The Sheridan Libraries at Johns Hopkins University is excited to announce the inaugural Johns Hopkins Open Data Prize, created to recognize achievements in data sharing and open science. We invite submissions from Hopkins faculty, researchers, staff, and students who have created open datasets, creatively used existing open data, built technologies that advance the use or dissemination of open data, or conducted applied research centered around open data.

Two prizes of $5,000 each will be awarded. Winners will also be invited to give a short talk about their project during the Library’s Love Data Week, February 10-14, 2025. 

Categories
Projects will be considered in four areas, those that:

  • created and shared new open data
  • creatively used existing open data
  • built technologies that advance use or dissemination of open data
  • conducted applied research centered on open data

By open data, we mean data that are openly licensed and freely accessible to and reusable by other researchers, institutions and/or communities, e.g., through data repositories or public websites.

Eligibility
Nominees must be affiliated with Johns Hopkins. Self-nominations are encouraged. The prize will be split among members for group submissions.

Projects should be nominated at a stage when the product is already openly accessible and provide evidence of impact, where possible. For example, for projects creating data or infrastructure, please include links to these products. For projects creating technologies, advancing dissemination, or conducting applied research, please provide descriptions of applications to research, policy, or practice. Note this prize is not a grant for future research, but a recognition of existing accomplishment. We welcome nominations of ‘small data’ projects, recognizing the value of an individual’s investment in open data, especially in disciplines where these practices are new or not yet established.

Nominations
To nominate a project, please complete the below form by December 6th, 2024. You are welcome to nominate yourself, someone else, a group or a lab.

As part of the nomination process, you will be asked to upload a 1-2 paragraph (up to 600 words) description of the project. This should include:

  • A description of the context and impact of the project and the relevance of open data, in language broadly accessible to people from other disciplines. Links or figures can be included.
  • The role that the nominee(s) played in the project.
Submitter Name(Required)
Name of the person submitting the entry.
E.g. Assistant Professor, Chemistry
You can nominate yourself, another individual, a team, or a lab.
Primary Contact Name
If nominating a group or someone other than yourself, please put the primary contact for the entry here, along with their contact information and affiliation.
Please include links to publicly available datasets, repositories, publications, or other resources related to your submission.
Project Submission Category(Required)
Please note which category your submission falls into; you may select all that apply.
Please provide a description (no more than 500 words) of the context and impact of the project and the relevance of open data, in language broadly accessible to people from other disciplines.