Contact information
Research data management team (Uni Potsdam)
Project IN-FDM-BB
University of Potsdam
University library, Campus Golm
Karl-Liebknecht-Str. 24/25
14476 Potsdam, Germany
Email: mertzen@uni-potsdam.de
Daniela Mertzen
Research Data Management
I am part of the research data management (RDM) team at the University of Potsdam (RMD UP) and the Brandenburg-wide RDM-project IN-FDM-BB ("Institiutionalised and sustainable research data management in Brandenburg", RMD Brandenburg). Our team supports researchers who want to systematically manage their research data, making their work more transparent, reproducible and reusable. In our project IN-FDM-BB, we develop and implement a sustainable RDM-infrastructure at all eight research-focused publicly-funded universities (of Applied Sciences) across the state of Brandenburg by providing RDM-tools and services.
Psycholinguistics
I am a psycholinguist particularly interested in the underlying mechanisms of human sentence processing. My research focuses on the crosslinguistic investigation of similarity-based retrieval interference during real-time sentence comprehension. To study this, I conduct experiments, predominantly using the eyetracking-while-reading method. In 2022, I completed my PhD in Linguistics at the University of Potsdam (advisors: Prof. Dr. Shravan Vasishth, Prof. Dr. Ralf Engbert). For publications and teaching experience, see below.
Academic background
- Ph.D. Linguistics, University of Potsdam, Germany
- M.Sc. International Master's Programme in Experimental and Clinical Linguistics, University of Potsdam, Germany
- B.A. Linguistics with English, Nottingham Trent University, United Kingdom
Research Data Management
Publications
- Kerstin Helbig, Denise Jäckel, Daniela Mertzen, Lea-Sophie Orozco Prado, Carsten Schneemann & Sibylle Söring (2024).
As You Like It? Bedarfserhebungen als Instrumente der FDM-Strategieentwicklung in universitären, regionalen und nationalen Verbundkontexten.
Bausteine Forschungsdatenmanagement, 2024 (1), S. 1–9. DOI - Daniela Mertzen, Heike Neuroth, Carsten Schneemann & Kathrin Woywod (2023).
Zertifikatskurs „Forschungsdatenmanagement für Studierende“ der Landesinitiative für Forschungsdatenmanagement in Brandenburg.
In: Klein, M., Krupka, D., Winter, C. & Wohlgemuth, V. (Hrsg.): INFORMATIK 2023. Gesellschaft für Informatik, Bonn 2023, S. 95-105. DOI - Heike Neuroth, Janine Straka, Carsten Schneemann & Daniela Mertzen (2022).
Kooperativer Aufbau und nachhaltiger Betrieb der Landesinitiative für Forschungsdatenmanagement in Brandenburg (FDM-BB).
In: Demmler, D., Krupka, D. & Federrath, H. (Hrsg.): INFORMATIK 2022. Gesellschaft für Informatik, Bonn 2022, S. 1329-1340. DOI
Conference contributions
- Daniela Mertzen, Michael Panitz, Claus Spiecker, Ian Wolff & Carina Schiller (2024).
Aktuelle FDM-Bedarfe Forschender an brandenburgischen Hochschulen.
RDA-DE Tagung 2024. 2024, Potsdam, Germany. poster - Boris Jacob, Nadin Weiss, Verena Heise, Katharina Kloss & Daniela Mertzen (2024).
Open Science Policy and Practices at the University of Potsdam.
RDA-DE Tagung 2024. 2024, Potsdam, Germany. poster - Carsten Schneemann, Daniela Mertzen & Heike Neuroth (2023).
"Forschungsdatenmanagement für Studierende" Zertifikatskurs der Landesinitiative für Forschungsdatenmanagement in Brandenburg.
In Proceedings of 17th International Symposium for Information Science (ISI 2023), pp. 422-428. 2023, Chur, Schweiz. abstract - Daniela Mertzen, Carsten Schneemann, Kathrin Woywod & Heike Neuroth (2023).
Insights from Brandenburg’s first RDM-Spring School for students.
Fellowship of the data – RDM Trainer Network Meeting 2023, Humboldt University Berlin. slides - Daniela Mertzen, Boris Jacob, Ulrike Lucke & Christian Riedel (2023).
FDM-Capacity Building im Tandem – Kooperation von Zentraleinrichtung und Sonderforschungsbereich an der Universität Potsdam.
