Publish fast and openly across the Physical Sciences with F1000Research
The physical sciences are essential in allowing us to describe and understand the processes and phenomena that define our natural world, ranging from fundamental basic concepts through to the most important applications and technologies which are shaping our future and providing benefit to society.
At F1000Research, we feel strongly about representing a broad range of topics within Physical Sciences, publishing and disseminating research in a discoverable, useable, and reproducible way. In acknowledgement of the importance of this research, we’ve created a list of our leading Physical Sciences articles.
F1000Research is the ideal publishing platform for all your Physical Sciences research outputs – from traditional Research Articles to more unique formats, such as Software Tool Articles, Data Notes, and Method Articles. We offer rapid, open publication as standard, meaning your article could be published in as few as 14 days, so your work can start to make impact sooner. All articles undergo post-publication peer review, with expert reviews freely available. F1000Research operates a unique post-publication open peer review process, enabling authors to engage with their reviewers transparently, whilst also making the research available to a global audience as quickly as possible.
Combining this unique publication model with our progressive Open Data Policy makes F1000Research the perfect home for Physical Sciences research with the potential to make real-world impact.
Explore the article collection below
Featured Articles
Author Guidelines
REVIEW
OPINION ARTICLE
RESEARCH ARTICLE
METHOD ARTICLE
RESEARCH ARTICLE
RESEARCH ARTICLE
About F1000Research
F1000Research is a fully open access publishing platform, offering rapid publication of articles and other research outputs without editorial bias. All articles benefit from transparent post-publication peer review, and editorial guidance on making source data openly available.
F1000Research advocates for transparency and reproducibility in research, and our unique publishing model supports this at every stage. Articles can be published in as few as 14 days, with post-publication peer review creating an open dialogue between authors and their research community.
Want to see more videos from F1000Research? Explore our YouTube channel and subscribe to be notified about new content on there.
Why publish your Physical Sciences research on F1000Research?
Fast publication times
Make your research available, citable, and discoverable online in as little as 14 days from submission, where it will be clearly marked as awaiting peer review
Author-driven peer review
Quality and robust peer review processes, led by you, with no editorial bias
Easy compliance
Effortlessly comply with open access and funder mandates regarding publication and data availability
Breadth and flexibility of article types
Share and be credited for publishing a greater proportion of your research output through multiple article types
Article versioning
Authors can publish multiple versions and updates to their article, both during peer review and after, so the research is more dynamic and living than in a traditional journal
Increased dissemination through open access
Distribute your research as widely as possible through open access publication, open peer review, and FAIR data requirements
Indexing in key databases, such as Scopus
F1000Research is part of Taylor & Francis Group, one of the world’s leading academic publishers.
Research outputs come in many forms. So do our article types.
At F1000Research, we really hate research waste. That’s why we welcome traditional Research Articles describing confirmatory or negative results, and why we publish null studies. It’s also why we offer a range of less traditional publishing formats, so that all forms of research output can get the credit they deserve.
Software Tool Articles
These articles describe novel software tools created to support or conduct research in any field, including physical sciences. The articles explain:
- Why the software was developed
- Details of the code, method, and analysis used
- Tips on how to maximize the tool’s potential
Software Tool Articles offer research software engineers a great way to get credit for their work, and increase the visibility of their novel software tools so that other researchers can use them too.
Data Notes
Effective data sharing extends way beyond simply depositing your scientific dataset in a repository. Data Notes make your dataset more discoverable, useable and reproducible by providing a detailed description of the data itself – without any analyses or conclusions. This format gives much-needed credit to data producers who often go unrecognized, and could even support new research collaborations across different fields of study.
Method Article
Method Articles describe new and well tested experimental, observational, theoretical or computational methods or procedures, either quantitative or qualitative. This includes new study methods, substantive modifications to existing methods or innovative applications of existing methods to new models or scientific questions. We welcome technical articles that describe tools that facilitate the design or performance of experiments, provide data analysis features or assist medical treatment.
Open data on F1000Research | Policies and principles
F1000Research advocates an Open Data Policy. Others need access to the original, raw data to be able to replicate a given study, reproduce the original findings, or reuse the data to support their own research. Therefore, all articles on the F1000Research platform should include citations to repositories that host the data underlying the results, together with details of the software tools used to process these. Of course, there may be exceptional cases where openly sharing research data is not feasible – for example, due to ethical, data protection, or confidentiality reasons. You can find out more in our Data Guidelines.
Alongside our Open Data policy, F1000Research endorses the FAIR Data Principles which aim to make research data Findable, Accessible, Interoperable, and Reusable; together these provide a framework to promote the broadest possible reuse of scientific data.
Want more information? Head to our Open Data Hub now for detailed guidance on sharing your data, or explore a range of STEM-specific resources here.
