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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20231206T090000
DTEND;TZID=Europe/Paris:20231206T100000
DTSTAMP:20260404T211618
CREATED:20230621T112848Z
LAST-MODIFIED:20231130T153218Z
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SUMMARY:WorldFAIR Output Webinar Series: Guidelines & Recommendations from Cultural Heritage and Social Surveys
DESCRIPTION:The following reports will be presented in this webinar: \n\n\n\nCross-national Social Sciences survey best practice guidelines \n\n\n\nA proposed workflow for the processing of data harmonisation of social surveys\, that takes account of the practical steps required to bring diverse content together in a machine-actionable way\, and that could best take advantage of external registered\, persistent content. This workflow considers the core steps involved in the harmonisation process\, key issues that occur in the processing of data during this process\, and potential resolutions of these issues. These resolutions are all oriented towards improving FAIR practices in the harmonisation process – through the use of reusable\, accessible metadata structures that can both improve processing consistency for current projects\, and be applied to future harmonisation projects \n\n\n\nCultural Heritage image sharing recommendations report \n\n\n\nThis report builds on our understanding of what it means to support FAIR in the sharing of image data derived from GLAM collections. This report looks at previous efforts by the sector towards FAIR alignment and presents 5 recommendations designed to be implemented and tested at the DRI that are also broadly applicable to the work of the GLAMs. \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. \n\n\n\n\n\n\n\nYou can also watch the recording of the first webinar by Work Packages 6 and 13 below.
URL:https://worldfair-project.eu/event/worldfair-output-webinar-series-overview-of-the-projects-first-round-of-disciplinary-reports-cultural-heritage-and-social-surveys-updates-v2/
CATEGORIES:WorldFAIR Webinar Series
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20231201T130000
DTEND;TZID=Europe/Paris:20231201T140000
DTSTAMP:20260404T211618
CREATED:20231130T124808Z
LAST-MODIFIED:20231130T125053Z
UID:3642-1701435600-1701439200@worldfair-project.eu
SUMMARY:HMC FAIR Friday: The WorldFAIR project with Dr. Simon Hodson & Dr. Arofan Gregory
DESCRIPTION:Date: Friday\, 1 December 2023\, 13:00 CEST \n\n\n\nSpeakers: Dr. Simon Hodson & Dr. Arofan Gregory \n\n\n\nThe next lecture will take place on 1 December 2023 at 13:00 CEST featuring Dr Simon Hodson (Executive Director of CODATA) and Dr Arofan Greogry (Chair of the DDI Cross-Domain Integration working group) who introduce us to the objectives of the WorldFAIR project led by CODATA and RDA. The WorldFAIR project is working with several case studies to promote the implementation of the FAIR principles and espacially to improve the interoperability and reusability of digital research objects. During the presentation\, special attention will be paid to the interoperability framework that is being developed for each use case. \n\n\n\nTo stimulate and support interdisciplinary exchange\, the Helmholtz Metadata Collaboration (HMC) in close cooperation with the Helmholtz Information & Data Science Academy (HIDA) is organizing the HMC FAIR Friday lecture series. It is aimed at experienced actors in research data management as well as scientists from all research fields of the Helmholtz Association and beyond. \n\n\n\nHMC FAIR Friday features talks by high-ranking national and international speakers to bring all participants (even) closer to the world of FAIR data\, deepen individual aspects and stimulate discussions.
URL:https://worldfair-project.eu/event/hmc-fair-friday-the-worldfair-project-with-dr-simon-hodson-dr-arofan-gregory/
CATEGORIES:Other events
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20231115T200000
DTEND;TZID=Europe/Paris:20231115T210000
DTSTAMP:20260404T211618
CREATED:20230620T111812Z
LAST-MODIFIED:20231113T121639Z
UID:2758-1700078400-1700082000@worldfair-project.eu
SUMMARY:WorldFAIR Output Webinar Series: Overview of the projects first round of disciplinary reports: Disaster Risk Reduction Updates
DESCRIPTION:This webinar will present the following deliverables completed by WP12: \n\n\n\n– Disaster Risk Reduction Case study report (12.1) \n\n\n\nThis report describes the types of data used for disaster risk reduction (DRR) and provides two country case studies\, for Fiji and Sudan\, with an in-depth look at the DRR datasets and associated metadata used by each country. These datasets were assessed against 15 FAIR (Findable\, Accessible\, Interoperable\, Reusable) data metrics to identify which elements of FAIR were met. The report also provides a broader context giving details on the national\, regional\, and global agencies providing or hosting DRR data as well as initiatives aiming to increase the FAIRness of DRR data.  \n\n\n\nBoth of our case study countries are using remote sensing data which were assessed as having the richest metadata and met most of the FAIR metrics used in the assessment. Strategies for exploiting this data are discussed as they have great potential to provide up to date information during an emergency and to fill gaps in DRR data.    \n\n\n\nAn essential task for any scientific discipline is the establishment of common standards and terminologies. Historically\, standards have differed considerably with agencies creating standards and vocabularies based on their own use cases and priorities; consequently\, there is currently no universal standard used by all DRR practitioners. We discuss the most widely used standard definitions and provide suggestions for harmonising standards. As both the United National Nations Office for Disaster Risk Reduction (UNDRR) and the World Meteorological Organisation (WMO) have been working toward improving the FAIRness and consistency of DRR data\, we describe their efforts and outline their lessons learned and recommendations. Our next deliverable\, which discusses metadata standards\, controlled vocabularies\, and ontologies\, will add to this discussion.  \n\n\n\nWhile the current report focuses entirely on the DRR research area\, DRR research is interdisciplinary by nature\, encompassing researchers from earth sciences\, climate change and environmental sciences\, social studies\, cultural information\, and others. A key recommendation from the UNDRR is that there should be interdisciplinary collaboration when setting standards and definitions; therefore\, increasing FAIRness in DRR has the potential to increase FAIRness across many related disciplines.  \n\n\n\nThe study found that the data used by Fiji and Sudan for DRR is missing many key FAIR data elements. Hazard data tended to score highest for FAIRness\, particularly hazard data originating from satellites. In contrast\, vulnerability and exposure data were the least FAIR with little metadata and limited machine readability. However\, there are some excellent regional and global initiatives aimed at increasing the level of FAIRness in DRR data. The UNDRR is currently reinventing its DRR database to provide a much more coherent and consistent view of the state of DRR both globally and nationally. We applaud this project and believe that significant effort should be made by the global and regional agencies to work together to provide standards\, controlled vocabularies\, data distribution platforms\, resources and guidance for all people working to reduce the impact of disasters. \n\n\n\n– Disaster Risk Reduction Domain-specific FAIR vocabularies (12.2) \n\n\n\nDisasters are inherently complex with wide-ranging and cascading impacts. The exponential growth in data generated daily\, coupled with the complex nature of disasters\, means we are hitting the limits of humans’ capacity to fully exploit all the data available for disaster risk reduction (DRR). This can be addressed with well-designed\, pretrained Artificial Intelligence (AI) algorithms that can analyse large\, complex datasets and fuse heterogeneous data. However\, machine-readable\, semantically linked data is a precursor for the use of AI in DRR.  \n\n\n\nNations possessing ample resources and technical proficiency are better positioned to leverage DRR data effectively\, thereby potentially creating disparities in the accessibility and application of DRR data. Recent advances in technology – particularly remote sensing data\, which is income-agnostic and provides global coverage – provide an opportunity to reduce DRR data gaps. Global DRR institutions should collaborate proactively with countries and regional institutions to ensure the provision of Findable\, Accessible\, Interoperable\, and Reusable (FAIR) and open DRR data. This could help bridge any historical or emergent DRR data inequalities. \n\n\n\nThis deliverable explores the use of vocabularies in the DRR domain and how controlled vocabularies coupled with ontologies can enhance the semantic value of DRR data thereby improving interoperability. Enhancing semantic interoperability would result in improved collaboration and communication within the DRR domain and facilitate collaborations with other scientific domains. The final sections of this report provide examples of the use of remote sensing data and AI for DRR. We hope that the ideas and suggested actions in this report can be used to transform raw DRR data to valuable insights and decisions that produce tangible reductions in the impact of disasters worldwide.Speakers: Jill Bolland\, Bapon Fakhruddin T+T (WP12)
URL:https://worldfair-project.eu/event/worldfair-output-webinar-series-overview-of-the-projects-first-round-of-disciplinary-reports-disaster-risk-reduction-updates/
CATEGORIES:WorldFAIR Webinar Series
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20231108T120000
DTEND;TZID=Europe/Paris:20231108T130000
DTSTAMP:20260404T211618
CREATED:20230620T111642Z
LAST-MODIFIED:20231103T142731Z
UID:2756-1699444800-1699448400@worldfair-project.eu
SUMMARY:The WorldFAIR Webinar Series: Guidelines and Recommendations from Population Health and Urban Health
