Hello everyone,

The deadline for submissions to the First Annual IEEE Workshop on Curation and Contextualization of Extreme Datasets (ExtremeDataCuration 2026), co-located with IEEE BigData has been EXTENDED to Friday Oct 9, 11:59pm AOE.

As a reminder, we are accepting submissions up to 8 pages in length from researchers and practitioners across data curation, data management, scientific computing, information science, AI/ML, and related disciplines. Interdisciplinary contributions and papers that identify unresolved technical, organizational, or governance challenges are especially encouraged.

We are looking for papers about any of the following topics:
- Practical experiences with success and failure of extreme scale dataset management
- Foundations of data curation: theory, life cycle models, conceptual frameworks, and evaluation models
- Provenance capture, representation, querying, validation, and management at scale
- Data life cycle curation of heterogeneous datasets to preserve privacy and community access requirements
- Actionable FAIR properties in computational science workflows: beyond FAIRness checklists, including limits, tradeoffs, and complementary curation mechanisms
- Data quality assessment, observability, validation, repair, and remediation for large-scale heterogeneous datasets
- Curation for AI/ML readiness including privacy, dataset versioning, and data life cycle management
- Automated and AI-assisted curation, including human-in-the-loop approaches
- Life cycle management and data curation in HPC, cloud, and distributed computing environments
- Curation tooling, infrastructure, middleware, and workflow-integrated services
- Case studies and lessons learned from scientific and enterprise deployments
- Benchmarks, metrics, and evidence for curation effectiveness and reuse outcomes


Please see the conference site for more details:
https://extremedatacurationworkshop.github.io/

Thank you,

Polina Shpilker
Postdoctoral Research Associate
Workflow and Ecosystem Services
Oak Ridge National Laboratory
1 Bethel Valley Road, Oak Ridge, TN 37830