[DDI-users] Structured Data Transformation Language (SDTL): upcoming vote on inclusion in DDI product line + webinar

[Jared Lyle]

Dear DDI Alliance community,

We are ready to vote on Version 1.0 of SDTL (Structured Data Transformation
Language) for publication. Next week, Designated Member Representatives
will receive a link to cast their votes. It is important to vote; a
two-thirds majority is required for approval.

SDTL is a new product for DDI and we are asking you to approve its
inclusion in the product line of the DDI Alliance. Over the past year this
product has provided the Technical Committee with:

   - Statement of content and functionality
   - Information on the business case for the product
   - Objectives for the product
   - Position within the suite of products supported by the DDI Alliance
   - A maintenance plan for the product

The public review was completed between July 1 through August 31, 2020. All
issues have been addressed and the product prepared for the final vote on
publication.

To assist you in evaluating this product for inclusion in the suite of DDI
products a webinar will be presented on

Monday, November 2, 2020 at 10:00 Eastern Time (16:00 European Time)
To join the Webinar:
https://us02web.zoom.us/j/82041378650

Meeting ID: 820 4137 8650
Find your local number: https://us02web.zoom.us/u/kEZvDttN

The following content should also be informative:

   - SDTL User Guide: http://c2metadata.gitlab.io/sdtl-docs/master/
   - Introduction to SDTL:
   https://deepblue.lib.umich.edu/handle/2027.42/156015
   - Overview of the C2Metadata Project:
   https://deepblue.lib.umich.edu/handle/2027.42/156014
   - SDTL Working Group:
   https://ddi-alliance.atlassian.net/wiki/spaces/DDI4/pages/899547182/SDTL+-+Structured+Data+Transformation+Language

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.

We wish to thank George Alter and the SDTL Working Group, as well as the
Technical Committee, for the preparation of the SDTL product for
publication.


Jared Lyle
Executive Director, DDI Alliance <https://ddialliance.org/>
ICPSR <https://www.icpsr.umich.edu/>, University of Michigan
lyle at umich.edu

*Follow the DDI Alliance on Twitter <https://www.twitter.com/ddialliance>*
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