The FAIR Guiding Principles for scientific data management and stewardship.
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BiBTeXThere is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders-representing academia, industry, funding agencies, and scholarly publishers-have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.
SEEK ID: https://fairdomhub.org/publications/292
PubMed ID: 26978244
Projects: FAIRDOM
Publication type: Journal
Journal: Sci Data
Citation: Sci Data. 2016 Mar 15;3:160018. doi: 10.1038/sdata.2016.18.
Date Published: 15th Mar 2016
Registered Mode: Not specified
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Created: 2nd Dec 2016 at 09:41
Last updated: 8th Dec 2022 at 17:26
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Professor of Computer Science University of Manchester Co-Director of the FAIRDOM Initiative and co-leader of the SEEK4Science Platform Development Deputy Head of Node ELIXIR-UK Co-lead ELIXIR Interoperability Backbone Platform Lead ISBE WP Data and Model Management Data lead SynBioChem Manchester Synthetic Biology Research Centre for Fine and Speciality Chemicals
Projects: SysMO DB, FAIRDOM, ICYSB 2015 - International Practical Course in Systems Biology, ZucAt, SysMO-LAB, Kinetics on the move - Workshop 2016, Example use cases, FAIRDOM user meeting, ErasysApp Funders, EraCoBiotech 2 nd call proposal preparation, Service to URV Tarragona, Spain with respect to their Safety Assessment of Endocrine Disrupting Chemicals model (Active NOW), FAIRDOM & LiSyM & de.NBI Data Structuring Training, MESI-STRAT, INCOME, Multiscale modelling of state transitions in the host-microbiome-brain network, BESTER, TRALAMINOL, Sustainable co-production, INDIE - Biotechnological production of sustainable indole, Extremophiles metabolsim, PoLiMeR - Polymers in the Liver: Metabolism and Regulation, OLCIR: Optimization of Lung Cancer Therapy with Ionizing Radiation, NAD COMPARTMENTATION, HOTSOLUTE, Stress granules, FAIRDOM Community Workers, GMDS Project Group "FAIRe Dateninfrastrukturen für die Biomedizinische Informatik", Mechanism based modeling viral disease ( COVID-19 ) dynamics in human population, COVID-19 Disease Map, AquaHealth (ERA-BlueBio), LiSyM Core Infrastructure and Management (LiSyM-PD), Early Metabolic Injury (LiSyM-EMI - Pillar I), Regeneration and Repair in Acute-on-Chronic Liver Failure (LiSyM-ACLF - Pillar III), Chronic Liver Disease Progression (LiSyM-DP - Pillar II), Liver Function Diagnostics (LiSyM-LiFuDi - Pillar IV), The Hedgehog Signalling Pathway (LiSyM-JGMMS), Multi-Scale Models for Personalized Liver Function Tests (LiSyM-MM-PLF), Model Guided Pharmacotherapy In Chronic Liver Disease (LiSyM-MGP), Molecular Steatosis - Imaging & Modeling (LiSyM-MSIM), Modelling COVID-19 epidemics, SNAPPER: Synergistic Neurotoxicology APP for Environmental Regulation, SCyCode The Autotrophy-Heterotrophy Switch in Cyanobacteria: Coherent Decision-Making at Multiple Regulatory Layers, SASKit: Senescence-Associated Systems diagnostics Kit for cancer and stroke, CC-TOP, BioCreative VII, MESI-STRAT Review, SDBV/HITS, MESI-Review 2024
Institutions: Heidelberg Institute for Theoretical Studies (HITS gGmbH), FAIRDOM User meeting, Norwegian University of Science and Technology, University of Rostock, University of Innsbruck
https://orcid.org/0000-0003-3540-0402
I am a researcher at the Scientific Databases and Visualization Group at Heidelberg Institute for Theoretical Studies (HITS) , one of the developers of SabioRK - System for the Analysis of Biochemical Pathways - Reaction Kinetics (http://sabiork.h-its.org/) . I am working on design and maintenance of the information systems to store, query and analyse systems biology data; definition and implementation of methods for the integration of data from multiple sources. In **[SySMO-DB ...
I am an Assistant Professor at Leiden University in the Leiden Institute of Advanced Computer Science. I am a bioinformatician and my research interests are in data integration. I use scientific workflows and semantic web technologies to integrate and analyse data in systems biology and functional genomics.
FAIRDOM is establishing a support and service network for European Systems Biology. FAIRDOM is a joint action of ERA-Net ERASysAPP and European Research Infrastructure ISBE to establish a data and model management service facility for Systems Biology. Our prime mission is to support researchers, students, trainers, funders and publishers by enabling Systems Biology projects to make their Data, Operating procedures and Models, Findable, Accessible, Interoperable and Reusable (FAIR).
Projects: FAIRDOM, FAIRDOM user meeting, FAIRDOM Community Workers
Web page: http://fair-dom.org
FAIRDOM will establish a support and service network for European Systems Biology. We will serve projects in standardising, managing and disseminating data and models in a FAIR manner: Findable, Accessible, Interoperable and Reusable.