DESCRIPTION:Time in UTC \n\n\n\nThis webinar\, part of the WorldFAIR series presenting project outputs\, will discuss the published deliverables of the WorldFAIR Case studies in Population Health and Urban Health.  \n\n\n\nAgenda:  \n\n\n\nWelcome to the WorldFAIR webinar seriesAlex Delipalta\, (RDA Europe)Implementation Guidelines for Annotating Population Health Research DataJim Todd (LSHM)\, Keith Tomlin\, (LSHM)Urban Health Data Mapping and Assessment: Guidelines and RecommendationsAna Ortigoza (Drexel University)Ran Li (Drexel University)Panel DiscussionJim Todd (LSHM)\, Keith Tomlin\, (LSHM)\, Ana Ortigoza (Drexel University)\, Ran Li (Drexel University)\, Bilal Usama (Drexel University)Audience Q&A\n\n\n\n\n\nAbout 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 FAIR and further work is needed to improve the ability to integrate diverse sources of data. \n\n\n\nThis case study works on improving 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. \n\n\n\nAbout the case study on Urban Health \n\n\n\nCities are considered the primary contributors to global environmental change and human development\, being at the centre of leading mitigation and adaptation strategies that could promote human health along with environmental sustainability. Given the transdisciplinary approach of Urban Health\, challenges faced within this field are also common to other areas and consequently\, solutions proposed from the Urban Health perspective could also promote advancement beyond its discipline. \n\n\n\nThe SALURBAL project (Urban Health for Latin American cities) is a five-year project based at the Urban Health Collaborative\, Drexel University\, and with partners throughout Latin America and in the United States that studies how urban environments and urban policies impact the health of residents from almost 370 cities in 11 Latin American countries.  \n\n\n\nThe SALURBAL project 1) has systematized a process for city definition and operationalization that integrates multiple ways in which a city can be delimited; 2) has created a data structure that allowed the incorporation of data from different sources\, making it shareable across several cores and disciplines; and 3) has developed procedures and standards that systematically documented issues related to data access\, quality\, and completeness during the process of data harmonization.The case study will explore and further refine this approach to provide recommendations for urban health data that reflect the FAIR and CARE principles and contribute to promote best practices in data sharing and use within and beyond the Urban Health field.
URL:https://worldfair-project.eu/event/worldfair-output-webinar-series-overview-of-the-projects-first-round-of-disciplinary-reports-updates-from-population-health-and-urban-health/
CATEGORIES:WorldFAIR Webinar Series
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BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20231026T120000
DTEND;TZID=Europe/Paris:20231026T133000
DTSTAMP:20260404T211618
CREATED:20231005T123624Z
LAST-MODIFIED:20231005T123626Z
UID:3487-1698321600-1698327000@worldfair-project.eu
SUMMARY:Describing Chemical\, Physical and Biological samples digitally: Seeking harmonization (Part of IDW2023/RDAP21)
DESCRIPTION:Times in UTC  \n\n\n\nMeeting objectives:  \n\n\n\nSamples are taken in every field of study\, but they vary widely in terms of type\, e.g.\, single crystals\, powder\, complex structures\, proteins and other biological (macro)molecules\, cells\, tissues\, organisms\, archeological artifacts\, fossils\, artwork\, etc. Different fields may categorize samples from multiple perspectives simultaneously (e.g.\, nanomaterials are considered both physical particles and molecular entities\, proteins are molecular entities of biological origin). Samples may consist of multiple components\, in multiple phases; samples may represent collections of multiple entities\, or single entities.  \n\n\n\nThe sampling scheme is a critical aspect of designing any experiment to yield informative and reproducible results. A number of factors around sample collection\, storage and processing are relevant for interpretation of measurement data derived from those samples. Different samples may be collected for different purposes: for example\, biological specimens (or parts of specimens such as leaf for plants and tissue for animals)\, soil\, and even air samples. Samples may be dependent on conditions of handling and storage (e.g.\, humidity\, temperature)\, and may also be subject to further processing workflows (e.g.\, dispersion\, mixing\, plating\, staining etc.). Samples may have spatial\, temporal or other relationships that need to be articulated. A macro sample may be collected\, with subsequent subsamples taken at increasing granularity down to the nanoscale\, and multiple series of parent-child relationships need to be documented.  \n\n\n\nThere are many well developed identifiers and other semantic descriptions used to describe different facets of sample provenance. A few cross-domain community endorsed examples include  ISO 19156: 2013 Observations\, Measurements and Samples and the W3C/OGC Semantic Sensor Network Ontology which includes the core SOSA (Sensor\, Observation\, Sample\, and Actuator) Ontology for its elementary classes and properties. Other more domain specific approaches include iSamples  and the Global Biodiversity Information Facility (GBIF). How widely known and used are these existing cross domain ontologies and models? New international cross-domain ontologies are being published\, as well as community driven ontologies\, such as in earth sciences and biodiversity; how can we adapt these to be suitable for additional disciplines?  \n\n\n\nThe ability to compile data from disparate disciplines will greatly facilitate the opportunity to answer broader\, global challenges. Harmonization of sample descriptions will also facilitate the workflow of instrument facilities that apply physical measurement techniques to extremely diverse sample types and need to meet a broad range of user needs for documentation. This session brings together a variety of disciplines including geochemistry\, biodiversity\, nanomaterials\, analytical chemistry\, and crystallography\, among others\, to explore approaches to harmonization around sample description and provenance. \n\n\n\nThe expected outcomes of this discussion will be to: \n\n\n\n\nCompile a list of needs for describing sample types\, origin\, processing workflows and other requirements across disciplines  \n\n\n\nIdentify existing identifiers\, classifications\, ontologies and terminologies that support these descriptions \n\n\n\nOutline a proposal for an RDA Working Group project to develop best practices for sample data model specifications \n\n\n\n\nMeeting agenda:  \n\n\n\nWe intend spending half of the session sharing perspectives and half identifying what the wider community needs are\, what may already exist to help address these and further action required. \n\n\n\n(40 Min)  Fllash talks: Show examples of samples in speaker’s field and demonstrate challenges around describing them) \n\n\n\n\nKerstin Lehnert (PSIG – IGSN)\n\n\n\nDebora Pignatari Drucker (WP10 – IGAD CoP)\n\n\n\nAlexander Prent (WP05 – ideas about Core Research Object)\n\n\n\nRolf Krahl (PaN)\n\n\n\nStuart Chalk (WP03 IUPAC-NIST data modeling) \n\n\n\nIseult Lynch (WP04) \n\n\n\nSimon Hodson\, Arofan Gregory (WP02)\n\n\n\nPotentially others TBD \n\n\n\n\n(40 min) Discussion of themes  \n\n\n\n\nNeeds for describing sample types\, origin\, processing workflows and other requirements across disciplines\n\n\n\nExisting identifiers\, classifications\, ontologies and terminologies that support these descriptions \n\n\n\nProposal for an RDA Working Group project to develop best practices for sample data model specifications
URL:https://worldfair-project.eu/event/describing-chemical-physical-and-biological-samples-digitally-seeking-harmonization-part-of-idw2023-rdap21/
CATEGORIES:Other events
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20231023T080000
DTEND;TZID=Europe/Paris:20231026T170000
DTSTAMP:20260404T211618
CREATED:20230728T133549Z
LAST-MODIFIED:20230728T133843Z
UID:3254-1698048000-1698339600@worldfair-project.eu
SUMMARY:International Data Week 2023: A Festival of Data\, 23–26 October 2023\, Salzburg\, Austria
DESCRIPTION:The International Science Council’s Committee on Data (CODATA) and World Data System (WDS)\, and the Research Data Alliance (RDA) are delighted to announce International Data Week 2023: A Festival of Data\, taking place on 23–26 October 2023\, in Salzburg\, Austria. \n\n\n\nIDW 2023 will be hosted by the University of Salzburg through its interdisciplinary Data Science group and the Geoinformatics department\, supported by the Governor of Salzburg and with assistance from the Austrian Academy of Sciences – GIScience and the European Umbrella Organization for Geographic Information.
URL:https://worldfair-project.eu/event/international-data-week-2023-a-festival-of-data-23-26-october-2023-salzburg-austria/
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20231011T120000
DTEND;TZID=Europe/Paris:20231011T120000
DTSTAMP:20260404T211618
CREATED:20231005T121642Z
LAST-MODIFIED:20231005T121645Z
UID:3477-1697025600-1697025600@worldfair-project.eu
SUMMARY:Workshop: Ontologies4Chem – Ontologies for chemistry
DESCRIPTION:October 11 @ 14:00 – October 12 @ 17:00 CEST \n\n\n\n2 Afternoon Sessions (CET time) on October 11 & 12 \n\n\n\nOntologies are a holistic approach to semantically describe data\, information and knowledge of a domain. They provide terms\, relations and logic to semantically annotate and link data building knowledge graphs. The application of standard taxonomies and vocabularies from the very beginning of data generation and along research workflows in electronic lab notebooks (ELNs)\, software tools\, and their final publication in data repositories create FAIR data straightforwardly. \n\n\n\nThe 1st Ontologies4Chem workshop 2022 focused on reports and discussion of the current state and future plans of most of the relevant chemistry ontologies (i.e. CHEMINF\, Chebi\, ChIRO\, EDAM\, CHEMROF\, OBI\, SIO\, CHMO\, RXNO\, MOP) providing an overarching overview on the landscape of ontologies\, as well as presentations on tools like ROBOT\, NFDI4Chem Terminology Service and ODK\, used for developing and working with ontologies. \n\n\n\nIn this year’s workshop we would like to deepen the discussions around the existing chemical ontologies to address questions around the need of being able to recommend them as canonical resources and around how to improve them. We also will be discussing tools that can be used in an ontology-based research data management context. \n\n\n\nThe workshop brings together creators\, curators and users of chemical ontologies to discuss their application opportunities for joint efforts on future developments. \n\n\n\nThe presentations of this workshop will be recorded. \n\n\n\nFurther links:Workshop program details can be found on the agenda. \n\n\n\nThe Ontologies4Chem are browsable in the NFDI4Chem Terminology Service. \n\n\n\nEvent DOI:10.25798/dd81-f712
URL:https://worldfair-project.eu/event/workshop-ontologies4chem-ontologies-for-chemistry/
CATEGORIES:Other events
