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

User-defined Tags





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

online documentation GitHub Project
online documentation Zoltar Documentation

Additional Information

Contact General Contact


Access / Retrieve Data

Conditions of Use


Data Access

Browse Projects https://zoltardata.com/projects

REST Web Services

Zoltar API https://docs.zoltardata.com/api/


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

Related Standards

Reporting Guidelines

No guidelines defined

Terminology Artifacts

No semantic standards defined

Models and Formats

No syntax standards defined

Identifier Schemas

No identifier schema standards defined

Metrics

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Related Databases

No related databases defined


Implementing Policies

This record is not implemented by any policy.


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)