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|Training material = title|
|Data and Metadata Management using= DDI: A Business Perspective|
|Brief description and com= ments|
|Presentation slides from a tutoria=
l given by Wendy Thomas and Marcel Hebing at the Fourth Annual European DDI=
User Conference. "Formalizing the process of data and metadata manage=
ment has become increasingly important. The DDI metadata standard was desig=
ned to support metadata management from simple stand-alone studies to major=
statistical production systems. This workshop looked at at how DDI supports the data and metadata management p=
rocess from a high level business perspective. Use cases covering different=
organizational structures and processes will be used to provide a checklis=
t of options for introducing DDI into an organization."
The= tutorial is in two parts.
Part I is an introduction to DDI (The Da= ta Documentation Initiative), covering: overview, processes, the DDI standa= rd, tools, codebook and lifecycle.
Part II treats advanced topics.= p>
(Full attribution: Slides 1-7, 13-14, 64-65 Wendy Thomas; Slide 53 He= rve L=E2=80=99Hours (UKDA). Remainder of Slides: the slides were developed = for several DDI workshops at IASSIST conferences and at GESIS training in D= agstuhl/Germany. Major contributors: Wendy Thomas, Minnesota Population Cen= ter; Arofan Gregory, Open Data Foundation. Further contributors: Joachim Wa= ckerow, GESIS =E2=80=93 Leibniz Institute for the Social Sciences; Pascal H= eus, Open Data Foundation). http://creativecommons.org/lic= enses/by-sa/3.0/legalcode
Methodology of Data Colle= ction, Processing, Dissemination & Analysis
|Author Organization(s)||Contact email address for this mat= erial (if applicable)||Date created|
|Minnesota Population Center and =E2=80=93 German= Socio-Economic Panel Study (SOEP), DIW Berlin||December|
|Location (links and/or attachments)|
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