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END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Europe/Paris:20231001T080000
DTEND;TZID=Europe/Paris:20231006T170000
DTSTAMP:20260404T211618
CREATED:20231005T122203Z
LAST-MODIFIED:20231005T124244Z
UID:3482-1696147200-1696611600@worldfair-project.eu
SUMMARY:Defining a core metadata framework for cross-domain data sharing and reuse
DESCRIPTION:The workshop takes place at Schloss Dagstuhl – Leibniz Center for Informatics on October 1 to October 6\, 2023. See also the corresponding Dagstuhl web page and its information on COVID-19. \n\n\n\n\n\n\n\nTopics\n\n\n\nDiscovery\, Access\, and Evaluation\n\n\n\nThis group will look at the existing work regarding data discovery and access\, and extend this to address the related aspects of data assessment and evaluation. While there are several discrete areas involved in these functions\, much of the metadata required is the same. This group would look at these functions and how they combine\, with an eye toward defining a coherent set of metadata appropriate to each distinct step\, up to the point of integration and analysis. \n\n\n\nIntegration and Semantic Mapping\n\n\n\nData integration has several aspects\, among which are the combination of data at a structural level\, and the ability to equate similar semantics related to the data. The roles played by concepts are the point of contact between these. While structural manipulation of data can be automated to a great extent\, the mapping of semantics – even when informed by knowledge of the roles played by the relevant concepts – is much less prone to automation. This group will look at how the different aspects of data integration can be addressed\, and what is possible or desirable in terms of automation and support for non-automated activities. \n\n\n\nStandard Expression of “Universals”\n\n\n\nSome types of information do not require domain-specific expression\, either because they are described in a consistent fashion across domain boundaries\, or because the domain descriptions of them are universally employed. This category includes not only time\, geography\, and (basic) units of measure\, but also extends to such ubiquitous classifications as the species taxonomy. Understanding where a “lingua franca” such as CDIF is needed\, and where it is not\, is important in providing guidance to adopters. This group will explore where these limitations are\, and the implications for interoperability across domain boundaries. \n\n\n\nEvents\, Occurrences\, and Samples\n\n\n\nMany domains have similar approaches for organizing their data: events become the subject of measurements. Often\, samples are a critical aspect of such approaches. The act of measurement – the occurrence – is often an important focus. This type of data description – and the description of relevant data collection and sampling events – has implications for what constitutes sufficient provenance information. These elements are combined in different ways across domains\, and yet bear many similarities. The goal of this group is to identify similarities across domains\, and to consider the requirements for exchange of this information across domains boundaries. The discussion is likely to be an exploratory one\, but can draw on the models and standards which address these topics such as GBIF\, OGC’s Observations & Measurements\, OHDSI’s OMOP CDM\, and others. \n\n\n\nCross-Cutting and Presentational/Editorial Issues\n\n\n\nThe organization and presentation of the CDIF guidelines requires that each functional area be presented in a stepwise fashion\, with a clear return on effort for adoption. If CDIF is to be adopted by the target communities\, it must be easy to understand what should be implemented by practitioners in different domains\, according to what data they wish to provide for cross-domain use. This group would look at any such cross-cutting issues and how they can be addressed and documented for the purposes of the CDIF guidelines. It is expected that this group will perform a coordinating role across the work of other groups\, as needed.
URL:https://worldfair-project.eu/event/defining-a-core-metadata-framework-for-cross-domain-data-sharing-and-reuse/
CATEGORIES:Other events,WorldFAIR events
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DTSTART;TZID=Europe/Paris:20230920T170000
DTEND;TZID=Europe/Paris:20230920T180000
DTSTAMP:20260404T211618
CREATED:20230911T092836Z
LAST-MODIFIED:20230911T092947Z
UID:3386-1695229200-1695232800@worldfair-project.eu
SUMMARY:WorldFAIR at the EOSC Symposium: Cross domain interoperability use cases
DESCRIPTION:Time in CET \n\n\n\nThe WorldFAIR Project will be at the EOSC Symposium 2023 in Madrid this September to discuss how EOSC can support cross-domain interoperability\, and present the WorldFAIR Cross-Domain Interoperability Framework. A set of recommendations and guidelines and Case Studies from a number of projects exploring this challenge\, such as WorldFAIR\, FAIR-IMPACT and EOSC Future\, will present their work. Speakers include Simon Hodson (CODATA\, Project Coordinator)\, Arofan Gregory (CODATA)\, Pier Luigi Buttigieg (WorldFAIR Ocean Science & Sustainable Development WP Lead) and Alexander Prent (WorldFAIR Geochemistry WP Lead).The project communications team will also be there at the exhibition area – we look forward to seeing you there! 
