Humboldt-Universität zu Berlin - RMZ

Humboldt-Universität zu Berlin | RMZ | Members | Jacqueline Sachse, M. A.

Jacqueline Sachse, M. A.

Researcher

Current project

MultiSocVal

  Jacqueline_Sachse.jpg
Email  
Phone number
030-2093 65883  
Mailing address
Unter den Linden 6
10099 Berlin
 
Office address

Schönhauser Allee 10-11

10119 Berlin Room 4.42

 
      Abb.: Sarah Wiltschek

 

Vita


Jacqueline Sachse has been conducting research at the RMZ in various projects since 2018. In her PhD in Information Science since 2019, she studies the role of bibliometric indicators for relevance assessment and the quality concepts associated with these indicators. Since 2024, she acts as the decentral Women's Representative at the Berlin School of Library and Information Science. From 2022 to 2024, she managed the publication fund for Open Access books at the HU university library. In 2018, she was employed as a user experience designer for the digital agency Aperto. During her studies in Library and Information Science at Humboldt-Universität zu Berlin from 2011 to 2017, she worked as a student assistant at the Berlin School of Library and Information Science.

 

Research Interests


  • information behavior & information seeking
  • publishing and receptive behavior
  • open access & open research
  • reflexive bibliometrics

 

Research Projects


2024-2028
2022-2024
2022-2023
2018-2022

 

Publications


2025
  • Sachse, J. (2025) "Citations as Filters in Academic Literature Search" in Proceedings des 18. Internationalen Symposiums für Informationswissenschaft (ISI 2025), 18.-20. März 2025, Chemnitz, 358–369. https://doi.org/10.5281/ZENODO.14925615
2022
2021
  • Sachse, J. (2021) “Bibliometric Indicators and Relevance Criteria – An Online Experiment” in Proceedings of the 11th International Workshop on Bibliometric-enhanced Information Retrieval (BIR 2021), 69-77.
2019
2017

 

Lectures


2024
  • Gauch, Waltman, ... & Neylon (2024, September): Reflexive Bibliometrics on Open Research Information through Participatory Foresight. Special Session. 28th International Conference on Science, Technology and Innovation Indicators (STI 2024), Berlin.
  • Leckert & Sachse (2024, Juli): Altmetrics and the liquification of research quality: how big data potentiality aligns research (evaluation) with platform capitalism. Conference of the European Association for the Study of Science and Technology (EASST) and the Society for Social Studies of Science (4S) (EASST-4S), Amsterdam, Niederlande.
2023
  • Heßelmann & Sachse (2023, Juni): How publishing markets shape researchers' publishing strategies: A comparative analysis of History and Psychology. STS Italia Conference 2023, Bologna, Italien.
  • Sachse, Eichel, Schiekiera, Müller, Niemeyer & Heßelmann (2023, März): Publication bias in academic publishing: Researchers' accounts of publication decisions. STS-hub 2023, Aachen.
2017
  • Bayer (2017, Dezember): Es kommt auf die Größe an – Eine Eyetracking-Studie zur Websuche auf Smartphones. Berliner Bibliothekswissenschaftliches Kolloquium, Berlin.
  • Bayer (2017, November): Snippet-Länge und Suchverhalten im mobilen Web – Eine Eyetracking-Studie. 8. Studenten-Workshop für informationswissenschaftliche Forschung (SWIF), Düsseldorf.
2015
  • Bayer (2015, November): Wie Nutzer mit Suchvorschlägen umgehen. 6. Studenten-Workshop für informationswissenschaftliche Forschung (SWIF), Hamburg.

 

University Courses


Berlin School of Library and Information Science: Master Information Science
WS22/23: Seminar Digitale Informationsversorgung (MWP5 Digitale Informationsversorgung)
SS23: SE Kurative Strategien – Relevanz als grundlegendes Konzept (MWP8 Digital Curation)

Awards


Best Paper Award: Sachse, J. & Leckert, M. (2022) “Quality, impact, productivity: Researchers' conceptions of bibliometric indicators and altmetrics” in Metrics 2022: ASIS&T Virtual Workshop on Informetrics and Scientometrics Research. Zenodo.

Audience Award Best Talk: Bayer (2015, November): Wie Nutzer mit Suchvorschlägen umgehen. 6. Studenten-Workshop für informationswissenschaftliche Forschung (SWIF), Hamburg.