databases > bsg-d001769

in development Zoltar

General Information
Zoltar is a research data repository that stores forecasts made by external models in standard formats and provides tools for validation, visualization, and scoring. Zoltar can host real-time or retrospective forecasting challenges, competitions, or research projects, with users specifying the forecast targets.

Homepage https://zoltardata.com/

Countries that developed this resource United States

Created in 2020

Taxonomic range

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Awaiting DOI assignment.


This record is maintained by cornell

Record added: Dec. 16, 2020, 2 p.m.
Record updated: Dec. 16, 2020, 2 p.m. by The FAIRsharing Team.



Support

General

Additional Information



Access / Retrieve Data

Conditions of Use


Data Access


REST Web Services



Publications

The Zoltar forecast archive: a tool to facilitate standardization and storage of interdisciplinary prediction research (Preprint)

Nicholas G Reich, Matthew Cornell, Evan L Ray, Katie House, Khoa Le
arXiv 2020

Link to Publication

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Models and Formats

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Credit

Record Maintainer

  • This record is maintained by cornell

Funds

Maintains

Grant Number(s)

  • R35GM119582 (National Institute of General Medical Sciences (NIGMS), Bethesda, MD, USA)