Register training material
11 materials found

Authors: Jan Slifka  or Boris Steipe 


DS Wizard and its Use

This training gives an overview and explains what is the purpose of smart data management plans as living documents, core ideas behind Data Stewardship Wizard, and how to use it in practice. Furthermore, it shows the versability of DSW, its top-notch features that make...

Scientific topics: Data management

Keywords: DMP, DMP tools, data stewardship, FAIR, FAIR data

Resource type: Presentation

A Gentle Introduction to DSW for Convergers

Data Stewardship Wizard brings together data stewards and researchers to efficiently compose data management plans (DMPs) for their research projects. Data stewards capture their knowledge and expertise in so-called knowledge models that are turned into smart...

Scientific topics: Data management, Data governance

Keywords: Data managment plan, data stewardship, data management, software tools

Resource type: Video, Slides, Webinar

Data Stewardship Wizard Workshop (Feb 2020)

Data Stewardship Wizard brings together data stewards and researchers to allow managing data in projects efficiently and in a FAIR manner. Data stewards can easily capture the knowledge including required project data and decisions in knowledge models that are then turned into...

Scientific topics: Data governance, Data management

Keywords: Data management plan, data stewardship, FAIR, data management, software tools

Resource type: Video, Webinar, Slides

Exploratory Analysis of Biological Data using R 2018

Course covered for this workshop are broadly relevant for many areas of modern, quantitative biology such as flow cytometry, expression profile analysis, function prediction and more.

Introduction to R 2018

Course introduces essential ideas and tools of R, and covers statistical tests in R.

Exploratory Analysis of Biological Data using R 2017 Module 5-Hypothesis Testing

Course covers essential tools and strategies that are available for EDA through the free statistical workbench R.

Exploratory Analysis of Biological Data using R 2017 Module 4-Clustering

Course covers essential tools and strategies that are available for EDA through the free statistical workbench R.

Exploratory Analysis of Biological Data using R 2017 Module 3-Dimension Reduction

Course covers essential tools and strategies that are available for EDA through the free statistical workbench R.

Exploratory Analysis of Biological Data using R 2017 Module 2-Regression

Course covers essential tools and strategies that are available for EDA through the free statistical workbench R.

Exploratory Analysis of Biological Data using R 2017 Module 1-Exploratory Data Analysis

Course covers essential tools and strategies that are available for EDA through the free statistical workbench R.

Introduction to R 2017

Course covers the bioinformatics tools available for meeting the challenges of data handling and breaking down problems into structured parts using R.