n\n\nTo register for the presentation taking place on May 14th\, please visit this page.
URL:https://worldfair-project.eu/event/making-data-matter-applying-aitechnologies-for-community-benefit-with-aiethicist-theresa-dirndorfer-anderson-phd/
CATEGORIES:WorldFAIR events,WorldFAIR Webinar Series
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20240520T080000
DTEND;TZID=Europe/Paris:20240520T090000
DTSTAMP:20260404T142046
CREATED:20240415T134534Z
LAST-MODIFIED:20240415T165048Z
UID:3951-1716192000-1716195600@worldfair-project.eu
SUMMARY:The WorldFAIR Webinar Series: Guidelines and Recommendations from the Case Studies on Geochemistry and Disaster Risk Reduction
DESCRIPTION:Times in UTC \n\n\nRegister here\n\nThis webinar will present the activities\, guidelines and recommendations from the WorldFAIR case studies on Geochemistry and Disaster Risk reduction. \n\nMore about the case study on Geochemistry \n\nThe WorldFAIR Geochemistry Work Package (WP) 05 is about bringing the diverse international Geochemistry community together and creating a global network of key geochemical data infrastructures. Through the formalisation of the OneGeochemistry initiative\, generation of FAIR Implementation Profiles (FIPs) and community engagement this work package supports knowledge sharing of best practices and standardisation of geochemical data\, enabling researchers to use and reuse data in large scale (big data) research and cross disciplinary studies. \n\nPublished reports: \n\n\n\nFormalisation of OneGeochemistry\n\n\n\nWorldFAIR Geochemistry Methodology and Outreach\n\n\n\nWorldFAIR Guidelines for implementing Geochemistry FIPs \n\n\n\n\n\n\n\nMore about the case study on Disaster Risk Reduction.  \n\nThe global Disaster Risk Reduction community is a diverse group of people and organisations encompassing NGOs\, governmental bodies\, academic researchers\, practitioners\, and institutions actively engaged in mitigating disaster risks and fortifying resilience. The objective is to enhance the safety of people\, assets\, and the environment by reducing vulnerabilities to natural hazards. The community believes that local solutions are superior to top-down expert-led solutions but these localised\, grassroots solutions has led to a variety of data formats\, terminologies\, and analysis techniques\, unique and specific to different regions. This case study aims to describe this plethora of detailed\, locally specific data and linguistic variants and find ways to unify them. We envision it as a significant step towards the creation of a communal language and mutual understanding within the DRR arena.The ability of DRR community members to better share data\, terms\, and solutions should lead to a more global understanding on the current state of DRR\, lead to better solutions\, and ultimately save lives. \n\nPublished reports: \n\n\n\nDisaster Risk Reduction Case study report\n\n\n\nDisaster Risk Reduction Domain-specific FAIR vocabularies
URL:https://worldfair-project.eu/event/the-worldfair-webinar-series-guidelines-and-recommendations-from-the-case-studies-on-geochemistry-and-disaster-risk-reduction/
CATEGORIES:WorldFAIR events,WorldFAIR Webinar Series
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20240521T140000
DTEND;TZID=Europe/Paris:20240521T153000
DTSTAMP:20260404T142046
CREATED:20240515T112159Z
LAST-MODIFIED:20240515T112227Z
UID:4092-1716300000-1716305400@worldfair-project.eu
SUMMARY:Addressing agricultural data ethics\, agrisemantics and AI
DESCRIPTION:Meeting objectives:  \n\n\n\nIncrease awareness of the RDA IGAD Community of Practice\, recruit participants and get input on workplan for a new Working Group on the Ethics in Agricultural Data\, and decide if there is interest in any other new working groups\, such as how to support the use of Agrisemantics in AI systems. \n\n\n\nMeeting agenda:  \n\n\n\nIntroduction (5 min)  \n\n\n\nUpdates from the communities (5 minutes) \n\n\n\n\nIGAD annual meeting\n\n\n\nWorldFAIR project\n\n\n\n\nEthics in Agricultural Research Data working group update (20 minutes) Alan Moss (USDA ARS) \n\n\n\nAgrisemantics for Artificial Intelligence (60 minutes)  \n\n\n\n\nFilipi Miranda Soares (University of São Paulo) – “Applying Large Language Models in Ontology Design: a use case with the Agricultural Product Types Ontology”\n\n\n\nJennifer Woodward-Greene (USDA) – “NALT for the Machine Age: Cultivating a Semantic System for Data Interoperability”\n\n\n\nRaul Palma (PSNC) “Semantic interoperability in agriculture data spaces”\n\n\n\nDiscussion on new working group\n\n\n\n\nTarget Audience:  \n\n\n\nExperts and interested individuals on: agricultural data and semantics\, ethics\, artificial intelligence. \n\n\n\nBrief introduction describing the activities and scope of the group:  \n\n\n\nIGAD is a domain-oriented interest group working on all issues related to food and agricultural data. It represents stakeholders in managing data for food and agricultural research and innovation\, including producing\, aggregating and consuming data. \n\n\n\nBeyond this\, IGAD promotes good practices and RDA Recommendations in the research domain\, including data sharing policies\, data management plans\, and data interoperability. As a forum for sharing experiences and providing visibility to research and work in food and agricultural data\, IGAD has become a space for networking and blending ideas related to data management and interoperability. It also provides fertile ground to reach out and promote projects among other international organizations and institutions working in food and agricultural research and innovation.
