SFB 1187 ›Medien der Kooperation‹ an der Universität Siegen

INF - Infrastructures for Collaborative Sensory RDM Practices




Former Researchers:

Dr. Helena Karasti
(Associate Member)

Annette Strauch, M.A.
(Associate Member)

Dr. Matthias Korn
(Associate Member)

Dr. Michael Dahnke
(Associate Member)


The project is concerned with the design, implementation and evaluation of workflows and tools for collaborative research data management, with a focus on sensing and sense-making.



Executive Summary

The results of the sub-project INF from the second funding phase focused on infrastructural research data management (RDM) solutions for praxeological research practice, which are the focus of SFB 1187. This includes providing discipline-independent basic infrastructures, processes and services for long-term archiving and teaching data protection skills. Based on this, in cooperation with the researchers, (a) a solution tailored to praxeological research methods for documenting research data practices ("research hub"), (b) research data infrastructure by using interfaces to various verification and work environments (e.g. ORCID, RDMO, Sciebo, DSpace) and (c) comprehensive interface for processing the metadata and Data Story concept were developed.

In the upcoming third phase, the INF project will continue to focus on providing necessary basic infrastructures on the one hand and developing specialized research data infrastructures on the other hand, taking into account sensor data and sensory practices. Focus is on the following areas:

  1. Further developing and testing the implemented collaborative RDM workflows, modules and concepts with a focus on sensory and meaningful data practices.
  2. (Further) developing technological tools for acquiring (sensing) and evaluating (sense-making) sensor data in the research process, including digital and sensory methods
  3. Capturing the critical reflexivity of current research data practices and examining the collaborative appropriation of the IT tools provided for this.
  4. Assisting in exploring machine learning methods for sensory data practices.

Basic data infrastructures are further developed and maintained by the applicants in close coordination with the IT infrastructures that already exist at the ZIMT. During development, special attention is paid to the legal and ethical guidelines, fundamentals of information security, data protection and FAIR data principles, because these areas play a particularly important role with regard to sensory data practices. In addition, together with the sub-projects, it should be explored what role the use of machine learning methods can play in collecting and especially analyzing the research data collected. At the same time, the metadata interface is continuously updated and expanded in order to offer the created metadata description as comprehensive a set of all data formats used as possible. Furthermore, interfaces are developed and evaluated that integrate external software systems via secure interfaces. This is achieved through a participatory, practice-based approach together with the communities of practice established in the CRC 1187. The INF project documents and reflects the research-based appropriation practices as well as cooperatively constituting research infrastructures and their methods.


INF focuses on the further development of research data infrastructures with a focus on sensory media:

  • Development and evaluation of collaborative Research Data Management (RDM) workflows
  • Implementation of new modules for cross-platform data work
  • Discussion and critical reflection of AI-based methods and tools
  • Provision and integration of data stories for curating and sharing (media) ethnographic data
Model of the RDM workflows developed from the “Data Curation Continua” (Treloar et al. 2008, 6)
Model of the RDM workflows developed from the “Data Curation Continua”
(Treloar et al. 2008, 6)

Research Tech Lab
Research Tech Lab

INF project functions as translator and mediator for institutional requirements, legal/technical standards, and researcher needs as well as practices.

It uses participatory and user­-centered design methods.

Interdisciplinary discussions on sensor data collaboration and machine learning effects on RDM practices

  • Empirical practice analysis alongside design and conceptualization of research data infrastructures
  • Attention on sensor systems and requirements analysis

WP1 aims to test and further develop collaborative sensory RDM workflows, providing technological and organizational support and removing barriers that may prevent meeting the FAIRness criteria.

WP2 involves extending and adapting modules to include other file-sharing systems and metadata interface processing.

WP3 focuses on supporting the reflexivity of AI-based data practices through demonstration and tech lab.

The aim is to ensure that the process does not depend on custom scripts that are not supported in the long term
compared to APIs.

