The NNLM Data Visualization Challenge, hosted by the National Evaluation Center for the NNLM, will provide inspiration, reveal insights, and showcase skills in visualizing open datasets. The Challenge encourages participants to push the boundaries of their skills by testing out new tools, techniques, or approaches, and publicly demonstrating their best visualizations.
Submissions have now closed for the 2023 NNLM Data Visualization Challenge. However, we extend a warm invitation for you to participate once again when the event returns in 2024.
The winners of the 2023 Data Visualization Challenge have been announced! See the public announcement and watch for a link to the repository of the winning visualizations. We extend our congratulations to all our incredible winners! We would also like to express our gratitude to every participant who took part in this event. Thank you for sharing your talent and passion with us all!
Overview
The NNLM Data Visualization Challenge allows you to:
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Showcase an open dataset. You can use one or more sources of data that is openly available, such as Data.gov, Kaggle.com, Census.gov.
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Focus on any audience. You can focus your efforts on designing visualizations for one or more audiences, such as policy makers, faculty and administration, or the public.
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Use your choice of tools. You can use one or more tools, such as: Excel, Tableau, Google Charts, PowerBI, and programming languages/libraries such as R, Python, SPSS, SAS.
Submissions will be accepted from Wednesday, February 1, 2023 through Friday, March 31, 2023. Submissions can be static, or dynamic, such as animated, or web-based interactive stories and may include, but are not limited to maps, charts, graphs, data art, figures from papers or posters, infographics, and data dashboards. Submissions should be submitted as a file (pdf, png, etc.) or link (url, github page, etc.). Any submissions will be shared in an open gallery in an online repository. The top visualizations will be given $500 awards to be used for professional travel, presentation at a conference, open access publishing, or skill development related to data visualization.
If you have any questions or trouble uploading your submissions please reach out to the National Evaluation Center at nec-dataviz@northwestern.edu
Timeline
Important Dates
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Submissions open by 10 am (Central Time) on February 1, 2023 (Wednesday) through 3 pm (Central Time) on March 31, 2023 (Friday)
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Award notifications will be sent to the NNLM Network by mid-April 2023
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Visualizations available for public viewing in open repository collection by early May 2023
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Awards must be spent by February 2024
The National Evaluation Center (NEC) reserves the right to change dates as needed. All dates are approximations. Participants will be notified of date changes on this website.
Awards
Audience
You can focus your efforts on designing visualizations for one or more audiences, such as policy makers, faculty and administration, or the public.
Single Data Visualization (static or dynamic)
A singular data visualization that is either static or dynamic (i.e. a map, graph, chart or diagram).
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First Place: $500
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Bright Future Award: $500
Complex Data Visualization (static or dynamic)
A complex data visualization, such as an infographic or dashboard, often contains multiple data visualizations and may also contain narrative and graphics.
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First Place: $500
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Bright Future Award: $500
Rules
Eligibility
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Anyone who has taken part in NNLM activities (e.g., training or grant programs), any health sciences library staff, health sciences librarians working in non-library settings, library or information students, or NNLM staff members are eligible to apply.
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Awards are restricted to individuals who are 18 years or older and based in the United States.
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Collaborations are welcome but any award will be granted to the individual person submitting the entry. Any group entry should include the list of contributor names.
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Members of the National Evaluation Center are not eligible to win awards. However, they may enter visualizations that can be included in the full gallery housed in an online repository.
Submissions
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Only one submission per individual or group is allowed for either or both categories (e.g Single Data Visualization or Complex Data Visualization)
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Any work presented must be your original creation and be fully owned by you.
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Your submission must not supply untruthful, incomplete, inaccurate or misleading information.
Datasets
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All submissions must contain data that is publicly available at no-cost and does not contain data that should remain confidential or private. You must have rights to use the data. More than one dataset may be used.
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The following data sources are examples of the types of datasets that can be used (but are not limited to):
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Data Discovery from the U.S. National Library of Medicine
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Data.gov from the U.S. federal government
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Kaggle.com from Google LLC
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Census.gov from the U.S. Census Bureau
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Health Information National Trends Survey from the U.S. National Cancer Institute
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National Health and Nutrition Examination Survey from the U.S. Center for Disease Control and Prevention
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Demographic and Health Surveys Datasets from USAID
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Global Health Observatory data repository from the World Health Organization
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HealthData.gov from the U.S. federal government
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Data and Statistics from the U.S. Center for Disease Control and Prevention.
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Awards
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Submissions will be judged separately for first place and the Bright Future Award. The Bright Future Award is given to submissions from beginners or advanced beginners in data visualization who show promise in their work and dedication to improving their skillset over time.
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The National Evaluation Center reserves the right to not provide an award for any category.
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Awards are restricted to individuals who are 18 years or older and based in the United States.
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Collaborations are welcome but any award will be granted to the individual person submitting the entry. Any group entry should include the list of contributor names.
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Awards must be spent by February 2024 and used only for professional travel, presentation at a conference, open access publishing, or skill development related to data visualization. Any travel funds must be spent for travel only within the U.S.