E-Science-Tage 2023, University of Heidelberg. slides - Heike Neuroth, Daniela Mertzen, Carsten Schneemann, Christine Burkart, Janine Straka, Boris Jacob, Claus Spiecker, Anita Szczukowski & Andreas Kennecke (2023).
Institutionalisiertes und nachhaltiges Forschungsdatenmanagement in Brandenburg (IN-FDM-BB).
E-Science-Tage 2023, University of Heidelberg. poster - Daniela Mertzen & Carsten Schneemann (2023).
Bedarfserhebungen als Instrumente der FDM-Strategieentwicklung im regionalen Verbundkontext.
RDA-DE Tagung 2023. slides - Daniela Mertzen & Carsten Schneemann (2022).
Institutionalisiertes und nachhaltiges Forschungsdatenmanagement in Brandenburg (IN-FDM-BB).
ZDT-Jahrestagung 2022. slides
Project reports
- Daniela Mertzen (2024).
IN-FDM-BB Report R 1.2.1 Aktuelle Kenntnisse und Bedarfe im Bereich Forschungsdatenmanagement an acht brandenburgischen Hochschulen.
Zenodo. paper - Daniela Mertzen (2024).
Daten der FDM-Bedarfserhebung an acht Hochschulen in Brandenburg (IN-FDM-BB Report R 1.2.1).
Zenodo. data publication - Daniela Mertzen, Boris Jacob, Claus Spiecker, Anita Szczukowski & Janine Straka (2023).
IN-FDM-BB Report R 1.2.2 Gemeinsame konzeptionelle Entwicklung von FDM-Beratung an den brandenburgischen Hochschulen.
Zenodo. paper
Courses and Workshops
- (How to) Make research data FAIRer. Workshop for researchers by the RDM team (U Potsdam) in cooperation with the Potsdam Graduate School. link
- Zertifikatskurs „Forschungsdatenmanagement für Studierende“. Spring School 2024 der Landesinitiative für Forschungsdatenmanagement in Brandenburg, Zenodo. OER materials
- (How to) Make research data FAIRer. Workshop for researchers by the RDM team (U Potsdam) in cooperation with the Potsdam Graduate School. link
- Zertifikatskurs „Forschungsdatenmanagement für Studierende“. Spring School 2023 der Landesinitiative für Forschungsdatenmanagement in Brandenburg, Zenodo. OER materials
OER course materials
- Daniela Mertzen, Heike Neuroth, Carsten Schneemann, Claudia Haase, Boris Jacob, Jens Mittelbach, Janine Straka, Katrin Weise & Miriam Zeunert (2024).
Zertifikatskurs „Forschungsdatenmanagement für Studierende“. Spring School 2023 der Landesinitiative für Forschungsdatenmanagement in Brandenburg.
Zenodo. OER materials - Daniela Mertzen, Heike Neuroth, Carsten Schneemann, Kathrin Woywod, Claudia Haase, Boris Jacob, Max Kroehling, Jens Mittelbach, Janine Straka, Anita Szczukowski & Katrin Weise (2023).
Zertifikatskurs „Forschungsdatenmanagement für Studierende“. Spring School 2023 der Landesinitiative für Forschungsdatenmanagement in Brandenburg.
Zenodo. OER materials
Psycholinguistics
Publications
- Daniela Mertzen, Anna Laurinavichyute, Brian Dillon, Ralf Engbert, and Shravan Vasishth (2024).
Crosslinguistic evidence against interference from extra-sentential distractors. Journal of Memory and Language, 137. paper | data and code - Maximilian M. Rabe, Dario Paape, Daniela Mertzen, Ralf Engbert, and Shravan Vasishth (2024).
SEAM: An integrated activation-coupled model of sentence processing and eye movements in reading. Journal of Memory and Language, 135. paper| data and code - Daniela Mertzen, Dario Paape, Brian W. Dillon, Ralf Engbert, and Shravan Vasishth (2023).
Syntactic and semantic interference in sentence comprehension: Support from English and German eye-tracking data. Glossa Psycholinguistics, 2(1). paper | data and code - Daniela Mertzen, Sol Lago, and Shravan Vasishth (2021).
The benefits of preregistration for hypothesis-driven bilingualism research.
