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Berfin Çakın is a PhD candidate at the Faculty of Political Sciences, Istanbul Medeniyet University. She was a visiting doctoral student at Radboud University Nijmegen in the Netherlands. Her research interests lie in the fields of emotions, ontological insecurity and equality issues. She is currently working on her doctoral thesis entitled “Ontological Insecurities and Gendered Political Space in Malaysia and Turkey”. Her work has been published in the Journals Democratization, Political Studies Review, and Politics and the Life Science. She is highly motivated in the Data Science Techniques for Survey Researchers course gain hands-on experience with R+ to support their research on emotions versus gender politics and Methodologically optimize attitudes towards gender equality.

Anjali Pathania is a PhD student in Management at the Indian Institute of Technology in Mandi, India. She believes that this online course on Data Science Techniques for Survey Researchers is a great opportunity and important platform for aspiring scientists to educate themselves, network and gain learning experiences. She is delighted to have been selected for one of six BERD@NFDI grants.

As PhD student in Accounting at Carroll School of Management at Boston College, United States he focusses on Corporate Disclosure, Information Intermediaries (Analysts, Media), Corporate Governance, and Managerial Incentives. In his studies, he is interested in using data science techniques such as machine learning and textual analysis to help generate new insights from unstructured data. He is very pleased to learn and enhance his skills in data acquisition, cleaning, and analyzing.

As postgraduate research student at the Department of Social Statistics of the University of Manchester he is pursuing a PhD in Social Statistics focuding on collecting representative survey data. In his studies, as well as in his prior work as a project manager, he became increasingly aware of the possibilities of using data science techniques to improve survey outcomes. He believes there is great potential in informing survey decisions through these methods but he mentiones that finding a course which systematically applies these techniques to survey research in particular is not easy. Therfor he is greatly appreciate being able to participate in the course Data Science Techniques for Survey Researchers and believes the instruction provides him with helpful information for his current projects and his future work.

For the first time, international students could apply for a BERD@NFDI scholarship to participate in the online course “Data Science Techniques for Survey Researchers” of the GESIS Summer School in Survey Methodology 2022.

The objective of the course is to provide the participants with a state of the art understanding of important methods from the data science toolkit for collection and analysis in order to be able to apply these methods and techniques in their own research. Further details on the course program can be found here.

ZBW, Zentralbibliothek für Wirtschaftswissenschaften / Leibniz-Informationszentrum Wirtschaft, is one of the information and IT infrastructure partners in BERD@NFDI. In its Open Science Magazine, the ZBW gives a brief overview of its contribution to the BERD consortium: https://open-science-future.zbw.eu/en/all-about-national-research-data-infrastructure-nfdi-2/

For more technical insights watch out the NFDI InfraTalk series on Monday, December 5th, 2022 on “Commercial cloud solutions for non-commercial RDM”.

Libraries already operate institutional or specialist repositories for research data, license research data or make them openly available and impart data management skills to scientists. The ZBW and Mannheim University Library are involved in the consortium BERD@NFDI for the establishment of a Germany-wide infrastructure for the management of non-standardized and unstructured data for economics and related disciplines. BERD@NFDI services and tools are supplemented by corresponding training courses in the field of data literacy. At the Bibliohekskongress 2022 in Leipzig, Klaus Tochtermann and Sabine Gehrlein offer an overview of the range of library activities.

The Mannheim University Library offers various services via its research data center (FDZ) according to research needs, operates an institutional research data repository and assumes a pilot function in the entire RDM process. Find out more insights about “Forschungsdatenservices für nicht-STM-Fächer“, needs and implementation in the library presented from Annette Klein and Irene Schumm at Bibliothekskongress 2022 in Leipzig.

Have a look to the iVA poster by Markus Herklotz and Lars Oberländer. It shows how iVA was created as an openly available and self-paced learning module that can be extended to further support data collaboration and FAIR principles.

You would like to know more about iVA or just try it? It is openly available on our website.

CONNECT is an annual Data Science conference that addresses students, young professionals, researchers, practitioners and others interested in the field of Data Science and Survey Research. On 9th-10th June the MCDS invites you to the Academic Speed Dating on Data Science and the Data Science Conference which will take place at the Mannheim Business School.