[CODATA-international] Register Now: Webinars – DATA Description with the DDI-Cross Domain Integration (DDI-CDI)

Asha CODATA asha at codata.org
Thu Jul 23 05:22:31 EDT 2020

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 specification a
series of general introductory webinars have been held. Perhaps you already
took part in one of them or would like to have a look at them? Please
review the slides and recordings

To follow up on this, we are now launching a second series of virtual
events 1) for specific audiences, and 2) about specific topics.

We are writing to you to invite you to an event focusing on *data
description with DDI-CDI*, which will be held on Wednesday 12th August at
14:00 UTC and we plan to host a follow-up workshop, a week later, to allow
more detailed discussion on 19th August 2020 at 14:00 UTC. Attendees are
asked to register using the following links:

Presentation and discussion, 12 August:

Discussion workshops, 19 August:

The webinar on data description focuses on:

   - understanding the meaning of data;
   - cross-domain exchange;
      - harmonization, including e.g.the same measurement represented in
      different data structures, and
      - different measurements are being compared;
   - transformation across structures and platforms

*About DDI-CDI*

DDI-CDI is a model-driven specification that is designed to provide support
for the wide number of use cases that use data from multiple sources and
domains. It originates from the  Social, Behavioral, and Economic (SBE)
sciences, but is designed to be applicable to data coming from any domain.
Integrating data across domain and disciplinary boundaries requires a
flexible mechanism for describing disparate data sources, and their
provenance and processing. DDI-CDI is designed to meet these emerging needs
for the integration of data in old and new forms, coming from a variety of

Cross Domain (Data) Integration is particularly important for grand
challenge research areas that necessarily combine data of many types. CODATA
<https://codata.org/> sees great potential in

DDI-CDI as a contribution to the International Science Council
<https://council.science/>-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.

DDI-CDI aims to be technology agnostic and to be adaptable to any platform
or representation. At the moment the DDI-CDI specification is provided as a
formal UML model and as an XML syntax representation of that model: we are
keen to adapt it to other technologies and representations, including RDF,
JSON, Python etc.

*To prepare for the event*

At the event data description using DDI-CDI will be introduced, followed by
a structured discussion between the audience and people from the DDI-CDI
team, with the event lasting for an hour.

To prepare for the event, please take a look at the draft presentation

We would also kindly ask you to think about the following questions in
advance of the event:

   - Are there data structures that you commonly use that we don’t seem to
   have covered?
      - What are they?
      - Do you see potential in DDI-CDI for needs that you currently
      haven’t met?
   - What have we missed?

We are looking forward to meeting you at the event!




*CODATA International Data Policy Committee: *
Mark Leggott appointed as chair

*NEW DATES, NEW DEADLINE! **International Virtual FAIR
Convergence Symposium 2020, 30 Nov-4 Dec:* Registration Open
 | Call for Sessions, deadline 30 Sept
<https://conference.codata.org/FAIRconvergence2020/> | Call for posters and
lightning talks, deadline 31 Oct

*Open Science for a Global Transformation:* CODATA-coordinated submission
to the UNESCO Open Science Consultation

*CODATA Virtual General Assembly 2020:* Report
on Voting, Presentations, Supporting Documents and Recording

*June 2020 publications*
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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