Data Story Detail Page on Research-hub
Data Story Detail Page on Research-hub


➔ Find the Project Archive 2020–2023 here




Socio-Informatics: A Practice-based Perspective on the Design and Use of IT Artifacts

The last 25 years have seen a small revolution in our approach to the understanding of new technology and information systems. It has become a founding assumption of computer-supported cooperative work and human–computer interaction that in the future, if not already, most computer applications will be socially embedded in the sense that they will become infrastructures (in some sense) for the development of the social practices which they are designed to support. Assuming that IT artifacts have to be understood in this sociotechnical way, traditional criteria for good design in computer science, such as performance, reliability, stability or usability, arguably need to be supplemented by methods and perspectives which illuminate the way in which technology and social practice are mutually elaborating. This book concerns the philosophy, conceptual apparatus, and methodological concerns which will inform the development of a systematic and long-term human-centered approach to the IT-product life cycle, addressing issues concerned with appropriation and infrastructuring. This entails an orientation to “practice-based computing.” The book contains a number of chapters which examine both the conceptual foundations of such an approach, and a number of empirical case studies that exemplify it.

Wulf, Volker, Volkmar Pipek, David Randall, Markus Rhode, Kjeld Schmidt und Gunnar Stevens, Hrsg. 2018. Socio-Informatics: A Practice-based Perspective on the Design and Use of IT Artifacts. First edition. Oxford, United Kingdom: Oxford University Press. DOI: 10.1093/oso/9780198733249.001.0001.



Mosconi, Gaia, A.F. Pinatti de Carvahlo, H.A. Syed, Dave Randall, H Karasti, and Volkmar Pipek. 2023. “Fostering Research Data Management in Collaborative Research Contexts: Lessons learnt from an ‚Embedded‘ Evaluation of ‚Data Story”. Computer Supported Cooperative Work (CSCW), no. May 2023. https://doi.org/10.1007/s10606-023-09467-6.


Mosconi, Gaia, Helena Karasti, Dave Randall, Saja Aljunedi, Tong Yu, Peter Tolmie, and Volkmar Pipek. 2022. “Designing a Data Story: A Storytelling Approach to Curation and Sharing in Support of Ethnographically-Driven Research”. American CSCW2, no. Article 289. https://doi.org/10.1145/3555180.
Mosconi, Gaia, Helena Karasti, Dave Randall, and Volkmar Pipek. 2022. “Designing a Data Story: An Innovative Approach for the Selective Care of Qualitative and Ethnographic Data”. In Interrogating Datafication: Towards a Praxeology of Data, edited by Marcus Burkhardt, Daniela van Geenen, Carolin Gerlitz, Sam Hind, Timo Kaerlein, Danny Lämmerhirt, and Axel Volmar, 207-30. Bielefeld: transcript.


Misganaw Aynalem Tesfaye, and Roller Sabine. 2020. “PlattForm: Parallel Spoken Corpus of Middle West German Dialects with Web-Based Interface”. In Machine Learning, Optimization, and Data Science. LOD 2020. Lecture Notes in Computer Science, vol 12566, edited by Giuseppe Nicosia, Varun Ojha, Emanuele La Malfa, Giorgio Jansen, Vincenzo Sciacca, Panos Pardalos, Giovanni Giuffrida, and Renato Umeton, 494-503. Cham: Springer. https://doi.org/10.1007/978-3-030-64580-9_41.


Mosconi, G., Q. Li, D. Randall, H. Karasti, P. Tolmie, J. Barutzky, M. Korn, and V. Pipek. 2019. “Three Gaps in Opening Science”. Journal of Computer Supported Cooperative Work 28 (3-4): 749-89. https://doi.org/10.1007/s10606-019-09354-z.
Saeed, Saqib, Volkmar Pipek, Markus Rohde, Christian Reuter, Aparecido Fabiano Pinatti de Carvalho, and Volker Wulf. 2019. “Nomadic Knowledge Sharing Practices and Challenges: Findings From a Long-Term Case Study”. IEEE Access 7: 63564–63577. https://doi.org/10.1109/ACCESS.2019.2916903.
Strauch, Annette, and Michael Dahnke. 2019. “Forschungsdatenmanagement Und -Infrastruktur Im SFB 1187 Medien Der Kooperation”. Bausteine Forschungsdatenmanagement September (2): 54-60. https://doi.org/10.17192/bfdm.2019.2.8071.
Strauch, Annette, and Volker Hess. 2019. “Von der Produktion bis zur Langzeitarchivierung qualitativer Forschungsdaten im SFB 1187”. Bibliothek Forschung & Praxis 43 (1): 105-9. https://doi.org/10.1515/bfp-2019-2005.


