#linkedreproducibility resultados da pesquisa
Mmm, more PDF table parsing #LinkedReproducibility #StructuredData
"CSV, CSVW, and metadata rows" #LinkedReproducibility wrdrd.github.io/docs/consultin…
@quiltdata > Quilt manages data like code github.com/quiltdata/quilt #reproducibility #linkedreproducibility
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
#LinkedReproducibility GitHub Project Board: 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…
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…
Metadata / Versioned data, code, environment - W3C #PROV wrdrd.github.io/docs/consultin… - @pachyderminc - @quilt medium.com/pytorch/how-to… #provenance #linkedreproducibility
- 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?)
Provenance XG Final Report > A Roadmap for Provenance on the Web > 8 Broad Recommendations #provenance #linkedreproducibility w3.org/2005/Incubator…
# "#LinkedReproducibility" ## #StudyGraph ## #StructuredPremises ## #LinkedMetaAnalyses wrdrd.github.io/docs/consultin…
Just sent you a DM. Notes on #LinkedData; toward #LinkedResearch / #LinkedReproducibility / publishing #LinkedData with our fav tools. wrdrd.github.io/docs/consultin…
Call it #LinkedResearch #LinkedReproducibility /? #zotero #rdfa
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)
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
Call it #LinkedResearch #LinkedReproducibility /? #zotero #rdfa
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…
Just sent you a DM. Notes on #LinkedData; toward #LinkedResearch / #LinkedReproducibility / publishing #LinkedData with our fav tools. wrdrd.github.io/docs/consultin…
Mmm, more PDF table parsing #LinkedReproducibility #StructuredData
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…
@quiltdata > Quilt manages data like code github.com/quiltdata/quilt #reproducibility #linkedreproducibility
Metadata / Versioned data, code, environment - W3C #PROV wrdrd.github.io/docs/consultin… - @pachyderminc - @quilt medium.com/pytorch/how-to… #provenance #linkedreproducibility
#LinkedReproducibility GitHub Project Board: github.com/users/westurne…
- 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?)
# "#LinkedReproducibility" ## #StudyGraph ## #StructuredPremises ## #LinkedMetaAnalyses wrdrd.github.io/docs/consultin…
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
"CSV, CSVW, and metadata rows" #LinkedReproducibility wrdrd.github.io/docs/consultin…
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.
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