Report on the “Big Data Training School for Life Sciences”, 18-22 September 2017, Uppsala, Sweden

Authors

  • Juliane Pfeil Technical University of Applied Sciences, Wildau
  • Sabrina Kathrin Schulze University of Potsdam, Potsdam
  • Eftim Zdravevski Faculty of Computer Science and Engineering, Sts. Cyril and Methodius University in Skopje, Skopje
  • Yen Hoang German Rheumatism Research Center Berlin, A Leibniz Institute, Berlin

DOI:

https://doi.org/10.14806/ej.23.0.905

Keywords:

Training School, Big Data, Bioinformatics

Abstract

In September 2017 a "Big Data Training School for Life Sciences" took place in Uppsala, Sweden, jointly organised by EMBnet and the COST Action CHARME (Harmonising standardisation strategies to increase efficiency and competitiveness of European life-science research - CA15100). The week programme was divided into hands-on sessions and lectures. In both cases, insights into dealing with big amounts of data were given. This paper describes our personal experience as students’ by providing also some suggestions that we hope can help the organisers as well as other trainers to further increase the efficiency of such intensive courses for students with diverse backgrounds.

Author Biographies

  • Juliane Pfeil, Technical University of Applied Sciences, Wildau

    Division Molecular Biotechnology and Functional Genomics

    Phd student and research associate

  • Sabrina Kathrin Schulze, University of Potsdam, Potsdam
    Cell2Fab (Synthetic Biology, Faculty of Biochemistry and Biology)
    Postdoc.
  • Eftim Zdravevski, Faculty of Computer Science and Engineering, Sts. Cyril and Methodius University in Skopje, Skopje
    Department of Information Systems, Assistant professor, PhD
  • Yen Hoang, German Rheumatism Research Center Berlin, A Leibniz Institute, Berlin

    Dept. Signal Transduction

    PhD Candidate in Bioinformatics

Downloads

Additional Files

Published

2018-02-02

Issue

Vol. 23

Section

Reports

License

Authors who publish with this journal agree to the following terms:
  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).