URL:https://worldfair-project.eu/event/worldfair-at-the-eosc-symposium-20-september-2023/
CATEGORIES:Other events,WorldFAIR events
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DTSTART;TZID=Europe/Paris:20230920T130000
DTEND;TZID=Europe/Paris:20230920T140000
DTSTAMP:20260404T211618
CREATED:20230620T111512Z
LAST-MODIFIED:20230906T075157Z
UID:2754-1695214800-1695218400@worldfair-project.eu
SUMMARY:WorldFAIR Output Webinar Series: Overview of the projects first round of disciplinary reports:Updates from Biodiversity and Agriculture
DESCRIPTION:Times in UTC \n\n\n\nAgenda \n\n\n\nPresentationSpeaker(s)Welcome and Introduction to the WorldFAIR ProjectAlex Delipalta (RDA Europe)WorldFAIR WP9: Overview of the GBIF Unified Data ModelJoe Miller and John Wieczorek (GBIF)WorldFAIR WP10: Use cases for agriculture-related pollinator data standardsDebora Drucker (Embrapa)Connecting the work packages: GBIF Unified Model and plant pollinator data [panel and Q&A]John Wieczorek (University of California\, Berkeley); Tim Robertson (GBIF); Joe Miller (GBIF); Debora Drucker (Embrapa); Maarten Trekels (Meise Botanic Garden)\, José Augusto Salim (University of Campinas)\n\n\n\n\n\nResources \n\n\n\n\nDiversifying the GBIF Data Model\n\n\n\nUse Case: Biotic Interactions – Sottunga Island Melitaea cinxia Population Study\n\n\n\nData standard for sharing ecological and environmental monitoring data documentedfor community review (9.1)\n\n\n\nAgriculture-related pollinator data standards use cases report (10.1)\n\n\n\nSalim JA et al.\, Data standardization of plant-pollinator interactions\, GigaScience\, Volume 11\, 2022a\, giac043\n\n\n\n\nPlease note the webinar will be recorded.
URL:https://worldfair-project.eu/event/worldfair-output-webinar-series-overview-of-the-projects-first-round-of-disciplinary-reports-updates-from-biodiversity-and-agriculture/
CATEGORIES:WorldFAIR Webinar Series
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DTSTART;TZID=Europe/Paris:20230913T140000
DTEND;TZID=Europe/Paris:20230913T150000
DTSTAMP:20260404T211618
CREATED:20230621T112302Z
LAST-MODIFIED:20230911T080922Z
UID:2838-1694613600-1694617200@worldfair-project.eu
SUMMARY:WorldFAIR Output Webinar Series: Overview of the projects first round of disciplinary reports: Updates from Chemistry and Nanomaterials
DESCRIPTION:All times in UTC \n\n\n\nThis webinar will present the first deliverables published by WP3 Chemistry and WP4 Nanomaterials. \n\n\n\n\n\n\n\nChemistry \n\n\n\nAligning IUPAC Standards with FAIR Data Practices \n\n\n\nDigital recommendations for Chemistry FAIR data policy and practice (3.1) \n\n\n\nThis report reviews some of the critical and persistent issues around documentation of chemical information. It also considers documentation requirements to achieve FAIR sharing of chemistry data in ways that are Reliable\, Interpretable\, Processable\, and Exchangeable (RIPE)\, and with minimal loss of quality. \n\n\n\nSpeaker: Leah McEwen \n\n\n\n\nLeah holds an M.S. in Nutritional Biochemistry from Cornell University and an M.L.S. in Library and Information Science from Emporia State University. \n\n\n\nShe has been the Chemistry Librarian at Cornell since 1999\, supporting information discovery and data management needs for the research community. \n\n\n\nShe is an active contributor to national and international data initiatives\, founding the Chemistry Research Data Interest Group (DIG Chemistry) of the Research Data Alliance (RDA) and organizing thematic programs on chemical data standards. \n\n\n\nShe is currently chair of the Committee on Publications and Cheminformatics Data Standards of the International Union of Pure and Applied Chemistry (IUPAC)\, responsible for the design and implementation of digital standards and lead on the WorldFAIR Chemistry project to advance FAIR data practices in Chemistry.