Taking the guesswork out of data sharing
Data sharing advice for your datasets and your articles
Our goal is to move data sharing away from broadly worded policies and guidelines, and instead show researchers what they need to do with the datasets from their particular manuscript.
By focusing on individual articles, DataSeer give researchers a clear picture of:
- Which datasets from that particular article they need to share
- What format they should be in
- Which repository is most suitable
Advice for each type of data is drawn from our wiki, which you’re welcome to edit.
workflow example
Here’s our workflow for an individual article:
What are data collection sentences?
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We’re focused here on the steps the researcher took to get the data onto their computer, rather than any data manipulation steps they took after that.
[10 second video of highlighting a data sentence in a text, animates on mouse hover, still image is last image in sequence – Use Jess’s SNP sentence]
Use Cases for DataSeer
DataSeer for Journal Managers
Journals can use DataSeer to help their authors comply with their data sharing policies. A simple email-based integration is available for most major manuscript management systems, and requires only the addition of a few email templates in the journal system.
DataSeer for Funders & Institutions
DataSeer can also be applied to published articles, allowing stakeholders like institutions and funders to promote data sharing among their researchers and assess compliance with their data policies.