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Each submission can contain a basic budget for the award. You DO NOT need to attach an award budget to the submission. If your submission is selected to receive the First Place or Bright Futures Award, you will need to provide the National Evaluation Center (NEC) with a simple budget (see template here) that includes information about how you will spend the award.
Licensing terms
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By entering you give the National Evaluation Office the non-exclusive right to publish your work and/or screenshots of it for social media, on websites, in emails and reports, and well as deposit your submission into an online repository. Any such communications about the contest entries or winners will properly attribute the creator(s) of the work.
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Submissions will be made openly available in an online repository. You must choose a Creative Commons License for your work.
How to Submit
Submission Guidance
A link to an online submission form will be provided on this webpage once it is open.
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Submissions open: 10 am (Central Time) February 1, 2023 (Wednesday)
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Last day for submissions: 3 pm (Central Time) March 31, 2023 (Friday)
Submissions should be submitted as a file (pdf, png, etc.) or link (url, github page, etc.). If you have any questions or trouble uploading your submissions please reach out to the National Evaluation Center at nec-dataviz@northwestern.edu
Fields in the online submission form
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Please enter your full name. (Collaborations are welcome but only one individual can submit.)
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Please enter your email address.
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What category is this submission for? (You may enter only one visualization per category.)
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Single Data Visualization (static or dynamic)
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Complex Data Visualization (infographic or dashboard)
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Title of data visualization:
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Abstract (Limit to 500 words, not including references) Includes:
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Description
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Data Source(s)
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Visualization tool(s) used
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Intended Audience
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References (as needed)
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Submission File (up to 1GB). Content options are PDF, Document (DOC, DOCX, TXT, ODT), Spreadsheet (CSV, XLS, XLSX, ODS), or Graphic (JPG, PNG, GIF).
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Submission Link (for files over 1GB, web or interactive submissions).
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Years of experience with data visualization (approximation)
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Beginner (0-3 years)
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Proficient (4-5 years)
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Expert (6 years and beyond)
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Submit award budget
You DO NOT need to attach an award budget to this submission. If you have the award budget ready to submit, you may submit it now. If your submission is selected to receive the First Place or Bright Futures Award, you will need to provide us with a simple budget that includes information about how you will spend the award. See template below.
Budget Template for Data Viz Challenge.xlsx
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Awards must be spent by February 2024 and used only for professional travel, presentation at a conference, open access publishing, or skill development related to data visualization.
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Any travel funds must be spent for travel only within the U.S.
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Collaborations are welcome but any award will be granted to the individual person submitting the entry.
10. I agree:
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I am eligible to apply to the NNLM Data Visualization Challenge. Eligibility includes anyone in the United States, who is at least 18 years old, and who has taken part in NNLM activities (e.g., training or grant programs), any health sciences library staff, health sciences librarians working in non-library settings, library students, or NNLM staff members.
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My submission is my original creation and is fully owned by me.
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My submission does not supply untruthful, incomplete, inaccurate or misleading information.
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My submission includes data I have the rights to use. The dataset is publicly available at no-cost and does not contain data that should remain confidential or private.
11. Distribution License and Deposit Agreement
I grant the Network of Libraries of Medicine (NNLM) a non-exclusive license and royalty-free permission to distribute and use my submission and accompanying text in perpetuity in their original forms and/or modified forms to:
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promote the visualization challenge,
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deposit into an online repository,
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and highlight projects taking place for the NNLM.
I have the necessary rights, permissions, and/or licenses to grant the NNLM these rights. I understand that this means that my submission and accompanying text in its original forms and/or modified forms, may be incorporated in any and all media. I understand that my submission and accompanying text will be deposited as an open access record with public visibility (for both metadata and associated files) in an online repository. If I wish to revoke permissions to use my submission and accompanying text, I must do so in writing to NNLM. By accepting this agreement, you still retain copyright to your submission. The NNLM will clearly identify your name as the creator and will not make any alteration, other than as allowed by this license, to your submission and accompanying text. By accepting this license, you acknowledge that you have read and agreed to the terms of this agreement and all related NNLM policies.
12. Creative Commons Licensing. Creators must choose a creative commons license for their submissions and accompanying texts.
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CC BY: This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
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CC BY-NC: This license allows reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.
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CC0 (aka CC Zero) is a public dedication tool, which allows creators to give up their copyright and put their works into the worldwide public domain. CC0 allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, with no conditions.
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Other: [enter text]
Evaluation
Criteria
The submissions will be evaluated by data visualization challenge the National Evaluation Center. Submissions will be evaluated on the ability to convey information in a meaningful and aesthetically appealing way. When developing a submission, participants should consider the following:
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Data sources: accurate data and from a reliable source
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Content/Clarity: the message or main point of the visualization is clear
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Audience: appropriately targets audience
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Design/Layout: the visualization uses space and color in an effective way
Judges
We welcome our three judges who review submissions and decide on the top awards:
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Peace Ossom-Williamson, Associate Director of the National Center for Data Services at the Network of the National Library of Medicine (NNLM)
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Shanda Hunt, Public Health Library Liaison and Data Curation Specialist at the University of Minnesota
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Chris Belter, Program Analyst, National Institute of Child Health and Human Development
Questions?
Contact: National Evaluation Center at nec-dataviz@northwestern.edu