Curdt, Constanze, Marleen Grasse, Volker Hess, Nils Kasties, Ania López, Benedikt Magrean, Anja Perry, Andres Quast, Dominik Rudolph, Simone Stork, Johanna Vompras, and Nina Winter. 2018. “Zur Rolle Der Hochschulen - Positionspapier Der Landesinitiative Nfdi Und Expertengruppe Fdm Der Digitalen Hochschule Nrw Zum Aufbau Einer Nationalen Forschungsdateninfrastruktur”. Zenodo. https://zenodo.org/record/1217527.
Hess, Volker, Thomas von Rekowski, Sabine Roller, and Nicole Walger. 2018. “ Aufgaben und Potentiale des Projekts FoDaKo ”. In Bibliothek Forschung & Praxis, 42(3). https://doi.org/10.18452/19671.
Karasti, Helena, Volkmar Pipek, and Geoffrey Bowker. 2018. “An Afterword to ‘Infrastructuring and Collabo rative Design”. Computer Supported Cooperative Work (CSCW) 27 (2): 267-89. https://doi.org/10.1007/s10606-017-9305-x.
Pipek, Volkmar, Helena Karasti, and Geoffrey Bowker, eds. 2018. Special Issue: Infrastructuring and Collaborative Design, Part II. 2nd ed. Vol. 27. Computer Supported Cooperative Work. Heidelberg: Springer Netherlands. https://www.springerprofessional.de/computer-supported-cooperative-work-cscw-2-2018/15648860.
Randall, Dave, Juri Dachtera, Tobias Dyrks, Bernhard Nett, Volkmar Pipek, Leonardo Ramirez, Gunnar Stevens, Ina Wagner, and Volker Wulf. 2018. “Research into Design Research Practices: Supporting an Agenda towards Self - Reflectivity and Transferability”. In Socio - Informatics - A Practice - based Perspective on the Design and Use of IT Artefacts, by Volker Wulf, Volkmar Pipek, David Randall, Markus Rohde, Kjeld Schmidt, and Gunnar Stevens, 491-540. Oxford University Press. https://oxford.universitypressscholarship.com/view/10.1093/oso/9780198733249.001.0001/oso-9780198733249-chapter-17.
Stevens, Gunnar, and Volkmar Pipek. 2018. “Making Use: Understanding, Studying, and Supporting Appropriation”. In Socio-Informatics - A Practice-based Perspective on the Design and Use of IT Artefacts, edited by Volker Wulf, Volkmar Pipek, David Randall, Markus Rohde, Kjeld Schmidt, and Gunnar Stevens, 139-76. Oxford University Press. https://oxford.universitypressscholarship.com/view/10.1093/oso/9780198733249.001.0001/oso-9780198733249-chapter-5.
Strauch, Annette. 2018. “Research Data Management for the Collaborative Research Centre 1187, „Media of Cooperation“.” https://doi.org/10.18452/19670.
Strauch, Annette. 2018. “Varieties of Cooperation. Mutually Making the Conditions of Mutual Making”. In . https://www.hsozkult.de/conferencereport/id/tagungsberichte-7531.
Strauch, Annette. 2018. “Medien der Kooperation SFB 1187”. DHd. https://dig-hum.de/forschung/projekt/medien-der-kooperation-sfb-1187.
Strauch, Annette. 2018. “Medien der Kooperation”. Forschungsdaten.org. http://www.forschungsdaten.org/index.php/Medien_der_Kooperation.


