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Data Notes - a new way to publish your data

Valuable data often go unpublished when it could be helping to progress science. Hence, we launched data notes - a short article type allowing you to describe your data and publish it to make your data easier to find, cite and share. ​​​​​​​

Quick and easy to write

Your data note should not exceed 1,000 words and requires no analysis or interpretation. It should have three main sections: objective, data description and limitations. We even provide the template!

Data note template

Quick to publish

Your data note will be peer-reviewed by an editorial board member. Our prompt service means we have an average submission to publication time of just 40 days for data notes. 

Ready to submit

Read the full submission guidelines.

Introductory Offer

Introductory Offer

Authors submitting a data note benefit from an article-processing charge of €600/£470/$735. This introductory price is reduced from the normal BMC Research Notes APC of €1050/£825/$1290.

What kind of data can you publish?

Any scientific data can be suitable for a data note - no dataset is too big, or too small. Our first publications covered diverse datasets ranging from the spontaneous rhythms in seal pup calls to the first comprehensive de novo assembly of tree tobacco to the isolation and culture conditions required for optimal CEC cultivation.

Get Published in 2017

Start getting credit for your data

Are you holding on to data that you’ve not yet published? Start getting credit for it by publishing it as a data note which will enable your colleagues to find it, cite it, and share it.

Find data

BMC Research Notes is indexed in MEDLINE, PubMed, PubMed Central, SCImago, Scopus and many other indexing services. Articles are also available through the BioMed Central and SpringerLink sites for maximal discoverability of your work.

Cite data

Our data notes are fully citable. Data note authors benefit from Springer Nature’s Research Data Support free of charge. Our Research Data Editors enhance the metadata of your dataset(s) to encourage reuse and apply digital object identifiers (DOIs) to enable data citation.

Share data

Data notes are published open access. This means that anyone can find, access, share and use your data without any barriers. No research data is too small to be of value. Don’t leave your data hidden - share it with your peers and help progress science!

Why we launched data notes

New Content ItemEditor Dirk Krüger tells us: 

"Data is becoming increasingly more important. Researchers tell us they are motivated to share data to progress research, to receive more credit and visibility for their work and to comply with funder policies."  

Read the blog to see why we're making it our mission to publish data. 

Did You Know That...?

  • You can publish a data note about data which is part of an article you've already published
  • 68% of researchers value a data citation as much as a citation to an article1​​​​​​​​​​​​​​
  • Publishing data can make your data FAIRer
  • Publishing your data makes it a citable publication

Why Publish in BMC Research Notes?

Big DataA data note can be from any scientific discipline - from nanotechnology to global health, from machine learning to physical cosmology. We are the perfect home whether you are looking for a physics journal, an earth science journal, a chemistry journal, or a biology journal for your research data.

BMC Research Notes is a forum for micro publications as we believe simple but sound observations deserve a platform. 

Our notes are quick to write, fast to publish and enable you to get credit for work which was previously hidden. The same innovative spirit drives us to publish data notes helping authors increase data discovery and usability and to comply with funder policies. This journal is part of the BMC series, publishing peer-reviewed scientifically valid observations and data descriptors that many other journals won’t consider.

2016 Journal Metrics

Research Data Support

Authors submitting to this journal can opt to use a new service that will make it easier to share research data.

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