#linkedreproducibility 搜尋結果

- Supporting #LinkedResearch "publishing" w/for journals. - Promoting reproducibility (#REES,) #LinkedReproducibility - Promoting data reusability. (How do I indicate that this is a ScholarlyArticle predicated upon premises including this DataSet and these logical propositions?)


IMHO, #LinkedResearch >= #LinkedReproducibility with a better name #LR. Maybe #LRR Linked Reproducible Research would make for a good hashtag. One important use case is the automated preparation of meta-analyses of documents according to inclusion criteria (and units w/ eg #QUDT)


Justifying the relevancy of Python to progress in #reproducibility (and thus accountability) in the sciences? What is your hypothesis? Are you seeking bias-confirmatory background information? Why just Python? #LinkedReproducibility


Q: Is there a csv2csvw tool that can read data from metadata header rows or from a file containing external metadata? #LinkedResearch #LinkedReproducibility

"7 metadata header rows (column label, property URI path, DataType, unit, accuracy, precision, significant figures)" wrdrd.github.io/docs/consultin…



Provenance XG Final Report > A Roadmap for Provenance on the Web > 8 Broad Recommendations #provenance #linkedreproducibility w3.org/2005/Incubator…


Here's my #LinkedReproducibility Project Board with lots of random cards that I should re-work into an action plan for enabling the @ProjectJupyter /Sphinx/Jupyter-book/PyData/ @numfocus #STEM communities to publish #LinkedData and #LinkedMetaAnalyses: github.com/users/westurne…


SoftwareApplication hasPart Code? schema.org/hasPart ScholarlyArticle hasPart Dataset #nbmeta #linkedreproducibility #LR


There should be structured data schema (RDFS/OWL) for expressing all of the data relations described by this checklist. #LinkedReproducibility /? from:me "meta" #nbmeta … A template Jupyter notebook with objects that _repr_jsonld_

B wants to build a meta analysis: to collect a # of ScholarlyArticles and Dataset DataDownloads; review study controls and data; merge, join, & concatenate Datasets if appropriate, and inductively or deductively infer a conclusion and suggestions for further studies of variance



Here's my #LinkedReproducibility Project Board with lots of random cards that I should re-work into an action plan for enabling the @ProjectJupyter /Sphinx/Jupyter-book/PyData/ @numfocus #STEM communities to publish #LinkedData and #LinkedMetaAnalyses: github.com/users/westurne…


Q: Is there a csv2csvw tool that can read data from metadata header rows or from a file containing external metadata? #LinkedResearch #LinkedReproducibility

"7 metadata header rows (column label, property URI path, DataType, unit, accuracy, precision, significant figures)" wrdrd.github.io/docs/consultin…



Provenance XG Final Report > A Roadmap for Provenance on the Web > 8 Broad Recommendations #provenance #linkedreproducibility w3.org/2005/Incubator…


- Supporting #LinkedResearch "publishing" w/for journals. - Promoting reproducibility (#REES,) #LinkedReproducibility - Promoting data reusability. (How do I indicate that this is a ScholarlyArticle predicated upon premises including this DataSet and these logical propositions?)


IMHO, #LinkedResearch >= #LinkedReproducibility with a better name #LR. Maybe #LRR Linked Reproducible Research would make for a good hashtag. One important use case is the automated preparation of meta-analyses of documents according to inclusion criteria (and units w/ eg #QUDT)


There should be structured data schema (RDFS/OWL) for expressing all of the data relations described by this checklist. #LinkedReproducibility /? from:me "meta" #nbmeta … A template Jupyter notebook with objects that _repr_jsonld_

B wants to build a meta analysis: to collect a # of ScholarlyArticles and Dataset DataDownloads; review study controls and data; merge, join, & concatenate Datasets if appropriate, and inductively or deductively infer a conclusion and suggestions for further studies of variance



Justifying the relevancy of Python to progress in #reproducibility (and thus accountability) in the sciences? What is your hypothesis? Are you seeking bias-confirmatory background information? Why just Python? #LinkedReproducibility


SoftwareApplication hasPart Code? schema.org/hasPart ScholarlyArticle hasPart Dataset #nbmeta #linkedreproducibility #LR


TIL about @featuretools_py for Feature Engineering. Pandas > Featuretools > ScikitLearn github.com/featuretools/f… More columnar metadata would definitely be helpful for at least categoricals and CSV datatypes.



未找到 "#linkedreproducibility" 的結果
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