Curdt, Constanze, Volker Hess, Ania López, Benedikt Magrean, Dominik Rudolph, and Johanna Vompras. 2017. “Herausforderung Forschungsdatenmanagement - Unterstützung der Hochschulen durch eine einrichtungsübergreifende Kooperation in NRW”. In E-Science-Tage 2017: Forschungsdaten managen, edited by Vincent Heuveline and Jonas Kratzke, 95–103. Heidelberg: heiBOOKS. ISBN: 978-3-946531-75-3. https://doi.org/10.11588/heibooks.285.377.
Korn, Matthias, Aparecido Fabiano Pinnati de Carvalho, Amanda Langer, Phillipe Zots, Volker Wulf, and Volkmar Pipek. 2017. “Nomadic Culture in Academic Settings: Pervasive Commuting and Institutional Support as Defining Elements”. International Reports on Socio - Informatics (IRSI) 14 (3): 21-27. https://pdfs.semanticscholar.org/48f8/8b5d3ebfa6e65b4a07c888e4a354f7008fcd.pdf.
Korn, Matthias, Marén Schorch, Volkmar Pipek, Matthew Bietz, Carsten Østerlund, Rob Procter, David Ribes, and Robin Williams. 2017. “E-Infrastructures for Research Collaboration: The Case of the Social Sciences and Humanities”. In Proceedings of the 20th ACM Conference on Computer-Supported Cooperative Work and Social Computing Companion (CSCW 2017 Companion), 415-20. https://doi.org/10.1145/3022198.3022655.
Kratzke, Jonas, and Vincent Heuveline. 2017. “E-Science-Tage 2017.” https://doi.org/10.11588/heibooks.285.377.
Mosconi, Gaia, Matthias Korn, Christian Reuter, Peter Tolmie, Maurizio Teli, and Volkmar Pipek. 2017. “From Facebook to the Neighbourhood: Infrastructuring of Hybrid Community Engagement”. Computer Supported Cooperative Work 26 (4-6): 959-1003. https://doi.org/10.1007/s10606-017-9291-z.
Pipek, Volkmar, Helena Karasti, and Geoffrey Bowker. 2017. “A Preface to ‘Infrastructuring and Collaborative Design”. Computer Supported Cooperative Work (CSC W) 26 (1-2): 1-5. https://doi.org/10.1007/s10606-017-9271-3.
Pipek, Volkmar, Helena Karasti, and Geoffrey Bowker. 2017. Special Issue: Infrastructuring and Collaborative Design. 1-2. Vol. 26. Computer Supported Cooperative Work. Heidelberg: Springer Netherlands. https://doi.org/10.1007/s10606-017-9271-3.
Pipek, Volkmar, and Matthias Korn. 2017. “Appropriation Infrastructures for Research Communities of Practice”. Workshop on E - Infrastructures for Research Collaboration: The Case of the Social Sciences and Humanities at CSCW 2017.
Rekowski, Thomas von, and Volker Hess. 2017. “Fodako - Forschungsdaten Im Kooperationsverbund.” http://doi.org/10.5281/zenodo.1230525.
Strauch, Annette. 2017. “Komplementarität von OER und Open Science : Schwerpunkt Forschungsdaten”. In . https://nbn-resolving.org/urn:nbn:de:hbz:467-10940.
Strauch, Annette. 2017. “Medien Der Kooperation”. DINI Jahrestagung.


Curdt, Constanze, Florian Krämer, Volker Hess, Ania Lopez, Benedikt Magrean, Dominik Rudolph, and Johanna Vompras. 2016. “Einführung In Forschungsdatenmanagement.” http://doi.org/10.5281/zenodo.165126.
Ludwig, Thomas, Julian Dax, Volkmar Pipek, and David Randall. 2016. “Work or Leisure? Designing a UserCentered Approach for Researching Activity ‘in the Wild’”. Journal of Personal and Ubiquitous Computing (PUC) 20 (4): 487–515. https://doi.org/10.1007/s00779-016-0935-7.
Ludwig, Thomas, Christian Reuter, and Volkmar Pipek. 2016. “From Publics to Communities: Researching the Path of Shared Issues Through ICT”. Computer Supported Cooperative Work: The Journal of Collaborative Computing (JCSCW) 25 (2-3): 193-225. https://doi.org/10.1007/s10606-016-9252-y.
Reuter, Christian, Thomas Ludwig, Christoph Kotthaus, Marc-André Kaughold, Elmar von Radziewski, and Volkmar Pipek. 2016. “Big Data in a Crisis? Creating Social Media Datasets for Emergency Management Research”. i - com: Journal of Interactive Media 15 (3): 249-64. https://doi.org/10.1515/icom-2016-0036.