\n\n\n\n\n\n\n\n\nNanomaterials \n\n\n\nWorldFAIR Nanomaterials: Towards unique representation and identification of nanomaterials – supporting FAIR Data Practices. \n\n\n\nNanomaterials domain-specific FAIRification mapping (4.1) \n\n\n\nThis deliverable presents the initial FAIR implantation Profile (FIP) which describes the current state of the field (an ‘As-Is’ FIP) and discusses the domain-specific challenges relating to nanomaterials and its FAIR landscape. It then lays out the developments needed to reach the ‘To-Be’ FIP\, as the optimal approach to make nanomaterials and nanosafety data FAIR\, based on current best practice. \n\n\n\nThe goal of the WorldFAIR Nanomaterials project is to pioneer practical real-time solutions to enable FAIR nanomaterials data through: \n\n\n\n• Organizing and collating the existing materials\, tools and training to support FAIR nanomaterials data into a one-stop-shop for nanomaterials and nanosafety researchers\, and providing practical guidance for their use; \n\n\n\n• Addressing gaps in standards including for representing and identifying nanomaterials\, through further development of the extension of InChI to cover also nanomaterials\, and implementation of “on the fly” approaches for metadata annotation to reduce the disconnect between data generation & data management; \n\n\n\n• Driving a change in the mindset of nanomaterials researchers and stakeholders regarding the value and benefits of data FAIRification\, moving it from an archiving issue to a much more dynamic machine interaction with the data for use in predictive modelling\, materials design\, design of experiments and more. \n\n\n\nSpeaker: Iseult Lynch\, University of Birmingham \n\n\n\nIseult Lynch holds a PhD in Chemistry from University College Dublin\, Ireland. She is Chair (Professor) of Environmental Nanosciences at the School of Geography\, Earth and Environmental Sciences\, University of Birmingham (UoB). Her research interests span development and optimisation of nanoscale materials for a range of environmental applications such as precision agriculture\, and assessment of the human and environmental impacts of engineered and anthropogenic nanoscale materials\, including using predictive machine learning models. She has pioneered the concept of the biomolecule and environmental coronas\, and the development of enhanced understanding of the interactions of nanoscale materials with living systems. She has developed tools and approaches to support researchers with data management and FAIRification of nanosafety data\, including leading the extension of the IUPAC Identifier for Chemicals to cover nanomaterials. She is co-Lead on FAIR data in the €400 million Partnership for Assessment of the Risks of Chemicals (PARC). She is a Clarivate highly cited researcher (cross-field\, 2018 and 2022)\, and a passionate advocate of women in STEM.
URL:https://worldfair-project.eu/event/chemistry/
CATEGORIES:WorldFAIR Webinar Series
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DTSTART;TZID=Europe/Paris:20230822T140000
DTEND;TZID=Europe/Paris:20230822T150000
DTSTAMP:20260404T211618
CREATED:20230801T153106Z
LAST-MODIFIED:20230801T153149Z
UID:3294-1692712800-1692716400@worldfair-project.eu
SUMMARY:Rescheduled: WorldFAIR @ RDA’S 10 Year Anniversary: The WorldFAIR Case Study on Plant-pollinator Interactions (WP10)
DESCRIPTION:This webinar will now take place on 22 August 2023\, 1pm UTC! \n\n\n\nIn 2023 the Research Data Alliance is celebrating its 10th Anniversary. We’re excited to commemorate this important milestone with our community by organising a series of international and regional events and activities dedicated to a specific theme related to research data management of relevance to the RDA community. \n\n\n\nAs part of this event series\, WorldFAIR WP10 (Agricultural Biodiversity) will present their findings from their discovery phase: FAIR assessments\, good practices\, tools and examples to create\, manage and share data related to plant-pollinator interactions. \n\n\n\nYou can find out more about WorldFAIR WP10: Agricultural Biodiversity by visiting the dedicated webpage.
URL:https://worldfair-project.eu/event/rescheduled-worldfair-rdas-10-year-anniversary-the-worldfair-case-study-on-plant-pollinator-interactions-wp10/
CATEGORIES:Other events
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DTSTART;TZID=Europe/Paris:20230813T080000
DTEND;TZID=Europe/Paris:20230817T170000
DTSTAMP:20260404T211618
CREATED:20230728T133700Z
LAST-MODIFIED:20230801T153246Z
UID:3258-1691913600-1692291600@worldfair-project.eu
SUMMARY:ACS Fall Meeting\, Harnessing the Power of Data
DESCRIPTION:The WorldFAIR Project will be present at the American Chemical Society Fall Meeting with a talk on Global cooperation on cross-disciplinary frameworks for interoperability of FAIR data by Simon Hodson\, Project Coordinator\, and presentations by WP3‘s Leah McEwen\, Ian Bruno\, Stuart Chalk\, and Fatima Mustafa on What is a chemical: Sharing and re-using chemical data across disciplines. You can find the full programme on the dedicated website. 
