The final #WorldFAIR webinar is happening TODAY at 12:00 UTC! Come along and join the discussion on #PopulationHealth #data #policy & practice recommendations! Register: https://tinyurl.com/WF-WP7 #FAIRData #OpenScience
WorldFAIR Project
研究服务
Advancing implementation of the FAIR principles & improving interoperability & reusability of digital research objects.
关于我们
In the WorldFAIR project, CODATA (the Committee on Data of the International Science Council) and RDA (the Research Data Alliance), work with a set of 11 disciplinary and cross-disciplinary case studies to advance implementation of the FAIR principles and, in particular, to improve interoperability and reusability of digital research objects, including data. Particular attention is paid to the articulation of an interoperability framework for each case study and research domain.
- 网站
-
https://worldfair-project.eu/
WorldFAIR Project的外部链接
- 所属行业
- 研究服务
- 规模
- 11-50 人
- 类型
- 合营企业
- 创立
- 2022
- 领域
- FAIR Data和FAIR Principles
动态
-
Just over an hour to go for the #WorldFAIR webinar presenting #guidelines & #recommendations for #Geochemistry & #DisasterRiskReduction! We start at 08:00 UTC, you can still register here: https://lnkd.in/epVZt-_t #FAIRdata #OpenScience #codata
-
-
The latest #WorldFAIR newsletter is available! Read our recap of a busy April & register for our upcoming events, including our special double session on 22&23 May presenting the #CDIF, #FIPs & #recommendations on advancing the implementation of #FAIR Check out our newsletter archive: https://lnkd.in/exP4dkA4
-
-
?? Exciting News from NovaMechanics Ltd! ?? We are proud to announce a significant breakthrough in nanotechnology safety with our latest study, "In silico assessment of nanoparticle toxicity powered by the Enalos Cloud Platform: Integrating automated machine learning and synthetic data for enhanced nanosafety evaluation." https://lnkd.in/gK4yjSbB Computational and Structural Biotech Journal This pioneering research showcases the integration of automated machine learning (#autoML) and synthetic data to revolutionize nanosafety. ?? This innovative approach not only enhances the efficiency and accuracy of nanoparticle assessments but also paves the way for sustainable and safer nanotechnological advancements. By utilizing the Isalos Analytics Platform’s autoML capabilities and the computational power of the Enalos Cloud Platform, we are setting new standards in the field. ?? Supported by the SABYDOMA, #CompSafeNano, and WorldFAIR Project European projects, our work reflects our commitment to advancing science while prioritizing environmental and human health. ?? Explore the full details of our study and see how we are leading the charge in sustainable nanotechnology. https://lnkd.in/gfpdHc92 #Nanotechnology #Innovation #MachineLearning #Sustainability #NovaMechanics #NanoSafety #ScienceNews #autoML #IsalosAnalyticsPlatform
-
Tune in TODAY at 13:00 UTC for the next #WorldFAIR webinar presenting project outputs, discussing #Chemistry and #Nanomaterials. There is still time to register??https://lnkd.in/eTGMFWFg #FAIRdata #FAIRChemistry #OpenScience #codata
-
-
Next up on the #WorldFAIR webinar series: Updates from #Chemistry & #Nanomaterials. Join us on 22/4, 13:00 UTC for a series of presentations from Stuart Chalk, Evan Bolton & Iseult Lynch on the latest guidelines, recommendations & tools https://lnkd.in/eTGMFWFg #FAIRdata #OpenScience
-
-
Next on the #WorldFAIR webinar series: on April 18 @ 2:00 pm UTC the #AgriculturalBiodiversity team will discuss reports from the case study on Plant-Pollinator Interactions Data - register here: https://lnkd.in/egyGuAHE #codata #openscience #FAIRdata
-
-
The latest report from #WorldFAIR #Geochemistry aims to facilitate the implementation of commonly-used #FERs, with a resource that fosters interoperability, accelerates convergence on #datastandards & enhances #accessibility & #reusability of #geochemicaldata https://lnkd.in/edf7Tc5t #FAIR
-
-
?? Check out a new #WorldFAIR report from on the utility and significance of FAIR Implementation Profiles (#FIPs) for the #geochemistry community, presenting a set of #policy and organisational #recommendations https://lnkd.in/ePnR4yfd #FAIRdata #OpenScience #OneGeochemistry More on the report: The primary goal of this report is to foster alignment across the complex and heterogeneous geochemistry community, in producing and integrating FAIR data for the huge diversity of sample types and target analytes of this community, each often having numerous analytical methods. Following the FIP methodology, this report makes reference to the fifteen FAIR Principles, divided into scientific and technical components. Scientific component implementations, and related community engagement, are to be based on best practice publications that outline data reporting and methodology descriptions from within specific geochemistry sub-disciplines. Parts of these publications, including tables and images in PDF or document formats, could be converted into machine actionable FAIR-enabling resources (FERs), and be part of a generic FIP for geochemistry. Technical components need to be generated, reviewed and assessed by geochemistry data infrastructure and repository technical staff, along with the development of additionally needed FERs in consultation with other FAIR data management expert groups (e.g., CODATA-DDI Alliance activity, the DDI-CDI group, the RDA Vocabulary Services Interest Group, IUPAC, etc.) and the “Ten Simple Rules for making a vocabulary FAIR” (Cox et al. 2021). This report is the result of interactions with the geochemistry community through the OneGeochemistry Initiative, its board members, research infrastructure experts, analytical facilities and international leaders in geochemistry data management systems (EarthChem, DIGIS-GEOROC, AGN–AusGeochem, GFZ Data Services, NFDI4Earth, and EPOS?MSL Laboratories).
-
-
??A new #WorldFAIR deliverable targeted towards #nanoinformatics model developers presents a set of recommendations and prototypes for #FAIRification of nanoinformatics tools and models. It is a stand-alone document focused on FAIRification of nanoinformatics tools and software primarily, addressing also FAIRIfication of the underpinning (and resulting) datasets. Organisation of the datasets into ready-for-modelling formats, for example via #NanoPharos, and use of #KNIME nodes to integrate the datasets directly into the modelling software, and the resulting predictions and validation statistics back into the database for further re-use are also emphasised.? This report provides an analysis of the direction FAIRification of nanoinformatics software could/should take. The report provides examples of the approaches and best practice that have emerged from Horizon 2020-funded (H2020) nanosafety-specific projects, including? #NanoCommons,? #NanoSolveIT,? #RiskGONE,? #CompSafeNano?to support #FAIRsoftware. Approaches and best practice examples include the documentation of models and software via existing and emerging metadata standards, establishment of a registry of nanoinformatics models, deployment of predictive models as web applications or application programming interfaces and a demonstration of model interoperability and enhanced re-usability via containerisation and deployment via a cloud platform. Read more ?? https://lnkd.in/e9tKEy8a
-