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Optimized Bone Sampling Protocols for the Retrieval of Ancient DNA from Archaeological Remains
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When data sharing gets close to 100%: what human paleogenetics can teach the open science movement
Paolo Anagnostou1, Marco Capocasa2, Nicola Milia3
1Dipartimento di Biologia Ambientale, "Sapienza" Università di Roma, Rome, Italy; Istituto Italiano di Antropologia, Rome, Italy.
Plos One
|March 24, 2015
Summary
Ancient DNA researchers share data at high rates, exceeding other genetics fields. This openness, driven by awareness and evolving methods, highlights the importance of Open Science for reliable research practices.
Area of Science:
- Paleogenetics
- Genetics
- Bioinformatics
Background:
- Ancient human DNA research relies on sharing genetic data.
- Data sharing practices in genetics vary across subfields.
Purpose of the Study:
- To analyze data sharing trends in ancient human DNA research.
- To compare ancient DNA sharing rates with other genetic fields.
- To investigate factors influencing data sharing practices.
Main Methods:
- Analysis of 162 ancient human DNA papers published 1988-2013.
- Examination of data sharing of mitochondrial, Y chromosomal, and autosomal polymorphisms.
- Survey of researchers and review of journal policies.
Main Results:
- Ancient DNA data sharing rate was 97.6%, significantly higher than other genetics fields.
- High sharing is attributed to researcher awareness and evolving sequencing technologies.
- Data accessibility and findability practices require improvement.
Conclusions:
- Researcher awareness of Open Science principles drives high data sharing in paleogenetics.
- Evolving sequencing technologies correlate with increased use of primary databases.
- Improving data findability, accessibility, and preservation is crucial for robust scientific practices.
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