2025/08/06 by Joannes Dekker, Carli Peters, Rachel Winter +10 · 2 voices · 2 citations
Biochemistry, Genetics and Molecular Biology · Chemistry · Decision Sciences · Engineering · #Advanced Proteomics Techniques and Applications #Archaeology #Computer science #Data science #Data sharing #Engineering #Engineering ethics #Field (mathematics) #Forensic and Genetic Research #Foundation (evidence) #Geography #Open research #Open science #Raw data #Sample (material) #Scientific Computing and Data Management #Selection (genetic algorithm) #Sociology #World Wide Web
paper · pdf · doi:10.24072/pcjournal.576
published in Peer Community Journal 5
openalex publication_date 2025/08/06 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/04
Palaeoproteomics focuses on studying the past by analysing proteins preserved in historical, archaeological, and palaeontological materials. Over the past fifteen years, the number of publications and research questions in this field has grown substantially, as has the number of researchers and research groups utilising palaeoproteomic methods. PAASTA (Palaeoproteomics And Archaeology, Society for Techniques and Advances) is an international early career researcher-driven community, which aims to bring together researchers from all subdisciplines of palaeoproteomics by providing a platform for open communication. Here, we discuss ways in which this fast-growing research field can benefit from adopting principles of open science and increased communication and collaboration between researchers. We approach this question from all stages of a typical research project, from experimental design and sample selection, to data analysis and raw data sharing. Although we acknowledge that each of these guidelines and recommendations may not be applicable to every research project, we aim to provide a foundation which, when applied collectively, will strengthen the future of palaeoproteomics.