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10.1186/s12859-018-2247-6 http://scihub22266oqcxt.onion/10.1186/s12859-018-2247-6 C6048706!6048706!30012108     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       BMC+Bioinformatics 2018 ; 19 (ä): ä Nephropedia Template TP {{tp|p=30012108|t=2018. CEDAR OnDemand: a browser extension to generate ontology-based scientific metadata |pdf=|usr=}}{{30012108}} gab.com Text CEDAR OnDemand: a browser extension to generate ontology-based scientific metadata JO: BMC Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=30012108 #FOAvip Background: Public biomedical data repositories often provide web-based interfaces to collect experimental metadata. However, these interfaces typically reflect the ad hoc metadata specification practices of the associated repositories, leading to a lack of standardization in the collected metadata. This lack of standardization limits the ability of the source datasets to be broadly discovered, reused, and integrated with other datasets. To increase reuse, discoverability, and reproducibility of the described experiments, datasets should be appropriately annotated by using agreed-upon terms, ideally from ontologies or other controlled term sources. Results: This work presents ?CEDAR OnDemand?, a browser extension powered by the NCBO (National Center for Biomedical Ontology) BioPortal that enables users to seamlessly enter ontology-based metadata through existing web forms native to individual repositories. CEDAR OnDemand analyzes the web page contents to identify the text input fields and associate them with relevant ontologies which are recommended automatically based upon input fields? labels (using the NCBO ontology recommender) and a pre-defined list of ontologies. These field-specific ontologies are used for controlling metadata entry. CEDAR OnDemand works for any web form designed in the HTML format. We demonstrate how CEDAR OnDemand works through the NCBI (National Center for Biotechnology Information) BioSample web-based metadata entry. Conclusion: CEDAR OnDemand helps lower the barrier of incorporating ontologies into standardized metadata entry for public data repositories. CEDAR OnDemand is available freely on the Google Chrome store https://chrome.google.com/webstore/search/CEDAROnDemand Twit Text FOAVip CEDAR OnDemand: a browser extension to generate ontology-based scientific metadata ????BMC Bioinformatics http://www.kidney.de/pget.php?&tw=1&pmid=30012108 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=30012108 #FOAvip English Wikipedia <ref>{{Cite pmid|30012108}}</ref> CEDAR OnDemand: a browser extension to generate ontology-based scientific metadata #MMPMID30012108 Bukhari SAC; Martínez-Romero M; O? Connor MJ; Egyedi AL; Willrett D; Graybeal J; Musen MA; Cheung KH; Kleinstein SH BMC Bioinformatics 2018[]; 19 (ä): ä PMID30012108show ga Background: Public biomedical data repositories often provide web-based interfaces to collect experimental metadata. However, these interfaces typically reflect the ad hoc metadata specification practices of the associated repositories, leading to a lack of standardization in the collected metadata. This lack of standardization limits the ability of the source datasets to be broadly discovered, reused, and integrated with other datasets. To increase reuse, discoverability, and reproducibility of the described experiments, datasets should be appropriately annotated by using agreed-upon terms, ideally from ontologies or other controlled term sources. Results: This work presents ?CEDAR OnDemand?, a browser extension powered by the NCBO (National Center for Biomedical Ontology) BioPortal that enables users to seamlessly enter ontology-based metadata through existing web forms native to individual repositories. CEDAR OnDemand analyzes the web page contents to identify the text input fields and associate them with relevant ontologies which are recommended automatically based upon input fields? labels (using the NCBO ontology recommender) and a pre-defined list of ontologies. These field-specific ontologies are used for controlling metadata entry. CEDAR OnDemand works for any web form designed in the HTML format. We demonstrate how CEDAR OnDemand works through the NCBI (National Center for Biotechnology Information) BioSample web-based metadata entry. Conclusion: CEDAR OnDemand helps lower the barrier of incorporating ontologies into standardized metadata entry for public data repositories. CEDAR OnDemand is available freely on the Google Chrome store https://chrome.google.com/webstore/search/CEDAROnDemand äCEDAR OnDemand: a browser extension to generate ontology-based scienti(epmc).pdf DeepDyve Pubget Overpricing