FDO2022 – 1st International Conference on FAIR Digital Objects
“Turning the Internet into a meaningful data space”
We have been living a data revolution for decades now. Every day, peta bytes of information of all kinds are generated and made accessible on the Internet.
The amount of data is indeed so massive and varied that it is not feasible for humans to make sense of it using current processes and standards. What to do then?
We can keep on creating and publishing information but will we manage it, use it, interpret it and exchange it efficiently?
Successful management, exchange and interpretation of knowledge in an ever-growing information tsunami will depend on highly automated methods dealing with combined data. This will require artificial intelligence but also robust and informative ways to store and disseminate data and metadata. Here is where one crucial concept shows up: FAIR Digital Objects (FDOs).
FAIR is about making data findable, accessible, interoperable and reusable both for humans and machines. FAIR digital objects have shown key capabilities to simplify and scale the use of data across domains, increase trust in data and ease the handling of high volumes of information.
The developments are there. Now we need widespread consensus.
The 1st International Conference of FAIR Digital Objects will bring together for the first time at this scale key technical, scientific, industry, and science-policy stakeholders with the aim to boost the development and implementation of FDOs worldwide and transform the Internet into more than just a data space: into a meaningful data space.
Call for abstracts
The conference has three themes, two of which, research and practice, are the subject of this call:
- Research on the FDO paradigm as a means to structure the domain of knowledge, and how to facilitate the practical work of science and industry.
- Practice on the design and building of FDO-consistent infrastructures, systems such as repositories, and tools that operate on data.
- Policy– and decision making perspectives that facilitate global adoption and employment of policy frameworks related to the implementation of data spaces populated with FDOs.
Deadline for abstract submission: 26 June 2022
