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  • Computing Skills for Reproducible Research: Software Carpentry Course 2020

    19 - 23 October 2020

    Computing Skills for Reproducible Research: Software Carpentry Course 2020 Educators: Renato Alves (HD-HuB) Date: 19-10-2020 - 23-10-2020 09:00-18:00 Location: Online Contents: Computation is an integral part of today's research as data has grown too large or too complex to be analysed by hand. An ever-growing fraction of science is performed computationally and many wet-lab biologists spend part of their time on the computer. Many scientists struggle with this aspect of research as they have not been properly trained in the necessary set of skills. The result is that too much time is spent using inefficient tools when progress could be faster. This course provides training in several key tools, with a focus on good development practices that encourage efficient and reproducible research computing. Topics covered include: Introduction to Python scripting Introduction to the Unix shell and usage of cluster resources Version control with Git and Github Analysis pipeline management Scientific Python & working with biological data Literate programming with Jupyter notebooks Learning goals: This course aims to teach software writing skills and best practices to researchers in biology who wish to analyse data, and to introduce a toolset that can help them in their work. The goal is to enable them to be more productive and to make their science better and more reproducible. Prerequisites: This is a course for researchers in the life sciences who are using computers for their analyses, even if not full time. The target student will be familiar with some command line/programmatic computer usage, will want to become more confident using these tools efficiently and reproducibly. A target student will have written a for loop in some language before, but will not know what git is (or at least not be very comfortable using git). Keywords: Programming; Command Line; Version Control; Bioinformatics; Data Analysis; Cluster Computing Tools: Python; Bash; Unix/Linux; Git; GitHub; SnakeMake; Biopython; Pandas; Numpy; SciPy; Matplotlib 2020-10-19 09:00:00 UTC 2020-10-23 17:00:00 UTC de.NBI Heidelberg, Heidelberg, Germany Heidelberg Heidelberg Karlsruhe Germany [] [] [] workshops_and_courses [] []
  • Helis Academy course FAIR data stewardship 2021

    17 - 31 March 2021

    Elixir node event
    Helis Academy course FAIR data stewardship 2021 Did you ever wonder how to improve your data handling in your daily research practice? Want to improve the FAIRness of your data? Did you recently start a job as data steward? Are you thinking of starting a career as a data steward in the life sciences in academia or industry? Join this introductory course to FAIR data stewardship in the life sciences! The course exists of the following six half-days, that together form a full course: * March 17, 2021 (13-17 CET) * March 18 (13-17) * March 22 (9-13) * March 24 (9-13) * March 29 (9-13) * March 31 (9-13) During this course researchers, data stewards and experts of fields related to data stewardship will introduce you to several areas of research data management and technologies which ease the process of creating and maintaining FAIR research data. The course will introduce the trainees to important concepts of data stewardship and the data steward competency framework. We start with a general introduction covering the data life cycle and the FAIR data principles. We will pass the stages of the data life cycle in more detail in the training modules of the course. The following topics will be discussed at an introductory level: * Data stewardship competency framework & the FAIR data stewardship landscape * (Reviewing) data management plans * Informed consent procedures * Data discovery and capturing data * Preregistration * Data security and privacy * Infrastructure for storing and sharing data * Tools for processing and analysing data * Organising, versioning and documenting data * Data and software carpentry * Archiving data * Data rights * FAIR data * Metadata & ontologies 2021-03-17 09:00:00 UTC 2021-03-31 00:00:00 UTC DTLS - Dutch Techcentre For Life Sciences Online, Online, Online Online Online Online FAIR data Data management [] Mijke Jetten, [] PhD candidate 30 workshops_and_courses first_come_first_served Data preservingData reuseData analysisData management planningData processingData sharingData collection

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