URL:https://worldfair-project.eu/event/acs-fall-meeting-harnessing-the-power-of-data/
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DTSTART;TZID=Europe/Paris:20230628T130000
DTEND;TZID=Europe/Paris:20230628T143000
DTSTAMP:20260404T211618
CREATED:20230620T111000Z
LAST-MODIFIED:20230724T150919Z
UID:2748-1687957200-1687962600@worldfair-project.eu
SUMMARY:WorldFAIR Deliverable Webinar Series: FAIR Implementation Profiles\, the Cross-Domain Interoperability Framework and the WorldFAIR Methodology
DESCRIPTION:Watch the webinar recording! \n\n\n\n\n\n\n\n\n\nWorldFAIR is a coordinated and broad-based effort to explore the realities of FAIR implementation across a large range of different research domains and important cross-domain research areas. The FAIR principles rely on standards to describe data and metadata\, and if the promise of FAIR is to be achieved\, these standards must be agreed and adopted both within and across domains. The methodology used in WorldFAIR employs FAIR Implementation Profiles (FIPs) and other techniques for understanding what resources enable FAIR within each of the domain Case Studies in the project. This input is then considered by a group of standards experts in light of common standards which can be used universally\, cutting across domain boundaries. \n\n\n\nThe emerging result is a metadata ‘lingua franca’\, designed to support a number of critical functions in the realisation of FAIR across domains: the Cross-Domain Interoperability Framework (CDIF). The CDIF is a set of recommended\, existing standards and implementation approaches which builds on identified domain practice to support key functions\, including resource discovery\, access to controlled data\, and integration and reuse of data from disparate sources. Designed to support machine-actionability to the greatest possible extent\, CDIF can be adopted progressively\, building on the FAIR-enabling resources and standards identified by the Case Studies for their domains. \n\n\n\nThe coordination and synthesis activity in WorldFAIR (Work Package 2) will produce a draft of the CDIF recommendations\, but will also document other significant findings from this analysis: how can ‘domain-sensitive’ FAIR assessment really be carried out in practice? What issues emerge as the most important for enabling FAIR\, both within and across domains\, and what policy measures can be taken to support FAIR implementation into the future? Ultimately\, this impacts the necessary culture around data management\, emphasising the need for more granular data description and richer metadata describing data provenance and processing. \n\n\n\nThis webinar described the methodology developed by WorldFAIR for performing this analysis\, and summarised the findings\, in terms of the initial assessment with FIPs\, and covering the work-to-date on the development of the CDIF recommendations. Emerging policy implications and impacts on  data management practice were also described. \n\n\n\nThe program for the webinar was as follows: \n\n\n\nWorldFAIR’s use of FAIR Implementation Profiles (FIPs) (Simon Hodson) \n\n\n\n\nWhat is a FIP?\n\n\n\nThe role of FIPs fit in the WorldFAIR Methodology\n\n\n\nHow WorldFAIR Case Studies have been using FIPs\n\n\n\nWhat we learnt? Findings and recommendations\n\n\n\n\nFIPs and the Cross-Domain Implementation Framework (Arofan Gregory) \n\n\n\nCDIF \n\n\n\n\nCDIF as a ‘lingua franca’ (what it is\, and what it is not)\n\n\n\nFIPs and CDIF as a basis for domain-sensitive FAIR assessment\n\n\n\nPublishing FIPs and alignment\n\n\n\n\nIn advance of the webinar\, the following resources may be of interest: \n\n\n\n\nFAIR Implementation Profiles (FIPs) in WorldFAIR: What Have We Learnt? (D2.1): https://doi.org/10.5281/zenodo.7378109 \n\n\n\nFirst WorldFAIR Policy Brief (D1.3): https://doi.org/10.5281/zenodo.7853170 \n\n\n\nPresentations from the WorldFAIR CDIF workshop at the RDA Plenary on 20 March: https://worldfair-project.eu/2023/03/22/the-worldfair-projects-cross-domain-interoperability-framework-2/ 
URL:https://worldfair-project.eu/event/worldfair-deliverable-webinar-series-fair-implementation-profiles-the-cross-domain-interoperability-framework-and-the-worldfair-methodology/
LOCATION:Online
CATEGORIES:WorldFAIR Webinar Series
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DTSTART;TZID=Europe/Paris:20230614T080000
DTEND;TZID=Europe/Paris:20230614T090000
DTSTAMP:20260404T211618
CREATED:20230621T112221Z
LAST-MODIFIED:20230724T151009Z
UID:2835-1686729600-1686733200@worldfair-project.eu
SUMMARY:WorldFAIR Output Webinar Series: Social Surveys (WP6) and Cultural Heritage (WP13)
DESCRIPTION:Watch the webinar recording! \n\n\n\n\n\n\n\n\n\n\nSteve McEachern\, Director of the Australian Data Archive and CODATA Officer\, talked about opportunities for international alignment\, harmonisation and implementation of FAIR for data from major social surveys in Europe and Australia. Steve discussed the findings of the WorldFAIR case study on FAIR implementation for Cross-national Social Sciences Survey data (D6.1)\, the findings of the FAIR Implementation Profile exercises and the recommendations made for European Social Survey and Australian Social Survey Data. \n\n\n\nBeth Knazook\, Digital Repository of Ireland\, spoke about the findings and recommendations for cultural heritage image sharing platforms around the world. Beth will presented the findings of the WorldFAIR‘Cultural Heritage Mapping Report’ (D13.1).
URL:https://worldfair-project.eu/event/worldfair-output-webinar-series-social-surveys-wp6-and-cultural-heritage-wp13/
CATEGORIES:WorldFAIR Webinar Series
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