# OpenRefine [Wikipedia Link](https://en.wikipedia.org/wiki/OpenRefine) ( Type: Tool ) ## Description Step-by-step OpenRefine workflow for cleaning and clustering a data set — used here to normalize publisher, subject, and author fields in a comics/zine collection catalog. ## Key Tags #openrefine #data-cleaning ## Essential Works %% none yet %% ## Details %% none yet %% ### Notes 1. install 2. start openrefine 3. Create project 4. Publisher > Text Facet 1. (457 results) 2. view by count 3. Fantagraphics Books (99)(21)(21) 4. combine 3x () 5. view by name 6. still 4 different fantagraphics 5. Cluster (metaphone3) 1. replace: Turnaround; 2. replace: Diamond distributor; 3. replace: Turnaround distributor; 6. replace "xxx by " 1. regex101.com 2. export facets (439 choices) 3. .+ by 4. replace text in column 7. cluster again 8. SUBJECTS 1. to titlecase 2. split multivalued cells (;) 3. split multivalued cells (/) 4. split multivalued cells (--) 5. titlecase again 6. delete whitespace 7. replace ", etc." 7. replace "." 8. replace "^-" 9. replace "(^\(" 10. replace "\)quot; 9. show as records 10. rejoin with ; 11. AUTHOR 1. split column ", " 2. transform > titlecase 3. join columns author 1,2 ", " 4. Cluster 12. PUBLICATION DATE 1. ^c|© 2. ^\[|\].*$|\-.*$ regex101.com \b(author|illustrator|artist)\b \D* second comma: ^([^,]*,[^,]*),. ### Concepts and Theories %% none yet %% ### Related Practices - [[Research Tools]] - OpenRefine is one of the software tools in the broader research/cataloging build - [[Zotero]] - both used for cleaning and normalizing bibliographic/catalog metadata ### Key Practitioners %% none yet %% ### Institutional Affiliations %% none yet %% ## References ### Primary Sources Bibliography %% none yet %% ### Secondary Sources Bibliography %% none yet %%