[CODATA-international] TOMORROW at Virtual SciDatCon 2021: Data Policy and Data Stewardship

Mon Oct 18 13:55:38 EDT 2021

At Virtual SciDataCon 2021 Day Two (Tue 19 October), we have two strands
and two themes: Open Science and Data Policy
<https://codata.org/open-science-and-data-policy-developments-virtual-scidatacon-2021-strand/>,
and Repositories and Data Stewardship
<https://codata.org/data-repositories-and-stewardship-virtual-scidatacon-2021-strand/>
.

The sessions are listed below to make it easier to register if you have not
done so already.
*Strand: Open Science and Data Policy Developments *

*Enhancing access to research data in the health sector
<https://www.scidatacon.org/virtual-2021/sessions/338/>, Tuesday 19
October, 11:00-12:30 UTC: REGISTER
<https://us02web.zoom.us/meeting/register/tZMvduuhpzwiHdbXxWElU91ruJFDsyQWULZ0>*

Open to everyone, this joint CSTP-CODATA workshop, organised in the context
of SciDataCon 2021 (Virtual Conference), discusses the proposed roadmap for
the implementation of the OECD’s Recommendation concerning Access to
Research Data from Public Funding
<https://www.oecd.org/sti/recommendation-access-to-research-data-from-public-funding.htm>
with
specific focus on applications of research data to the domains of
health and climate. The Recommendation aims to establish access and global
sharing of research data as a major policy priority, with the ultimate goal
of making the global science system more efficient and effective.

This first session will focus on how to operationalise the OECD
Recommendation in relation to health data. The accumulation of
health-related data in recent years has provided significant opportunities
for personalised medicine and the prospect of improved prevention,
diagnosis and treatment of diseases. These data come increasingly
from wearable devices, social media and GPS-tracking mobile applications.
This has consequences for data governance, ownership and ethics as data
gathering occurs increasingly outside of the traditional social contract of
healthcare systems with implied consent and privacy protection. The ongoing
pandemic has further emphasised the importance of access to data for the
purpose of rapid advancement of science, which best occurs under conditions
of free flow of ideas and available data. While global sharing and
collaboration of research data has reached unprecedented levels, challenges
remain. Trust in at least some of the data is relatively low, and
outstanding issues include the lack of specific standards, co-ordination
and interoperability, as well as data quality and interpretation. To
strengthen the contribution of open science to the health sector, policy
makers need to ensure adequate data governance models, interoperable
standards, sustainable data sharing agreements involving public sector,
private sector and civil society, incentives for researchers, sustainable
infrastructures, human and institutional capabilities and mechanisms for
access to data across borders.

*Enhancing access to research data for climate research
<https://www.scidatacon.org/virtual-2021/sessions/342/>, Tuesday 19
October, 13:00-14:30 UTC: REGISTER
<https://us02web.zoom.us/meeting/register/tZIscumgpjorE939be5EpGDcj_pjAnlvwY6a>*

This second session will focus on how to operationalise the OECD
Recommendation in relation to climate data. The Science of earth and
environment is emerging as the Science of environmental applications, a
data-intensive discipline that integrates physical, biogeochemical,
engineering, and human processes, to find solutions to
climate challenges. Drastically increasing volumes of data, e.g. through
high-resolution satellite images, create opportunities but also challenges
for data governance, storage and ownership of these data. Further, lack of
standards hamper interoperability while for some data spatial and temporal
gaps exist, often exacerbated by discontinuation of remote field stations
which are expensive to maintain. The resulting concerns around reliability
of data need to be addressed by human capacities to interpret and
interpolate existing data as well as through enhanced incentives and
sustainable infrastructures for further sharing of data. For this purpose,
international co-operation remains indispensable. As stipulated in the 2015
Paris Agreement, open access to all climate data is necessary to monitor
global fluctuations of the climate that may start with local changes but
have a global impact.

*The State of Open Science
<https://www.scidatacon.org/virtual-2021/sessions/379/>, Tuesday 19
October, 16:00-17:30 UTC: REGISTER
<https://us02web.zoom.us/meeting/register/tZEqdOisrDkqGtHtIA4hzZl0unURlqks5Ze6>*

This session will explore the State of Open Science and Open Data from a
policy perspective. Four speakers will describe key developments and
discuss the State of Open Science from a variety of perspectives and then
engage in an open discussion with participants.  What is the state of Open
Science and what should be done to build on the landmark policy
developments of 2021? The speakers will discuss: the UNESCO Recommendation
on Open Science (context, timescales, implications, how to engage and
support it)! SpringerNature’s community-led approach to developing
standardised data policies; Group on Earth Observation’s Data Working Group
and the and the further development of GEO data sharing and data management
recommendations; new initiatives for the CODATA International Data Policy
Committee, including expertise, coordination and data diplomacy! The
session will be introduced and chaired by Simon Hodson, CODATA Executive
Director.
*Strand: Repositories and Data Stewardship*

*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
October, 11:00-12:30 UTC: REGISTER FOR THIS SESSION
<https://us02web.zoom.us/meeting/register/tZUoc-CvqjkrGNDAl11rNNQdd4OriM3CNJO9>*

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
October, 13:00-14:30 UTC: REGISTER FOR THIS SESSION
<https://us02web.zoom.us/meeting/register/tZYqcuGqqj4qGtYfuXQzlEHuA_j3AalzUHQg>*
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
October, 16:00-17:30 UTC: REGISTER FOR THIS SESSION
<https://us02web.zoom.us/meeting/register/tZIkdu6prDIuEtPUse7K3W3mgULxw0cZJm6m>*

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
A GLANCE
<https://codata.org/wp-content/uploads/2021/09/SciDataCon2021-Programme_Registration.pdf>
– FULL
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.*

*Thanks,*

*Asha*

--
___________________________

*SciDataCon Strands: Sessions Exploring Core Interoperability
<https://codata.org/exploring-core-interoperability-virtual-scidatacon-2021-strand/>
- Sessions
on Data for SDGs and DRR
<https://codata.org/data-for-the-sdgs-and-drr-virtual-scidatacon-2021-strand/>
- Global
Open Science
<https://codata.org/global-open-science-virtual-scidatacon-2021-strand/> - Open
Science and Data Policy
<https://codata.org/open-science-and-data-policy-developments-virtual-scidatacon-2021-strand/>
- Data
Repositories and Stewardship
<https://codata.org/data-repositories-and-stewardship-virtual-scidatacon-2021-strand/>*

*REGISTRATION OPEN!
<https://codata.org/events/conferences/scidatacon-2021/>** Virtual
SciDataCon 2021, 18-28 Oct: *register free for each session - PROGRAMME AT
A GLANCE
<https://codata.org/wp-content/uploads/2021/09/SciDataCon2021-Programme_Registration.pdf>
 - FULL PROGRAMME <https://www.scidatacon.org/virtual-2021/programme/>

*ISC-UNDRR Hazard Information Profiles Launched*
<https://codata.org/isc-undrr-hazard-information-profiles-launched/>

*Data-Knowledge-Action for Urban Systems:* New Podcast Series
from CAG-CEPT, CODATA and UHWB
<https://codata.org/initiatives/data-skills/codata-connect/cag-cept-codata-and-uhwb-podcast-series-on-data-knowledge-action-for-urban-systems/>

*DEADLINE EXTENDED! Call for Proposals to Host International Data Week
2025: *deadline 31 January 2022
<https://internationaldataweek.org/call-for-applications/>

September 2021 publications
<https://codata.org/september-2021-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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