What is a data note?
Data notes are a short peer-reviewed article type that concisely describe research data stored in a repository. They increase the discoverability and transparency of your research, helping to comply with funder mandates on data sharing and make data FAIR (findable, accessible, interoperable and reusable).
Data notes do not include any analysis or conclusions but may be linked to a research article incorporating analysis of the published dataset, as well as the results and conclusions. They may also highlight standalone data sets stored in a repository.
What are the benefits of publishing a data note?
Publishing a data note allows you to:
- Maximize the potential of your research data through improving the discoverability, usability, and reproducibility of your research
- Gain appropriate credit for your research data with a citable publication
- Reach new audiences for your research
- Foster new collaborations across disciplines by making your data available
How do I write a data note?
Data notes must describe research data generated and owned by the authors and should include:
- Dataset rationale, protocol, and validation details
- Information about any limitations of the dataset
- Information on where and how to access the dataset, as part of a Data Availability Statement
- Reference to the dataset using a formal citation
- Where applicable, cite and summarize any previous publications that use the data presented
Data note templates
Download a data note template to help with writing and preparing your data note submission:
Where can I publish my data note?
F1000Research enables you to publish your data note rapidly and openly via an author-centric platform. You’ll benefit from:
- Open access publication – for maximum visibility of your data note.
- Fast publication times – your data note will be published online with a DOI following our pre-publication checks in as little as 14 days.
- Open data – All submissions to F1000Research must comply with our open data policy and support FAIR principles.
- Open peer review – Once published, your data note will undergo a robust open peer review process where reviewers are asked specific questions about the description, methodology and availability of the data.
Read the guide to publishing a data note with F1000Research and the data note submission template, which makes it quick and easy to write your data note for submission for F1000Research.
Maximize the potential of your research and submit your data note to F1000Research today.
Taylor & Francis Journals
The Taylor & Francis journal portfolio offers a growing range of options for publishing data notes:
- All Earth publishes data notes across all fields of Earth Science including cross- and multi-disciplinary studies. Read the full Aims & Scope.
- Publishing under an open model, the journal provides an excellent opportunity to obtain a second publication from your research by publishing a data note that is derived from your underlying data.
- The journal also promotes better information sharing by mandating public availability of all data associated with submissions.
- For more information and to submit please see the All Earth Instructions for Authors.
- Data Articles related to the earth sciences, including earth observation, earth systems monitoring, atmospheric science, marine science and geology.
- The journal provides a data note template to assist you with writing your data note.
- The journal has an open & FAIR data sharing policy which requires your data to be held in a repository on a CC0 or equivalent license.
- For more information and to submit please see the Big Earth Data Instructions for Authors.
Peer review of data notes
To maintain quality and provide validation of the data and supporting information, data notes will be peer reviewed in line with the relevant submission policy.