[CODATA-international] Call for Presentations and Posters: SciDataCon 2022, part of International Data Week: Data to Improve our World
asha at codata.org
Thu Mar 3 07:38:40 EST 2022
We invite abstracts for presentations and posters at International Data
Week’s SciDataCon 2022: Data to Improve our World. The deadline for
proposals is *23:59 UTC on Monday 25 April* *2022*. Submit your paper or
poster proposal at https://www.scidatacon.org/IDW-2022/submit/.
We particularly look forward to welcoming proposals from those working in
Korea and / or on topics relevant to research data in the Korean context.
About SciDataCon 2022 and International Data Week 2022
SciDataCon 2022 <https://www.scidatacon.org/IDW-2022/> is part of
International Data Week 2022 <https://internationaldataweek.org/>, and will
be held virtually and in Seoul, Republic of Korea. The main conference will
take place on 20-23 June 2022 and there will be co-located, hybrid and
virtual events both before and after these dates.
International Data Week 2022 comprises two main events: the 19th Research
Data Alliance Plenary, and SciDataCon 2022. *SciDataCon is a conference
for peer-reviewed research and practice presentations, which covers all
aspects of the role of data in research, society and policy. * As well as
the core themes of data science and data stewardship, Open Science, and
FAIR data and services, SciDataCon shares high-level themes with
International Data Week.
SciDataCon 2022: High-level themes
The overarching theme of International Data Week and SciDataCon 2022 is *Data
to Improve our World*. In our post-pandemic future, humanity has an
opportunity and obligation to address major challenges, including climate
change, sustainable development, and disaster risk reduction. The digital
revolution and the ‘Fourth Industrial Revolution’, the methods and
practices of Open Science, and of FAIR data and services, give humanity the
tools to do so. Embracing these possibilities requires engagement with
society, international collaboration, rigorous research methods, and good
practice in data science and data stewardship. The theme *Data to Improve
our World* explores the nexus of these issues.
The high-level themes of IDW 2022 and SciDataCon include:
- Data to Improve our World: The role of data to address global
- The State of Open Science Globally
- Research Transparency, Accountability, and Reproducibility
- Data, Research and Industry: The Interface between Data-intensive
Research and Innovation
- Science and Society: Engagement and participation
- Empowering and Enabling Society: Data Science and Stewardship
Education and Data Literacy
Presentations and posters addressing these themes are particularly welcome.
SciDataCon 2022: Themes
Proposals addressing any of the core, persistent themes of data and
research typically addressed in SciDataCon are in scope. Further detail
and examples of topics are given below.
- Data and Research: Data issues in relation to major research
questions. This can include, for example, the availability, findability,
accessibility, interoperability, and reusability of data in different
fields of research; the challenges of combining and integrating data; and
the challenges of effective analysis. The discussion of such data issues
should relate concretely and directly to specific research questions.
- Data Science and Data Analysis: Frontier scientific, technical, and
epistemological challenges associated with data in research. Topics
relating to data science and data analysis in particular research domains,
or across domains.
- Data Stewardship: Advances in sustainable, long-term data stewardship.
This could include good practice, organisational and institutional aspects,
and topics related to the FAIR, TRUST, and CARE Principles.
- Policy and Practice of Data in Research: Data policies and practices,
as well as the role of data in scholarly communications. Data policy and
practices can include their development and harmonisation, in addition to
issues around legal interoperability, rights management and privacy; the
value and sustainability of research data infrastructure; and data
publication, metrics, credit, and attribution.
- Data and Education: Educational and training responses to the digital
revolution. This can include mobilising capacity in areas such as data
science and data stewardship; addressing needs and gaps in data skills,
especially for the modern workforce; as well as formal education and
curricula development to increase data literacy.
- Data, Society, Ethics, and Politics: The broader dimensions of data
and data-driven research in relation to society. This can include any
issues concerning the social, legal, and ethical dimensions of data and
research; for example, data sovereignty, the Digital Divide, data openness
and availability, and digital empowerment.
- Open Data, Innovation, Industry and Development: The interactions
among industry, innovation, and data. This could include collaborations and
partnerships with the private sector around any of the topics already
mentioned above, and especially concerning data-driven innovation and
Please note that the simple presentation of research results is not in
scope. The primary focus should always be on the data issues in different
fields of research.
*Submitting an abstract: presentations and posters*
We encourage you to submit your presentation or poster abstract via this
If you have not already done so, you will need to create a SciDataCon
account <https://www.scidatacon.org/author/signup/>. Please note that
creating such an account is not the same as registering for the conference.
*Presentation abstracts must be submitted to the ‘Conference Abstracts’
category. Click [Submit abstract]. *In the submission form, you should
select the [General Presentation Submissions] ‘session’.
Abstracts will be peer reviewed for individual quality and, if accepted,
will be assigned to an accepted session or grouped into thematic sessions
by the SciDataCon Programme Committee. Accepted abstracts will be
available from the conference website and will form a persistent
collection, so please consider the following recommendations carefully:
- Please submit your proposal of a length appropriate to the
intervention. For example, we recommend that the proposal for a *research
paper should be 600-900 words* and for a *practice paper 300-600 words*.
These are guides and please use your judgement. We strongly discourage
proposals of more than 900 words.
- The proposal should clearly specify the core idea, the context of the
research or practice, and the audience to whom it is relevant. *
developed proposals will not be selected. *
*Poster abstracts must be submitted to the Conference Posters category.
Click [Submit poster abstract]. *In the submission form, you should select
the [General Poster Submissions] ‘session’.
Posters will appear in dedicated virtual and in-person poster sessions.
Posters can often be a more effective way of communicating key technical
features of a paper and providing a visual summary that really engages the
viewer. For a Poster Abstract we suggest 300-600 words and certainly no
more than 900 words in length.
Next steps and timescales
Session proposals have already been submitted and selected sessions will be
published in the preliminary programme on 21 March 2022.
We encourage you to submit your presentation or poster abstract as soon as
possible. If selected, presentations submitted before 21 March will be
organised into thematic sessions by the SciDataCon Programme Committee as
Presentations proposed after 21 March can be submitted directly to an
organised session if sessions organisers have allowed room for open
submissions; or can continue to be submitted to the general presentation
*Selected presentations will be notified no later than 16 May 2022, when we
will also publish the final programme.*
We encourage you to submit your presentation or poster abstract via this
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February 2022 publications
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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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