ODAK 2022 : Symposium on Open Data and Knowledge for a Post-Pandemic Era

**** Contributions ****
We seek different types of contributions:

1. Research articles

- Full papers: innovative research, in any of the topics below (maximum 8 pages), with explicit reporting of evidence of results.
- Case Studies: update of ongoing projects, in any of the topics below (maximum 5 pages), including national or international multidisciplinary projects.
- Posters: visual communication on topics of interest to be displayed at the event in an open area, together with an associated report (maximum 2 pages) describing the topic, with explicitly stated key points, a textual description introducing the poster and the described project and a textual explanation of graphical diagrams or images reported in the poster.

Both academia and industry contributions are welcome. These contributions are solicited (but not limited to) in the following topics:

- Secure and privacy of open data and knowledge
- Interoperability and semantic web
- Large scale digitisation of analogue data, both 2D and 3D.
- FAIR technologies, including standards and ontologies
- Data quality including quality of data content and data format
- Data analytics, including artificial intelligence, of aggregated large-scale datasets
- Visualisation (inc. immersive environments) of large-scale datasets
- Human-computer interaction with open data and knowledge
- Business aspects and sustainability of open data
- Applications of open data and knowledge in Health, Public Sector, Education and Cultural Heritage


2. Panel Sessions
We welcome expressions of interest to organise or contribute a talk to panel sessions exploring cross-cutting areas of interest, including but not limited to the following:

- Towards the interoperability, including challenges, technologies and future directions
- Security and privacy, including software system engineering considerations, as well as IPR and legal aspects
- Quality validation, including priorities such as quantity vs quality.
- Business models for tackling open data, including success stories, insights and best practises
- Ethics of open sharing, including licensing and other considerations.
- Any other cross-cutting topic

If you are interested in contributing to these panels, please send a short abstract (max 500 words) with the topic contribution and speakers. We plan to produce a summary of these panel sessions to accompany a publication for wider dissemination of these topics.

**** Important Dates ****
Abstract Deadline: Mar 18, 2022

Submission Deadline: Mar 25, 2022

Notification Due: Apr 15, 2022

Final Version Due: Apr 25, 2022

Event dates: 30 June - 1 July