Difference between revisions of "OpenRefine"
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* [https://epublications.marquette.edu/lib_fac/81/ Identifying potential headings for Authority work using III Sierra, MS Excel and OpenRefine] | * [https://epublications.marquette.edu/lib_fac/81/ Identifying potential headings for Authority work using III Sierra, MS Excel and OpenRefine] | ||
* [https://www.tandfonline.com/doi/abs/10.1080/01639374.2016.1245693 Using OpenRefine's Reconciliation to Validate Local Authority Headings] | * [https://www.tandfonline.com/doi/abs/10.1080/01639374.2016.1245693 Using OpenRefine's Reconciliation to Validate Local Authority Headings] | ||
+ | * [http://eis-bonn.github.io/Theses/2014/Muhammad_Ali_Qasmi/thesis.pdf RDF Quality Extension for OpenRefine] (slidedeck - 2014) | ||
+ | * [https://docs.lib.purdue.edu/lib_fsdocs/118/ Good Library Data Made Better With Technology! Using OpenRefine and Google Fusion Tables in Academic Business Libraries Instruction] | ||
+ | * [https://plu.mx/a/?ebsco-client=s4594951&isbn=9781783289080&display-tab=summary-content Using OpenRefine the essential OpenRefine guide that takes you from data analysis and error fixing to linking your dataset to the Web] | ||
+ | * [https://eds.b.ebscohost.com/eds/pdfviewer/pdfviewer?vid=4&sid=5e90ee43-28dd-41a7-a060-7321a819f3b0%40sessionmgr103 OpenRefine: A Power Tool for Messy Data] (slidedeck – 2015) | ||
+ | * [https://doaj.org/article/049dd8460d164fa2b977c31382454e9e? Fetching and Parsing Data from the Web with OpenRefine] | ||
+ | * [https://plu.mx/a/?ebsco-client=s4594951&doi=10.1109%2FICITSI.2016.7858197&isbn=9781509024490 Data profiling for data quality improvement with OpenRefine] | ||
+ | * [https://www.scopus.com/record/display.uri?eid=2-s2.0-84995578214&origin=inward&txGid=10915d74bf82e9a49d27b266e4ece2f0 Using OpenRefine's Reconciliation to Validate Local Authority Headings] | ||
+ | * [https://doaj.org/article/3ccd075407a4481c85c0d00d65a003c0? Cleaning Data with OpenRefine] | ||
+ | * [https://doaj.org/article/f0f2f2295bc1494f8cd7846289fd4b96? Extracting, Augmenting, and Updating Metadata in Fedora 3 and 4 Using a Local OpenRefine Reconciliation Service] | ||
+ | * [https://doaj.org/article/a7c0601744a843039764e24f1fa5fd3f? Processing Government Data: ZIP Codes, Python, and OpenRefine] | ||
+ | * [http://go.galegroup.com/ps/i.do?p=AONE&u=tusc49521&id=GALE|A344827270&v=2.1&it=r&sid=ebsco OpenRefine (version 2.5)] | ||
+ | * [https://www.scopus.com/record/display.uri?eid=2-s2.0-84882564948&origin=inward&txGid=83ee38f95c26643b2f6a4c99c56ce8fd OpenRefine (version 2.5). http:// openrefine.org. free, open-source tool for cleaning and transforming data] |
Latest revision as of 16:29, 27 November 2018
- OpenRefine (version 2.5). http://openrefine.org. Free, open-source tool for cleaning and transforming data
- Beyond Excel: how to start cleaning data with OpenRefine
- In Search of Useful Collection Metadata: Using OpenRefine to Create Accurate, Complete, and Clean Title-level Collection Information
- Introduction to OpenRefine
- Identifying potential headings for Authority work using III Sierra, MS Excel and OpenRefine
- Using OpenRefine's Reconciliation to Validate Local Authority Headings
- RDF Quality Extension for OpenRefine (slidedeck - 2014)
- Good Library Data Made Better With Technology! Using OpenRefine and Google Fusion Tables in Academic Business Libraries Instruction
- Using OpenRefine the essential OpenRefine guide that takes you from data analysis and error fixing to linking your dataset to the Web
- OpenRefine: A Power Tool for Messy Data (slidedeck – 2015)
- Fetching and Parsing Data from the Web with OpenRefine
- Data profiling for data quality improvement with OpenRefine
- Using OpenRefine's Reconciliation to Validate Local Authority Headings
- Cleaning Data with OpenRefine
- Extracting, Augmenting, and Updating Metadata in Fedora 3 and 4 Using a Local OpenRefine Reconciliation Service
- Processing Government Data: ZIP Codes, Python, and OpenRefine
- OpenRefine (version 2.5)
- OpenRefine (version 2.5). http:// openrefine.org. free, open-source tool for cleaning and transforming data