Date: Thu, 28 Mar 2024 12:17:48 +0000 (UTC) Message-ID: <260995067.31.1711628268030@faa25880245a> Subject: Exported From Confluence MIME-Version: 1.0 Content-Type: multipart/related; boundary="----=_Part_30_198201155.1711628268030" ------=_Part_30_198201155.1711628268030 Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable Content-Location: file:///C:/exported.html
an independent intermediate language for representing data transformatio= n commands for data stored in common statistical analysis packages.
as a machine actionable description of variable level data transformatio= n
a representation of the SDTL model in different formats (e.g. JSON, XML,= OWL 2 RDF, UML)
a crosswalk (the Function Library) between a standard SDTL representatio= n of each function and the implementations of that function in various stat= istical languages
a human readable translation of SDTL commands (the Pseudo-Code Library)<= /p>
Comments are requested on the content and scope of SDTL
SDTL Command Language
Function Library
Pseudo-Code Library
Documentation
Starting point of review is through the SDTL Us= er Guide
Structured Data Transformation Language (SDTL) is an independent interme= diate language for representing data transformation commands. Statist= ical analysis packages (e.g., SPSS, Stata, SAS, and R) provide similar func= tionality, but each one has its own language and syntax. SDTL consist= s of JSON schemas for common operations, such as RECODE, MERGE FILES, and V= ARIABLE LABELS. SDTL provides machine-actionable descriptions of vari= able-level data transformation histories derived from any data transformati= on language. Provenance metadata represented in SDTL can be added to = documentation in Data Documentation Initiative (DDI) and other metadata sta= ndards.
SDTL greatly enhances the value of DDI by providing a key component of a= n automated metadata production process. Currently, DDI metadata is a= lmost always created by data repositories but not by data producers. = Even when data are born digital, data producers discard provenance informat= ion that could be transported into DDI, because they perform data managemen= t and variable transformations in statistical packages that offer minimal m= etadata capabilities. SDTL and the tools created by the C=E2=80=8B2= =E2=80=8BMetadata Project are designed to create a metadata life cycle that= parallels the research data life cycle. The same scripts that are us= ed to transform and manage variables and data files can be used to update m= etadata files. As a result, data producers can create more accurate a= nd complete DDI metadata with less time and effort for them and for data re= positories.
Use cases that test SDTL, especially examples that demonstrate the usefu= lness of SDTL to the DDI community
Exploring potential links between SDTL and other metadata formats and pr= ovenance initiatives
July 1 - August 31, 2020
Overview Documents:
Websites:
CLICK to = file a comment
Please provide your name and email in the body of your comment so we can= contact you if needed.