[CODATA-international] Data Repositories and Stewardship: Virtual SciDataCon 2021 Strand

Asha CODATA asha at codata.org
Mon Oct 18 07:31:17 EDT 2021

Virtual SciDataCon 2021 <https://www.scidatacon.org/virtual-2021/> is
organised around a number of thematic strands.  This is the fifth of a
series of announcements presenting these strands to the global data
community. Please note that registration is free, but participants must
register for each session they wish to attend.

The World Data System <https://www.worlddatasystem.org/> of the International
Science Council <https://council.science/> is the sister organisation to
CODATA and the co-organiser of Virtual SciDataCon 2021. WDS is a membership
organisation that promotes ‘long-term stewardship of, and universal and
equitable access to, quality-assured scientific data and data services,
products, and information across all disciplines in the Natural and Social
Sciences, and the Humanities.’ The WDS International Programme Office has
recently moved to Oakridge, Tennessee, USA.  Three sessions on Tuesday 20
October look at various issues of concern for data repositories and for
data stewardship worldwide.

*Cross-border Collaboration in Developing Data Stewardship for Regional and
Global Outreach of INFN Open Access Repositories
<https://www.scidatacon.org/virtual-2021/sessions/339/>, Tuesday 19

The Italian National Institute of Nuclear Physics (INFN) has designed a
prototype of Open Access Repository (www.openaccessrepository.it), which
reuses the standard-based Invenio (back-end) and Zenodo (front-end) digital
asset management systems (DAMS) with some extensions regarding
the deployment model and the authentication. This prototype has been
deployed in Ethiopia, Somalia and is in the process of being installed in
Palestine, in Côte d’Ivoire and in further Middle East and
African countries. Due to the same structure of the repositories and the
similar academic culture in the countries, Ethiopia, Somalia, Côte d’Ivoire
and Palestine are facing similar needs. Cross-border collaboration in the
further development and operation of those repositories as well as on
training activities for repository managers and users are key to develop
the national repositories to regional and global open science repositories
that empower and enable societies and act as interfaces between research
and innovation. The centre piece of data that improves our world is the
data steward or the data stewardship. Due to the fact that Open Access
Repositories in Ethiopia, Côte d’Ivoire, Somalia and Palestine have
the same starting point, the National Research and Education Networks
(NREN) will initiate a discussion in order to find a way, how they could
cooperate in developing a harmonised training for data stewards.

*The State of Documenting and Reporting Data and Information Quality for
Supporting Open Science
<https://www.scidatacon.org/virtual-2021/sessions/285/>, Tuesday 19

Knowledge about the quality of data and information is important to support
informed decisions on the (re)use of individual datasets and is an
essential part of the ecosystem that supports open science. Data and
information quality is essential for appropriate and effective use of data
in research and/or applications. Especially with the emphasis on open data,
as well as availability of data at very little or no cost, the data,
metadata, and software are accessible to a much broader community of users,
potentially across disciplines and international boundaries. Also, given
the big data era, where abundant data products and services are available
from a large number of sources for data-intensive applications, data
quality information is especially important to ensure successful data
reuse. We will explore activities and processes that contribute to planning
for, improving, documenting and reporting, providing access to, and using
data and information quality from various disciplines, ranging from
Earth and space sciences to social sciences, covering a variety of data
such as observational, experimental, model and citizen science data. The
purpose of this session is to promote such information exchange and the
resulting cross-discipline collaborations.

*Making Your Data Center and Services Ready for AI: Case Studies
<https://www.scidatacon.org/virtual-2021/sessions/310/>, Tuesday 19
Scientific data centers across the world are expected to adapt and
modernize their data management to support rapidly evolving AI and machine
learning-based cross domain research. Data centers and repositories are
currently evaluating various strategies such as effective use of AI/ML for
their data management operations and also provide AI-friendly data access
services to the user community. Data operations such as data quality
analysis, synthesis data product generations, data reduction where the data
is generated, on-the-fly conditional queries are currently getting upgraded
with the use of AI and machine learning. In addition, data centers that are
successfully serving data to the broader user community are looking at
improving data sharing and interoperability using AI. Although datasets may
technically be interoperable, integration or communication among these
datasets often fails because of a lack of cross-domain ontologies
and standards, significantly impacting data sharing with inter-domain
AI-based research activities. In this session, data center leaders will
share their recent experience in adapting AI to improve the data management
components and enable AI-friendly data services to user communities.

*Virtual SciDataCon 2021 <https://www.scidatacon.org/virtual-2021/> is
organised by CODATA <https://codata.org/> and the World Data System
<https://www.worlddatasystem.org/>, the two data organisations of
the International Science Council <https://council.science/> – PROGRAMME AT
PROGRAMME <https://www.scidatacon.org/virtual-2021/programme/> – please
note that registration is free, but participants must register for each
session they wish to attend.*



*SciDataCon Strands: Sessions Exploring Core Interoperability
- Sessions
on Data for SDGs and DRR
- Global
Open Science
-** Open
Science and Data Policy

<https://codata.org/events/conferences/scidatacon-2021/>** Virtual
SciDataCon 2021, 18-28 Oct: *register free for each session - PROGRAMME AT
 - FULL PROGRAMME <https://www.scidatacon.org/virtual-2021/programme/>

*ISC-UNDRR Hazard Information Profiles Launched*

*Data-Knowledge-Action for Urban Systems:* New Podcast Series

*DEADLINE EXTENDED! Call for Proposals to Host International Data Week
2025: *deadline 31 January 2022

September 2021 publications
the CODATA Data Science Journal <https://datascience.codata.org/>

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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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