Forschungsartikel (Zeitschriften)
- . . ‘BarKeeper – A versatile web framework to assemble, analyze, and manage DNA barcoding data and metadata.’ Methods in Ecology and Evolution Early View. doi: 10.1111/2041-210X.14047.
- . . ‘WARPP - web application for the research of parasitic plants.’ Plant Physiology 185: 1374–1380. doi: 10.1093/plphys/kiaa105.
- . . ‘JPhyloIO: A Java library for event-based reading and writing of different phylogenetic file formats through a common interface.’ BMC Bioinformatics 20, Nr. 1: 402. doi: 10.1186/s12859-019-2982-3.
Sarah Wiechers, MSc
Forschungsschwerpunkte
- Wissenschaftliche Software- und Webentwicklung
- Softwareentwicklung Forschungsdatenmanagement
- DNA Barcoding
Weitere Zugehörigkeit an der Universität Münster
Vita
Akademische Ausbildung
- Promotionsstudium Biologie
- MSc Biowissenschaften
- BSc Biowissenschaften
- Abitur
Beruflicher Werdegang
- Softwareentwicklerin Forschungsdatenmanagement, Service Center for Data Management, ULB Münster
- Wissenschaftliche Mitarbeiterin der AG Müller, Institut für Evolution und Biodiversität, Münster
- Studentische Hilfskraft am Institut für Evolution und Biodiversität, Münster
- Studentische Hilfskraft am NEES-Institut für Biodiversität der Pflanzen, Bonn
- Studentische Hilfskraft am Institut für Neuro- und Verhaltensbiologie, Münster
Preise
- Karl-von-Frisch Abiturientenpreis – Verband Biologie, Biowissenschaften und Biomedizin Deutschland (VBIO)
Current work:
I currently work on my dissertation on the "Development of software components for and analysis of DNA barcoding data of the German flora." This project combines my interest in computational biology with conservation efforts, as DNA barcoding is a powerful tool for identifying and cataloging plant species. My work not only contributes to the development of software solutions for handling complex biological data but also emphasizes the importance of making research data and associated metadata more accessible and manageable.
My primary research interests revolve around DNA barcoding, the "FAIR" (Findable, Accessible, Interoperable, and Reusable) availability of research data, and research data management. I am particularly passionate about ensuring that data and metadata generated in scientific research can be easily shared and reused by others, enhancing the reproducibility and transparency of research findings.
Since 2023, I have also been working as a software developer at the University and State Library (ULB), where I focus on research data management solutions. In this role, I help develop systems that support researchers in organizing, storing, and sharing their data in compliance with FAIR principles, ensuring that scientific knowledge remains open and accessible.
Education:
I pursued both my Bachelor and Master of Science degrees in Life Sciences at the University of Münster, where I developed a strong interest in the intersection of biology and data science. My Master's thesis, conducted within the Müller group, focused on simplifying the use of metadata-rich formats in phylogenetics, an experience that sparked my enthusiasm for research in data management and the "FAIR" principles in scientific research.