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Research-Hub: Infrastructuring Open Science


Gaia Mosconi, M.A.

Raum: US-D 105
Telefon: +49 271 740-2293

Short Description

 The Open Science (OS) agenda has potentially massive cultural, organizational and infrastructural consequences. Ambitions for OS-driven policies have proliferated, within which researchers are expected to publish their scientific data. Significant research has been devoted to studying the issues associated with managing Open Research Data. Digital curation, as it is typically known, seeks to assess data management issues to ensure its long-term value and encourage secondary use. Hitherto, relatively little interest has been shown in examining the immense gap that exists between the OS grand vision and researchers’ actual data practices (see Mosconi et al. 2019).
The scope of this project is to develop design solutions which will help researchers in managing their research data and research workflows. Special attention will be given to ideas which will help researchers in developing documentation practices which might facilitate data sharing and data reuse (as data we consider both empirical and design data). The design idea will be implemented in Research-Hub a new tool for research collaboration and sharing. If you want to check out the status of the platform, login here with your ZIMT account: https://research-hub.social/.
Research-Hub is a customized platform developed based on Humhub, an open-source software for team communication and collaboration (info: https://humhub.org/en). Research-Hub has been officially launched in December 2019 and its development has to be considered as an example of infrastrcuturing that some of you have already studied in class. Enrolling in this project will give you an opportunity to learn more about infrastrcuturing applied as a method.


  • Project A/B/C Master HCI PO2019
  • Thesis Master HCI PO2014
  • Projectwork Master HCI PO2014
  • Projectwork Master IS PO2019
  • Thesis Master IS PO2014
  • Projectwork Master IS PO2019
  • Thesis Master IS PO2019


  • 1. Up to two initial presentations/lectures to provide theoretical background and insights in the research project and problem areas to choose from
  • 2. Clarify student idea and the concrete outcome based on student expertise (mock-up and/or programming implementation)
  • 3. Iterative design
  • 4. Continuous feedback from the supervisor
  • 5. Submission of project report


This project can be adjusted to fit option A, B, or C depending on the level of difficulty and specific interest of the student(s).


Helena Karasti, Volkmar Pipek, Geoffrey C Bowker (2018) An Afterword to ‘Infrastructuring and Collaborative Design’, Computer Supported Cooperative Work (CSCW) 27(2), S. 267-289, doi: 10.1007/s10606-017-9305-x  

Steven J. Jackson, Paul N. Edwards, Geoffrey C. Bowker, Knobel Cory P. (2007) Understanding infrastructure: History, heuristics and cyberinfrastructure policy. First Monday 12(6). https://www.firstmonday.org/ojs/index.php/fm/article/view/1904/1786.

Gaia Mosconi, Qinyu Li, Dave Randall, Helena Karasti, Peter Tolmie, Jana Barutzky, Matthias Korn, Volkmar Pipek (2019) Three Gaps in Opening Science , Computer Supported Cooperative Work (CSCW) 28 (3) , pp. 749-789, doi: 10.1007/s10606-019-09354-z