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Introduction to SDTL
dc.contributor.authorAlter, George
dc.date.accessioned2020-11-02T22:33:27Z
dc.date.available2020-11-02T22:33:27Z
dc.date.issued2020-11-02
dc.identifier.urihttps://hdl.handle.net/2027.42/163363
dc.description.abstractGeorge Alter, Chair of the Structured Data Transformation Language (SDTL) Working Group of the DDI Alliance, hosted a Webinar on 2 November 2020 to explain SDTL and its value to the DDI community. SDTL is a new tool for creating machine actionable data provenance. SDTL is an independent language for representing data transformation commands in statistical analysis packages, such as SPSS, Stata, SAS, R, and Python. Commands like RECODE, MERGE FILES, and VARIABLE LABELS are rendered in a structured format (JSON, XML, RDF) that is easy for machines to read and process. Command scripts translated into SDTL produce variable-level data transformation histories, which can be translated into natural language. SDTL can be added to Data Documentation Initiative (DDI) and other metadata standards for use in data catalogs, codebooks, and other documentation.en_US
dc.language.isoen_USen_US
dc.rightsAttribution-NonCommercial-ShareAlike 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/*
dc.subjectStructured Data Transformation Languageen_US
dc.subjectSDTLen_US
dc.subjectDDIen_US
dc.subjectprovenanceen_US
dc.titleIntroduction to SDTLen_US
dc.typePresentationen_US
dc.subject.hlbsecondlevelStatistics and Numeric Data
dc.subject.hlbtoplevelSocial Sciences
dc.contributor.affiliationumICPSRen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/163363/1/SDTL_intro_DDI_Alliance_v3.pptxen_US
dc.identifier.orcid0000-0003-3823-4972en_US
dc.description.filedescriptionDescription of SDTL_intro_DDI_Alliance_v3.pptx : Presentation
dc.description.depositorSELFen_US
dc.identifier.name-orcidAlter, George; 0000-0003-3823-4972en_US
dc.owningcollnameInter-university Consortium for Political and Social Research (ICPSR)


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