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A dataset for assessing phytolith data for implementation of the FAIR data principles
Céline Kerfant1, Javier Ruiz-Pérez2, Juan José García-Granero3
1Universitat Pompeu Fabra, Department of Humanities, Barcelona, 08005, Spain. celineemmanuelle.kerfant@upf.edu.
Scientific Data
|July 21, 2023
Summary
Phytolith research data is difficult to find and reuse due to a lack of sharing and transparency. Implementing FAIR Data principles can improve accessibility and sustainability for phytolith studies.
Area of Science:
- Phytolith analysis in archaeobotany, palaeoecology, and plant science.
- Interdisciplinary research involving geology, biology, and archaeology.
Background:
- Phytolith research is crucial for understanding plant use and past environments.
- Methodological diversity and data challenges hinder collaboration and meta-analyses in phytolith studies.
- Lack of data sharing and transparency limits the accessibility and reusability of phytolith research data.
Purpose of the Study:
- To assess the current state of phytolith data regarding the FAIR Data principles (Findable, Accessible, Interoperable, Reusable).
- To identify challenges and propose solutions for improving data sharing and sustainability in phytolith research.
- To develop FAIR guidance for more sustainable publishing of phytolith data and research.
Main Methods:
- Conducted a FAIR data assessment of 100 selected phytolith research articles published between 2016 and 2020.
- Analyzed sampled articles based on the four FAIR Data principles.
- Documented methodologies and data accessibility within the selected publications.
Main Results:
- Identified significant challenges in finding, accessing, and reusing phytolith research data.
- Highlighted issues with data transparency and interoperability across studies.
- Revealed a need for standardized practices to enhance data sustainability.
Conclusions:
- Implementing FAIR Data principles is essential for advancing phytolith research.
- Improved data sharing and transparency will foster collaboration and enable robust meta-analyses.
- The findings will inform the development of practical guidance for sustainable phytolith data publication.
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