URL:https://worldfair-project.eu/event/addressing-agricultural-data-ethics-agrisemantics-and-ai/
CATEGORIES:Other events
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20240522T120000
DTEND;TZID=Europe/Paris:20240523T120000
DTSTAMP:20260404T142046
CREATED:20240412T164301Z
LAST-MODIFIED:20240415T153208Z
UID:3944-1716379200-1716465600@worldfair-project.eu
SUMMARY:The WorldFAIR Project: The journey so far and next steps
DESCRIPTION:22 May 2024\, 12:00 – 14:00 UTC \n\n\n\n23 May 2024\, 12:00 – 14:00 UTC \n\n\nRegister here\n\n\nThis special double session co-located with the RDA Virtual Plenary 22 is designed to show case the outputs from the WorldFAIR project and to discuss next steps. The event is open to all; you do not need to be a member of the WorldFAIR consortium to join.  \n\n\n\nWorldFAIR has a number of distinctive features that are worthy of attention and will be of interest to the RDA community.  WorldFAIR is a two-year European Commission funded project to advance the implementation of the FAIR principles.  Coordinated by CODATA and with the RDA as an important partner\, WorldFAIR has the distinction of being a genuinely global project and – thanks to special EC rules – has funded partners from around the world.   \n\n\n\nThe core of the WorldFAIR project are the 11 case studies\, which represent a wide range of sciences\, communities and challenges\, with global geographical coverage. These were identified from groups active in CODATA\, RDA or both.  Among the partners in these case studies are number of organisations that play an important role in articulating and agreeing metadata and terminology standards for researchers in various domains. The first session will explore the outputs from these case studies and in particular the recommendations made.  A selection of the Case Studies will describe their work\, their experience of using FIPs and will articulate key recommendations for the use of metadata standards and terminologies and structured around the most important themes and issues encountered. \n\n\n\nThe second session will focus on one of the key outputs of WorldFAIR: the Cross-Domain Interoperability Framework (CDIF). CDIF provides a set of guidelines and practice for using domain-agnostic standards to support the interoperability and reusability of FAIR data\, especially across domain and institutional boundaries.  CDIF has been developed based on input from WorldFAIR’s 11 case studies\, including their FIPs\, a series of dedicated meetings\, and the participation of all the case studies in two successive workshops hosted at the Leibniz Foundation’s Dagstuhl Centre. Thirty invited experts have participated in drafting the CDIF guidelines\, including members of many related FAIR initiatives and standards bodies\, and has therefore\, drawn on significant expertise both within and outside the WorldFAIR project.  This session will present the key CDIF ‘modules’ which cover the most important functional areas for using data across domains: discovery\, integration\, controlled vocabularies and mappings\, provenance and process description\, temporal and spatial description\, etc.   \n\n\n\nBoth sessions will invite feedback and discuss activities to continuing this work beyond the lifetime of the EC funded project under the banner of WorldFAIR+
URL:https://worldfair-project.eu/event/the-worldfair-project-the-journey-so-far-and-next-steps/
CATEGORIES:WorldFAIR events
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20240530T120000
DTEND;TZID=Europe/Paris:20240530T130000
DTSTAMP:20260404T142046
CREATED:20240415T144925Z
LAST-MODIFIED:20240415T145933Z
UID:3961-1717070400-1717074000@worldfair-project.eu
SUMMARY:The WorldFAIR Webinar Series: Guidelines and Recommendations from the Case Study on Population Health
DESCRIPTION:Register here\n\n\nTimes in UTC \n\n\n\nThis final webinar from the WorldFAIR case study on Population Health will present the final published report WorldFAIR Population health resource library and training package (D7.2).  \n\n\n\n\n\n\n\nMore about the Case Study on Population Health  \n\n\n\nThe Implementation Network for Sharing Population Information from Research Entities (INSPIRE) project is assembling technologies and standards in support of a data hub that facilitates federated and/or shared research capable of interoperating across often-neglected low-resource settings: it aims to provide a platform-as-a-service\, which can make data of disparate types available to many different styles of analysis\, among which AI systems are increasingly prominent. \n\n\n\nINSPIRE uses OMOP\, a common data model that is becoming the gold standard for systematically integrating health data from disparate sources and conducting observational research at scale using routine clinical care data. However\, OMOP is not completely FAIR29 and further work is needed to improve the ability to integrate diverse sources of data. \n\n\n\nThis case study team will improve the interoperation of OMOP with other standards to enable machine-actionable descriptions of data structure and provenance (e.g.\, DDI-CDI\, PROV-O\, SDTL); the composition of measurements focused on the objects of research (e.g.\, I-ADOPT); record linkage modeling for creating and evaluating bridges that connect domains\, vocabularies (e.g.\, SKOS); and data discovery (e.g.\, Schema.org\, DCAT). This suite of standards forms the basis of an ‘AI-Ready’ description of data suitable for use across domain and institutional boundaries.
URL:https://worldfair-project.eu/event/the-worldfair-webinar-series-guidelines-and-recommendations-from-the-case-study-on-population-health/
CATEGORIES:WorldFAIR Webinar Series
ATTACH;FMTTYPE=image/png:https://worldfair-project.eu/wp-content/uploads/2023/07/petals_logos.2.0-01.png
END:VEVENT
END:VCALENDAR