Open Science Metrics
Measure adoption, identify trends, and track impact
Driving open science adoption ranks high in the organizational goals and strategic plans for many funders, publishers, and institutions—but in order to effectively increase openness, we first need to measure it.
Open Science Metrics is a first-of-its-kind solution that identifies and quantifies open science across thousands of published articles. Using Natural Language Processing (NLP) DataSeer delivers aggregate stats on open access licensing, data and code sharing, repository use, preprint posting, protocol sharing and reuse, personal identifiers, and more. We offer breakdowns over time, and by journal, publisher, funder, country, and institution. And all our reports are backed by raw article-level data.
Open Science Metrics give your team the business intelligence they need to set meaningful targets, introduce interventions, track outcomes, and showcase successes.
Open Science Metrics in practice
How could Open Science Metrics support your organization?
DataSeer delivers a graphics-rich shareable report and raw tabular data files with an array of data points offering detailed insight into most widely-used open practices for each study in your corpus.
Get the results you need on your schedule. Here’s an example of just one possible workflow.
Select your sample
Start by establishing your baseline with a core dataset—for example, 5,000 articles from one publisher.
Compare and contrast
Consider including a comparator dataset to see how your publications stack up against similar articles in the same time period.
Get your data
Receive both an aggregate summary and article-level breakdown of Open Science practices across your entire sample.
Make data-driven decisions
Armed with data, establish meaningful goals, and implement policies and processes to meet them. (DataSeer solutions can help!)
Measure change
Schedule regular updates to track trends, showcase the impact of new workflows, and policies, and hold editors accountable.
see it in
action
PLOS (Public Library of Science) uses DataSeer’s Open Science Metrics to measure open science across their twelve journals. The PLOS dataset currently includes more than six years worth of publication data and counting, along with a comparator dataset 20% of the size.
see it it action
PLOS (Public Library of Science) uses DataSeer’s Open Science Metrics to measure open science across their twelve journals. The PLOS dataset currently includes more than six years worth of publication data and counting, along with a comparator dataset 20% of the size.