Bilingualism: Language and Cognition, 2021. paper - Lena A. Jäger, Daniela Mertzen, Julie A. Van Dyke, and Shravan Vasishth.
Contrasting facilitation profiles for agreement and reflexives revisited: a large-scale empirical evaluation of the cue-based retrieval model.
Journal of Memory and Language, 2019. paper| data and code - Shravan Vasishth, Daniela Mertzen, Lena A. Jäger, and Andrew Gelman.
The statistical significance filter leads to overoptimistic expectations of replicability.
Journal of Memory and Language, 2018. paper | data and code
Doctoral dissertation
- Daniela Mertzen, 2022. A cross-linguistic investigation of similarity-based interference in sentence comprehension. University of Potsdam. DOI.
Conference contributions
- Daniela Mertzen, Brian Dillon, Dario Paape, Ralf Engbert and Shravan Vasishth.
An investigation of the time-course of syntactic and semantic interference in online sentence comprehension. In Proceedings of the 34th Annual CUNY Conference on Human Sentence Processing, Short talk, University of Pennsylvania, 3 2021. slides | abstract - Daniela Mertzen, Brian Dillon, Anna Laurinavichyute and Shravan Vasishth.
A cross-linguistic investigation of similarity-based interference. In Proceedings of the 33rd Annual CUNY Conference on Human Sentence Processing, Amherst MA, USA, 3 2020. University of Massachusetts, Amherst. slides | abstract - Daniela Mertzen, Brian Dillon, Anna Laurinavichyute and Shravan Vasishth.
A cross-linguistic investigation of similarity-based interference and depth of processing in English and German. In Proceedings of the 25th Architectures and Mechanisms for Language Processing Conference, Moscow, Russia, 2019. National Research University Higher School of Economics. poster | abstract - Lena A. Jäger, Daniela Mertzen, Julie A. Van Dyke, and Shravan Vasishth.
Contrasting facilitation profiles for agreement and reflexives revisited: A large-scale empirical evaluation of the cue-based retrieval model. In Proceedings of the AMLaP Conference, Berlin, Germany, 2018. slides | abstract - Shravan Vasishth, Daniela Mertzen, Lena A. Jäger, and Andrew Gelman.
The statistical significance filter leads to overconfident expectations of replicability.
In Proceedings of the AMLaP Conference, Berlin, Germany, 2018. poster - Shravan Vasishth, Daniela Mertzen, Lena A. Jäger, and Andrew Gelman.
Type M error in practice: A case study. In Proceedings of the ISBA World Meeting, Edinburgh, UK, 2018. - Shravan Vasishth, Daniela Mertzen, Lena A. Jäger, and Andrew Gelman.
Type M error in practice: A case study. In Proceedings of StanCon 2018, Helsinki, Finland, 2018. poster - Kate Stone, Daniela Mertzen, & Shravan Vasishth (2017).
Verb particle predictability determines the facilitation effect of pre-particle material.
In Proceedings of the AMLaP Conference, Lancaster, UK, 2017. - Daniela Mertzen, Lena A. Jäger, and Shravan Vasishth.
The importance of replication in psycholinguistics.
In Proceedings of the 30th Annual CUNY Conference on Sentence Processing, Massachusetts Institute of Technology, Boston, MA, USA, 2017. poster | abstract - Daniela Mertzen, Lena A. Jäger, and Shravan Vasishth.
German relative clauses: The missing-VP effect in double and triple embeddings.
In Proceedings of the 29th Annual CUNY Conference on Sentence Processing, University of Florida, Gainesville, FL, USA, 2016. slides | abstract
Teaching
- Winter semester 2021/22: Case Studies in psycholinguistic eye-tracking research (graduate level, taught in English); Menschliches Satzverstehen-2 (undergraduate level, taught in German)
- Summer semester 2021: Einführung in die Statistik (undergraduate level, taught in German); Menschliches Satzverstehen (undergraduate level, taught in German)
- Summer semester 2018: Einfuehrung in die Sprachverarbeitung (undergraduate level, taught in German)
- May 2018: Eye-tracking workshop at Higher School of Economics, Moscow, Russia.
- Winter semester 2017/18: Eye-tracking in Psycholinguistic Research (graduate level, taught in English)
- Summer semester 2017: Einfuehrung in die Sprachverarbeitung (undergraduate level, taught in German)