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  • Workshop on Data Literacy at the University:Future Festival 2024

    The workshop "Data Discovery: Gemeinsam die Welt der Datenkompetenzen erkunden" at the University:Future Festival 24 offers the opportunity to delve into the world of data literacy and to get to know an innovative evaluation concept for university teaching. The concept was developed in cooperation with various universities as part of the working group on data literacy of the Stifterverband, in which the Bielefeld Center for Data Science and its managing director Dr. Katharina Weiß are also involved. The workshop is aimed at anyone interested in higher education evaluation and data literacy. The methods presented are not only applicable to data literacy, but can also be transferred to other subject areas. In addition, participants will get a compact overview of key areas of expertise in modern data literacy courses, such as data analysis, critical thinking and ethical use of data.


  • Successful Workshop: Data Storytelling

    The workshop of BiCDaS and AE06 - Psychological Methods and Evaluation “Mit Daten Geschichten erzählen: Data Storytelling als Ansatz um Datenanalyseergebnisse adressat:innengerecht zu kommunizieren” during the Faculty of Psychology and Sport's Reading and Excursion Week was a complete success. Participants were able to learn the basics of data storytelling, such as how to combine data, visualisations and stories to communicate important issues such as the climate crisis or the coronavirus pandemic in an understandable way. A practical element of the programme was the use of Jupyter notebooks in R for various visualisation methods such as word clouds. For the participants, this was a valuable step towards targeted data communication.


  • New data lab for sustainability and climate change launched

    A new data lab "Bi DataLab Sustainability and Climate Change" has been founded at Bielefeld University at the Bielefeld Centre for Data Science. Data labs represent an agile approach to (internal) research collaboration, characterised by a thematic focus and a clear needs-driven orientation. The newly founded DataLab Sustainability and Climate Change at BiCDaS invites researchers at Bielefeld University working on sustainability, climate change and environmental protection to the Sustainability Networking Workshop on 7 June from 9 am to 2 pm. During the workshop - after a session of short (approx. 5 min) spotlight presentations - groups of researchers with similar research interests will come together with the aim of networking and thus making a more effective joint contribution to sustainability, e.g. by attracting third party funding for research projects. Interested researchers can register at Please include a brief note on the sustainability relevance of your own research and whether you are interested in submitting a Spotlight contribution.


  • BiCDaS Lecture Series: "Digital Literacy mit ChatGPT: Kompetenzen zum Umgang mit digitalen Texten"

    On 17 June 2024, Prof. Dr. Andreas Witt from the Leibniz Institute for the German Language Mannheim will give a lecture on "Digital Literacy mit ChatGPT: Kompetenzen zum Umgang mit digitalen Texten". The lecture will take place from 12:15 to 13:45 in the Cafe Nordlicht at Bielefeld University on site but also as a hybrid event online via Zoom. The lecture emphasises digital literacy in the humanities, with a focus on research data and the role of ChatGPT in the development of digital literacy. It begins with a conceptual introduction to digital literacy, highlighting the importance of digital texts in science, and covers their representation, analysis and processing, highlighting Python and spaCy as key tools.


Weitere Meldungen

An Holistic Approach to Data Science

Media and job advertisements for Data Scientists often focus on analytical aspects. The daily routine of a data scientist, advising decision making based on data or developing data products, often focusses on data analysis.

At BiCDaS we decided that, for us, an academic approach to data science should be holistic, meaning we take a step backwards and consider the entire life span of scientific data: We start at a problem or question, move on to data collection and preparation. Then only comes the analysis and questions about deriving value/benefit from the analytic results. Not stopping there, we move on to questions about data storage, retrieval, sharing, re-use and linkage.

This holistic approach to the topic is often modelled in "Data Life Cycle". There are different formulations of this cycle; however, BiCDaS members agree on the formulation depicted in the graphic below:

Graphic of the Lifecycle
The data life cycle. A model for the life span of scientific data. © Reinhold Decker

The data life cycle serves as a guiding model for BiCDaS and structures our discussions and strategic measures. It is important to note that the Data Life Cycle does not identify different, isolated stages. On the contrary, in each stage, the investigator needs to be aware of all the stages because each decision could potentially affect another stage.

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