DCN Data Visualization

Current statistics on the Data Curation Network’s curation activities and range of expertise. Click on the images to the left of the descriptions to see a full-size interactive figure.


DCN Submissions Overview

A bar chart comparing the number of datasets submitted by each DCN partner with the number of datasets curated by each DCN partner.

The number of datasets submitted to the DCN by each partner organization compared to the number of DCN datasets curated by each partner organization.

A bar and line chart illustrating datasets submitted to the DCN by month and their cumulative growth from January to October 2019.

Overall growth in datasets submitted to the DCN for curation, over time.

Bar chart illustrating the monthly number of datasets submitted to the DCN in 2019, showing an overall increase from January to October.

The growth in the number of datasets submitted to the DCN for curation, over time.

A bar chart visualizes the proportion of total datasets received by each DCN partner repository in 2019, showing Minnesota with the highest percentage at 28.60%.

Proportion of total datasets received by partner repositories submitted to the DCN in 2019.


Datasets Submitted to the DCN

Bar chart showing counts by subject area: Physical Sciences & Mathematics (13), Life Sciences (22), Engineering (10), Arts and Humanities (2), and Social and Behavioral Sciences (1

The number of datasets submitted to the DCN by subject area.

Bar chart showing the number of datasets submitted to the DCN by discipline.

The number of datasets submitted to the DCN by discipline.

A bar chart illustrates the distribution of datasets submitted to the DCN by data type, showing 'code' as the most frequent with 24 submissions.

The number of datasets submitted to the DCN by primary data type.

A bar chart illustrating the number of submitted datasets categorized by code type, showing MATLAB as the most frequent with 11 entries.

Most common languages of code datasets submitted to the DCN.


DCN Expertise

Horizontal bar chart illustrating DCN disciplinary expertise across various academic fields, with Social Sciences (general) having the highest count of 11.

DCN disciplinary expertise indicated by the number of DCN curators identifying as experts in a given discipline.

A horizontal bar chart illustrates DCN data type expertise across various categories, showing textual data with the highest level and FITS files with the lowest.

DCN data type expertise indicated by the number of DCN curators identifying as experts for a given data type.

Bar chart illustrating DCN's code language expertise, showing R (11), Python (9), and MATLAB (9) as the most common languages.

DCN code language expertise indicated by the number of DCN curators identifying as experts for a given code language.