Publish fast and openly with F1000Research
Ecology research provides knowledge of the relationship between humans and nature, making it vital for our understanding of food production, resource management and environmental change. Ensuring research and data in this area are open access, rapidly available, and reproducible is crucial in developing new scientific approaches.
F1000Research is the ideal publishing platform for all your ecology outputs - from traditional Research Articles, to Software Tool Articles, Data Notes, and Method Articles, which help to tell the full story of your research. We welcome articles covering all areas of ecology, including:
- Aquatic ecology
- Biodiversity
- Community ecology
- Conservation biology
- Ecological systems
- Economic ecology
- Human ecology
- Landscape ecology
- Marine ecology
- Micro ecosystems
- Natural ecosystems
- Urban ecology
The wide range of outputs we publish, combined with our progressive Open Data Policy, makes F1000Research the perfect home for your cutting-edge ecology research.
Featured Articles
Author Guidelines
SOFTWARE TOOL ARTICLE
RESEARCH ARTICLE
RESEARCH ARTICLE
RESEARCH ARTICLE
SOFTWARE TOOL ARTICLE
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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. This generates feedback which can be used to improve the article and develop the author's skills.
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.
Research Software Publishing: Challenges & Opportunities
In this presentation Vicky Hellon, Associate Publisher at F1000Research, explores how Software Tool Articles can support research software engineers, including:
- What challenges face software developers working in research?
- What does the future of software publishing look like?
- What are Software Tool Articles on F1000Research?