Researchers increasingly rely on
computational tools to find, access & use data. Are your data ready?
At a glance, see how your data score in categories of Findability, Accessibility, Interoperability, and Reusability (“FAIR”). With assessments based on the community established FAIR data principles, you can guide your community toward maximizing the value of their digital assets.
A FAIR scores chart is included in each DataONE Plus portal with scores that summarize the dataset collection. Additionally, access assessments for each and each dataset in your portal.
In addition to FAIR scores for portals, each Hosted Repository includes a FAIR scores chart for the entire repository holdings, plus individual assessments for each and every dataset
A FAIR scores chart is included in each DataONE Plus portal with scores that summarize the dataset collection. Additionally, access assessments for each and each dataset in your portal.
Get aggretated FAIR scores for all data within your Hosted Repository or DataONE Plus portal
Changes by month -
Aggregated FAIR score charts show how your FAIR scores have changed month-to-month
Broken down into FAIR categories -
Aggregated scores are divided into the four FAIR categories, so you can pinpoint areas that need improvement and see what your metadata strengths are.
Preview aggregated FAIR reports with a DataONE Plus portal
Create a portal for free during the preview period. No credit card required.
Guide your community toward creating better metadata
Provide detailed FAIR reports for each dataset and give researchers the power to discover exactly which metadata fields are missing or incomplete.
Get instant assessments -
Whenever a dataset is
updated in your Hosted Repository, the metadata is automatically assessed.
Check metadata automatically -
Each assessment is made of a number of individual checks that
assess specific fields in the metadata, such as geographic coverage, start and
end dates, data attributes, or publication date (among many more).
What is FAIR?
FAIR is a community-led set of principles for data and metadata, whose ultimate goal is to enhance the reusability of data.
Metadata and data should be easy to find for both humans and computers.
Accessible
Once someone finds the required data, they need to know how the data can be accessed.
Interoperable
The data needs to be easily integrated with other data for analysis, storage, and processing.
Reusable
Data should be well-described so they can be reused and replicated in different settings.
Wilkinson et al. (2016) The FAIR Guiding Principles for scientific data management and stewardship. Scientific Data, 3:160018. https://doi.org/10.1038/sdata.2016.18
Let us help. Use the DataONE Consulting services to create a custom metadata assessment report built specifically for your data management requirements.
Enhanced DataONE services are currently available on a limited basis as part of a beta program. Please provide the information below and we’ll get in touch when these services are ready for your organization.
