the odyssey of data curation - nanocommons · 2018. 7. 28. · shift curation onto data generators...
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The odyssey of data curation… Or how to make curation fun and
promote data harmonisation
Anastasios G. Papadiamantis1, Camille de Garidel-Thoron2, Jaleesia Amos3, Iseult Lynch1 and Christine Ogilvie Hendren3
1. 2. 3.
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Our Vision
▪ Implement data management in scientific research
▪ Data harmonisation through data curation
▪ Promote data comparability and continuity
▪ Advance NanoInformatics
▪ Translational research
▪ Certification of Curation
▪ FAIR* access
*FAIR: Findable, Accessible, Interoperable, and Re-usable
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Creating Interoperability through Data Curation
Leverage Diverse Datasets
Standard Curation Format
Promote Interoperability
Diverse Data Application
▪ Bridge different fields by promoting data comparability and project continuity▪ Shift curation focus from coordinators to data generators
Regulation
Fate
Exposure
Risk Assessment
Modelling
Data management
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NIKC Instance Organisation Structure
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NIKC Instance in Snapshots
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Instance Map: A Transformational Story
NA Monteiro-Riviere et al. Toxicol Lett 155 (3), 377-384. 2005 Mar 15.
▪ Dynamic and versatile data templates, adaptable to specific
WP requirements
▪ Common starting point (ENM physicochemical
characterisation), connecting all environmental compartments
▪ Experimental protocols and instruments types included and
considered as data points
▪ Compatible with online lab-books
▪ Promoting cross-study data harmonisation and translational
research
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Building a Data Dictionary
Field Experts Literature Sources
Build Hierarchy StructureOntologies, Field Experts
Develop Policies for UseInclusion and Exclusion of terms
Build Data DictionaryStart with curated terms
Monthly MaintenanceContinually expanding
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Data Management – Online Lab-Books
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Steps to fulfill our vision
▪ Shift curation onto data generators
▪ Electronic laboratory notebooks with implemented NIKC compatible curation templates
▪ Automated dataset extraction and uploading
▪ Create an open and dynamic data repository, implement visualisation and analysis tools
▪ Use the curated data to address all topics of nanosafety research (risk assessment, exposure, fate, safer-by-design, regulatory)
▪ FAIR access
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Acknowledgements
CEINT NIKC Team
Jaleesia AmosYuan Tian
Lila ThorntonZhao Zhang
Nancy BirknerChristine Ogilvie Hendren
Mark WiesnerGreg Lowry
The combined effort of
over 130 researchers
UoB & CEH Team
Iseult LynchClaus Svendsen
Eva Valsami-JonesMarianne Matzke
SERENADE Team
Camille de Garidel-ThoronJérôme Rose
Armand MasionMélanie Auffan
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Thank you for your attention