What we offer

Many platforms offer their content in data form via APIs and/or as bulk downloads [link to data sources subpage here?]. Please get in touch with us if you

• would like some guidance on the data sources available and their terms of use
• need some support with the use of data interfaces or TDM platforms or
• wish to receive advice on data cleansing, data enrichment or data transformation.

We would be delighted to arrange specific input and workshops for your research group or students on the following subjects, among others:

• Introduction to OpenRefine
• Getting started with data processing with Python and Jupyter Notebooks
• Using APIs
• Data cleansing with Python
• Introduction to text and data mining (TDM)
• Using TDM platforms
• Introduction to linked open data (LOD)

You will find the documentation for past events here:

• Text and Data Mining: A First View (2021, Slides)
• OpenRefine (2021/22, Slides)
• Text- und Datamining in the Sozialwissenschaften (2022, Slides)

Bern Digital Archive (BerDA) is the University Library of Bern’s infrastructure for digital long-term archiving (dLZA). It allows data to be maintained in the long term, i.e. across multiple generations of formats, software and hardware. Depending on the format, usability (representation and interpretation) can also be guaranteed through format migrations.
More information about the dLZA.

Kathi Woitas

M.A., Library Science, European Ethnology, Humboldt Universität zu Berlin and several data science courses (CAS Data Analysis, CAS Statistical Modelling, CAS Practical Machine Learning, CAS Big Data)

René Frei

MSc Information Science, HTW Chur