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

Hi all,

Reminder that the ExtremeDataCuration 2026 workshop is looking for submissions! The due date is October 1st. Please see the CFP and workshop site below for more information.


## CALL FOR PAPERS

First Annual Workshop on Curation and Contextualization of Extreme Datasets

(ExtremeDataCuration 2026)


Co-located with IEEE BigData 2026, Phoenix, AZ, December 14-17, 2026.


ExtremeDataCurationWorkshop.github.io<http://extremedatacurationworkshop.github.io/>


Assembling extreme-scale datasets for AI and data-intensive analysis was

initially an obstacle in its own right, but we now find ourselves in an

era where we need to think more deeply about managing, versioning,

subsetting, and curating large numbers of such datasets. This workshop

invites submissions that advance the theory, practice, and evaluation of

data curation for large-scale, heterogeneous, and computationally

intensive research environments. Our intent is to build a collaborative

discussion around curation as an active lifecycle process supporting

data quality, provenance, governance, reuse, and responsible analysis

rather than just as a final-stage preservation activity.


Submissions may present new methods, conceptual frameworks, systems,

infrastructure, empirical studies, benchmarks, or lessons learned from

operational deployments. We particularly encourage work that connects

curation requirements with scientific workflows, high performance and

distributed computing, and the preparation and maintenance of data for

AI and machine learning (E.G., AI-Ready).


We welcome submissions 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.


## Topics of Interest

We invite submissions on topics including but not limited to:

- 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


## Submission Types

We solicit original research papers up to 8 pages in length (including

references). Submitted papers should be in IEEE 2-column format and be

formatted to IEEE Computer Society Proceedings Manuscript Formatting

Guidelines available at

https://www.ieee.org/conferences/publishing/templates.html.


## Submission Instructions

Submission information will be provided at the workshop website.

All submissions will be single-blind peer-reviewed. Authors of accepted

papers will receive an invitation for an oral presentation at the

workshop. At least one author of each accepted paper must register as an

author for the workshop. Accepted papers will be published as part of

the IEEE BigData proceedings.


## Generated content disclosure

Authors shall disclose any use of artificial intelligence (AI)-generated

content in the acknowledgments section of their paper. The AI system

used and the specific sections of the paper that contain AI-generated

content shall be identified, accompanied by a brief explanation

regarding the level at which the AI system was used to generate the

content. Authors are fully responsible for all content they submit. For

more information, please consult

https://conferences.ieeeauthorcenter.ieee.org/author-ethics/guidelines-and-policies/submission-policies/.


## Important Dates

  Event                 Date

  --------------------- ----------------------------------

  Submission deadline   October 1, 2026

  Notification          November 4, 2026

  Camera-ready          November 25, 2026

  Workshop              TBD during December 14--17, 2026


## Contact

For questions about submissions, contact the workshop organizers at

extreme-data-curation-organizers_at_googlegroups.com .



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