[CODATA-international] Panel Discussion Event: UN Data Forum, Pre-Recorded Session ‘Multi-Stakeholder Data Bridges: making data work for cross-domain grand challenges’

Asha CODATA asha at codata.org
Fri Oct 9 08:17:07 EDT 2020

has convened a pre-recorded session ‘Multi-Stakeholder Data Bridges: making
data work for cross-domain grand challenges’ in this years Virtual UN Data

*We will be holding a live panel discussion on the session at 15:00 UTC on
Friday 16 October.  Please register
here: https://attendee.gotowebinar.com/register/5577378695163481357

*Please watch the recording of the session in advance of the discussion
event.  The recording for the session will be made available in the **UN
Data Forum Attendify*
12 October and you may also view it **here and below*

Register for the UN Data Forum at: https://unstats.un.org/unsd/undataforum/


   - Virginia Murray, Public Health England and CODATA, ‘UNDRR / ISC Sendai
   Hazard Definition and Classification Review’
   - Remo Lalli, United Nations, ‘Digital Document Management in the United
   Nations: a new paradigm’
   - Cecilia Elizalde, United Nations, ‘Machine-readable resolutions’
   - Chifundo Kanjala, London School of Hygiene and Tropical Medicine,
   ‘Infectious diseases cross-site data harmonisation in Africa’
   - Alejandra Gonzalez Beltran, Science and Technology Facilities Council,
   ‘Data bridges for scientific and official data integration’
   - Arofan Gregory, a Metadata Consultant working with the Data Documentation
   Initiative and with CODATA, ‘DDI-CDI: Data Documentation
   Initiative-Cross Domain Integration’ and ‘Summary of the Session Themes’

Recording of the Session

Session Description

Solving today’s global grand challenges demands that both scientific and
policy research embrace new innovations and synergies as well as multi-
stakeholder partnerships. In order to help build the bridges needed between
different data ecosystem domains and communities, the International
Science Council,
acting as the global voice for science, and working with the UN, has
determined the need to launch the CODATA Decadal Programme to build the
international communities of practice needed to increase large-scale
usability of data across the scientific and policy spheres.
Analyses can benefit from cross-cutting techniques not restricted to those
of a single domain. International data used to monitor policy are a
fundamental ingredient in many research projects, both in academia and for
policy research. They facilitate and improve the quality of research on the
ground and can also be improved through the incorporation of data from the
scientific community and elsewhere. Creating a two-way bridge between
scientific research data and official data is vital.

New technologies leverage huge amounts of data, relying on semantic
integration, openness, and the use of machine-learning. They require a
massively increased use of data from both traditional and new sources. The
plethora of formats and semantics, and the paucity of metadata create
barriers to employing the new data-intensive techniques. We do not need new
standards, new classifications, and new technology approaches, so much as
we need to make those we already have work together effectively through
multi-stakeholder partnerships on a broad scale.

Initial work has started through a series of workshops, projects and case
studies, bringing together experts from diverse communities. The effort is
use-case driven, covering urban resilience, disaster risk reduction, and
infectious disease. These efforts are producing early draft guidelines –
grounded in the FAIR data principles – to help build the communities of
practice for the use of data across domain boundaries. The FAIR data principles
are gaining traction across the global data ecosystem and being embraced by
multiple stakeholders, including international organizations, public
sector, civil society, academia and the business community.

Building on existing technical standards such as DDI and SDMX, on the
wealth of semantic technologies from the W3C and elsewhere, and on
machine-learning and data science techniques, the Decadal Programme will
bring a cross-disciplinary, trans-community approach to how we manage,
combine and use data. This session will provide an overview of these
efforts, covering data documentation, technology, semantic integration,
dissemination, and other key aspects.





*International Virtual FAIR Convergence Symposium 2020, 30 Nov-4 Dec:*
 | Call for posters and lightning talks, deadline 31 Oct

*Data-Driven Governance in Sustainable Cities: *New models
for public-private data sharing: CODATA Connect Webinar, 19 Oct

*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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