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ZENODO
Software . 2021
License: CC BY
Data sources: Datacite
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2021
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Software . 2021
License: CC BY
Data sources: Datacite
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SurfTheOWL

Authors: Weber, Manfred; Garabedian, Nikolay;

SurfTheOWL

Abstract

SurfTheOWL is a software that can be used to query an ontology with a specific structure (currently applied only to TriboDataFAIR Ontology) and display the possible key-value pairs that constitute a record in an electronic lab notebook for a specific laboratory object or procedure. https://www.nature.com/articles/s41597-022-01429-9 - Garabedian, N.T., Schreiber, P.J., Brandt, N., Greiner, C., et al. Abstract: Generating FAIR research data in experimental tribology. Sci Data 9, 315 (2022). Digital solutions for the generation of FAIR (Findable, Accessible, Interoperable and Reusable) data and metadata in experimental tribology are currently lacking, despite the looming challenge of integrating cutting-edge data science techniques – a promising scientific route for any field that often relies on phenomenology and empiricism. Additionally, the broad interdisciplinarity of tribology is probably a main contributing factor for the lack of community-wide data and metadata standards, and the heavy reliance on custom workflows and equipment. This paper, first, outlines a sample framework for scalable generation of FAIR data, and second, delivers a showcase FAIR data package for a pin-on-disk tribological experiment. The resulting curated data, consisting of 2,008 key-value pairs and 1,696 logical axioms, is the result of (1) the close collaboration with developers of a virtual research environment, (2) crowd-sourced controlled vocabulary, (3) ontology building and (4) numerous – seemingly – small-scale digital tools. Thereby, this paper demonstrates a collection of scalable non-intrusive techniques that extend the life, reliability and reusability of experimental tribological data beyond typical publication practices. https://youtu.be/xwCpRDnPFvs - Generating FAIR Research Data in Experimental Tribology - Get Scientific Results Ready for ML https://doi.org/10.5281/zenodo.5720626 - FAIR Data Package of a Tribological Showcase Pin-on-Disk Experiment https://doi.org/10.5281/zenodo.5720198 or https://github.com/nick-garabedian/TriboDataFAIR-Ontology or https://fairsharing.org/3597 - TriboDataFAIR Ontology https://doi.org/10.5281/zenodo.5720218 or https://github.com/nick-garabedian/SurfTheOWL - SurfTheOWL https://kadi4mat.iam-cms.kit.edu/ - Kadi4Mat Virtual Research Environment and Electronic Lab Notebook

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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