posted by user: Gefion || 1626 views || tracked by 2 users: [display]

DS@WebSci 2019 : Data Sharing - Trusts, collaboratives, co-ops. What are they and why does it matter? Workshop at ACM Web Science 2019

FacebookTwitterLinkedInGoogle

Link: https://generic.wordpress.soton.ac.uk/datatrustsworkshop/call-for-papers/
 
When Jul 30, 2019 - Jul 30, 2019
Where Boston, MA
Submission Deadline Apr 26, 2019
Notification Due May 8, 2019
Final Version Due May 31, 2019
Categories    data sharing   web science   data trusts
 

Call For Papers

Open Data has been a goal pursued primarily by governments, to unlock previously inaccessible value and accelerate growth of digital businesses. This has been tremendously successful in the US as well as across Europe. In the scientific community, there has also been extensive work on the infrastructure required to support the sharing and use of vast amounts of data through Data Commons. While open data is open to all, there is also benefit in sharing data that is not public. To enable the uptake of the new opportunities arising with data sharing, new institutions are required. These should address the complications of data sharing processes, and consolidate the interests of data subjects, processors and owners. This consolidation could happen through the – still conceptual – frameworks of Data Trusts, Data Collaboratives or Data Cooperatives, which are intended to simplify the use of data by enabling an environment in which is can be shared while maintaining the trust of all parties involved. Due to their potentially central role in data sharing environments, they are also of particular interest for academics from a broad variety of fields, including Computer Science, Law, Political Science, and Sociology. There is very little published research treating data sharing institutions as an object of study in their own right and placing them in a broad socio-technological context. This workshop aims to investigate the potential for coherent multidisciplinary research into the institutional frameworks that enable the sharing of data, what their development means for society as a whole, how they might work, and why this matters.

Related Resources

ICDM 2024   IEEE International Conference on Data Mining
ASONAM 2024   ASONAM 2024 - Call for Research/Industrial/Tutorials/Demos/PhD-Forum/Multidisciplinary Contributions - The 16th Intl. Conf. on Advances in Social Networks Analysis and Mining
DSIT 2024   2024 7th International Conference on Data Science and Information Technology (DSIT 2024)
ICBICC 2024   2024 International Conference on Big Data, IoT, and Cloud Computing (ICBICC 2024)
BDCAT 2024   IEEE/ACM Int’l Conf. on Big Data Computing, Applications, and Technologies
Singapore--CDICS 2024   The 2024 2nd International Conference on Data, Information and Computing Science (CDICS 2024)
DSIT 2024   7th International Conference on Data Science and Information Technology
IEEE BigData 2024   2024 IEEE International Conference on Big Data
AIKE 2024   7th IEEE International Conference on Artificial Intelligence and Knowledge Engineering
HiPC 2024   31st IEEE International Conference on High Performance Computing, Data, and Analytics