[Call for Papers] First Annual Workshop on Curation and Contextualization of Extreme Datasets (ExtremeDataCuration 2026)

The first annual workshop on Curation and Contextualization of Extreme Datasets (ExtremeDataCuration 2026), co-located with IEEE Big Data 2026, is looking for submissions!


Conference Dates: December 14-17, 2026 in Phoenix, AZ

Submissions Due: October 1st, 2026


We solicit original research papers up to 8 pages in length (including references) about 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 our site for details!


ExtremeDataCurationWorkshop.github.io<http://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