CIAT Open Data Sprint 2019

(International Center for Tropical Agriculture)

进球:

有50个新, quality assured and properly annotated datasets published by CIAT in approved FAIR repositories in 2019.

持续时间:

The data sprint will run until Dec 20, 2019

Eligibility:

  • All datasets published by CIAT staff during the period of 1st 2019年1月1日至20日th December 2019 will be eligible
  • The datasets need to be quality checked, include complete metadata and well-defined variables annotated with ontologies where possible.

比赛规则:

  • The CIAT data team will award one dataset competition point to authors of every qualifying dataset submitted to the CIAT Dataverse or other approved repositories. For datasets with multiple data authors, each author receives one point.
  • Authors with datasets that have both the metadata and data variables annotated with appropriate ontology or vocabulary will receive an extra point.
  • Authors of datasets that are part of a peer-reviewed data paper will also receive an extra point.
  • In cases where individuals are affiliated to more than one research area or one region.  Both areas, or regions will be awarded one competition point during corporate tallying.

奖:

类别

1. Individual with the most number of open 数据集 published by November 15 2019. 5000美元 to cover any of the following activities:
•数据管理支持
• Digital data collection or data visualization support
• Cost of participation to the CGIAR big data convention or one open science conference
2. Research Area with the most number of open datasets published by November 15 2019 7000美元 to cover any of the following activities:
•数据管理支持
• Digital data collection support
• APCs for three open access journal articles that have associated replication data
3. Individual with most number of dataset at regional level (The overall competition winner will be ineligible for this prize) 1000美元 each to cover any of the following activities:
•数据管理支持
• Digital data collection or data visualization support

Top CIAT Authors – 数据集 – 2019

生成的 wpDataTables

Kindly contact the CIAT Data Management and Research Methods team on CIAT-DM@cmvale.com for further information or support.