[CODATA-international] Register now: Webinar on using DDI-CDI to Describe Data Processing and Provenance

Asha CODATA asha at codata.org
Mon Nov 23 12:03:46 EST 2020


*Using the DDI Cross Domain Integration (DDI-CDI) Specification for
Describing Data Processing and Provenance*

The Data Documentation Initiative Alliance has recently announced the
public review of their new specification, DDI–Cross Domain Integration
(DDI-CDI). In order to introduce potential reviewers to the parts of the
specification which apply to the description of data processing and
provenance, a webinar will be held on Weds 9 Dec at 15:00 UTC. The
specification will be introduced, followed by a discussion period, with
each webinar lasting for an hour.

*Register for the webinar
here: https://attendee.gotowebinar.com/register/5968400215103504911
<https://attendee.gotowebinar.com/register/5968400215103504911>*

*Register for the related FAIR Data Provenance Session at the FAIR
Convergence Symposium for FREE at https://bit.ly/FAIRCONVERGE1
<https://bit.ly/FAIRCONVERGE1> using the event passcode FAIRCONVERGE1*

*DDI-CDI and Provenance*

DDI-CDI is a model-driven specification that is designed to provide support
for the wide range of data which are becoming increasingly significant for
the Social, Behavioral, and Economic (SBE) sciences, but often come from
new sources outside the SBE domain, and often use non-traditional data
structures. Such unfamiliar data also demands increased information about
provenance, especially the processes by which they were created. Based on
the DDI 4/Moving Forward work, DDI-CDI is designed to meet these emerging
needs for the integration of data in old and new forms, coming from a
variety of domains.

DDI-CDI is integrated with other popular standards and specifications
related to provenance, including PROV-O, the Structured Data Transformation
Language (SDTL), the Validation and Transformation Language (VTL), and
others. Further, it is designed to describe relationships between
proprietary processing languages and tools and the data they consume and
produce.

Issues around *FAIR Data Provenance* will also be explored in a session at
the International FAIR Convergence Symposium on Weds 2 Dec at 15:00-17:00
UTC https://conference.codata.org/FAIRconvergence2020/sessions/260/. The
session will cover a number of relevant initiatives and specifications
including PROV-O, VTL, SDTL and others.  *To attend that session, please
register for FREE at https://bit.ly/FAIRCONVERGE1
<https://bit.ly/FAIRCONVERGE1> using the event passcode FAIRCONVERGE1*

*DDI-CDI and Secondary and Cross-Domain Data Use*

Cross Domain (Data) Integration is particularly important for grand
challenge research areas that necessarily combine data of many types and
provenance, including infectious disease research, disaster risk reduction,
resilient cities research, climate change mitigation and adaptation and so
on. CODATA sees great potential in DDI-CDI as a contribution to the
International Science Council-endorsed Decadal Programme ‘Making Data Work
for Cross-Domain Grand Challenges’. Consequently, CODATA through the
Decadal Programme will partner with DDI in the public review process,
assisting in getting feedback on the specification from different domains
and use cases.

As part of a EOSC Co-Creation Project, CODATA and DDI recently held a
workshop on ‘Applying DDI-CDI to the EOSC’, which looked in particular at
the potential of the variable cascade and the way DDI-CDI deals with
provenance information to assist in combining heterogenous data from
multiple, unfamiliar sources. The presentations and recording from that
workshops are available here:
https://codata.org/initiatives/strategic-programme/decadal-programme/ddi-cross-domain-integration-review-webinar-series/applying-ddi-cdi-to-the-eosc/

The DDI-CDI specification is available both as a formal UML model and as an
XML syntax representation of that model and is designed to align with both
existing DDI specifications and other popular standards. Being model based,
it is intended to support a wide range of technology platforms and tools.
This webinar will help potential adopters provide critical feedback to make
sure that it can meet these goals.

*About DDI-CDI*

Introduction:
https://ddi-alliance.atlassian.net/wiki/download/attachments/860815393/Part_1_DDI-CDI_Intro_PR_1.pdf

Public review page: https://ddi-alliance.atlassian.net/wiki/x/IQBPMw

Complete download package:
https://ddi-alliance.bitbucket.io/DDI-CDI/DDI-CDI_Public_Review_1.zip

Announcement at DDI Alliance website:
https://ddialliance.org/announcement/public-review-ddi-cross-domain-integration-ddi-cdi
Thanks,
Asha
-- 
___________________________

*International (Virtual) FAIR Convergence Symposium, 27 Nov, 30 Nov-4
D**ec: FREE
REGISTRATION NOW OPEN
<https://web-eur.cvent.com/event/c407330f-1b56-49c8-88c4-f51bd7844811/summary>
(code FAIRCONVERGE1)*

*Open Science for a Global Transformation:* Call for Papers for
a Special Collection in Data Science Journal in relation to the UNESCO
Recommendation on Open Science
<https://codata.org/open-science-for-a-global-transformation-call-for-papers-for-a-special-collection-in-data-science-journal/>

*Data for Resilient Cities Podcast Series: *CAG-CEPT and
CODATA Podcast Series
<https://codata.org/initiatives/strategic-programme/codata-connect/cag-cept-and-codata-podcast-series-on-data-for-resilient-cities/>
 | Subscribe <https://crdf.org.in/podcast/data-for-resilient-cities> |
SoundCloud <https://soundcloud.com/dataforresilientcities>

*August 2020 publications*
<https://codata.org/august-2020-publications-in-the-data-science-journal/> in
the CODATA Data Science Journal <https://datascience.codata.org/>

*Stay in touch with CODATA:*

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___________________________

Asha Law | Program Assistant, CODATA | http://www.codata.org

E-Mail: asha at codata.org
Tel (Office): +33 1 45 25 04 96

CODATA (Committee on Data of the International Council for Science), 5 rue
Auguste Vacquerie, 75016 Paris, FRANCE
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