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7 materials found

Authors: Jan Slifka  or András Aszódi 


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](https://ds-wizard.org), 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

DS Wizard and its Use http://tess.elixir-uk.org/materials/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](https://ds-wizard.org), and how to use it in practice. Furthermore, it shows the versability of DSW, its top-notch features that make data management planning easier and more efficient, as well as possibilities of customization and integrations with other systems in institutions. Data management DMP, DMP tools, data stewardship, FAIR, FAIR data Researchers data stewards
A Gentle Introduction to DSW for Convergers

[Data Stewardship Wizard](https://ds-wizard.org) 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 governance, Data management

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

Resource type: Video, Slides, Webinar

A Gentle Introduction to DSW for Convergers http://tess.elixir-uk.org/materials/a-gentle-introduction-to-dsw-for-convergers [Data Stewardship Wizard](https://ds-wizard.org) 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 questionnaires filled by researchers. They can then export their answers to human-readable documents following the well-known templates such as Science Europe or Horizon 2020; or machine-actionable files for further processing. Data governance Data management Data managment plan, data stewardship, data management, software tools data managers Researchers data stewards
Data Stewardship Wizard Workshop (Feb 2020)

[Data Stewardship Wizard](ds-wizard.org) 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 management, Data governance

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

Resource type: Video, Webinar, Slides

Data Stewardship Wizard Workshop (Feb 2020) http://tess.elixir-uk.org/materials/data-stewardship-wizard-workshop-feb-2020 [Data Stewardship Wizard](ds-wizard.org) 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 per-project questionnaires to be filled by researchers. This workshop explains the core functionality of the Data Stewardship Wizard. Video recording from the workshop is available **[here](https://www.youtube.com/watch?v=aGpr6JFMuiE)**. Data management Data governance Data management plan, data stewardship, FAIR, data management, software tools Researchers data stewards
Statistics with R

The aim of this course is to teach you how to perform basic statistical analysis using R. First we review the foundations (sampling theory, discrete and continuous distributions), then we focus on classical hypothesis testing. This course will improve your generic statistics knowledge....

Scientific topics: Statistics and probability

Keywords: Biostatistics, R

Statistics with R http://tess.elixir-uk.org/materials/statistics-with-r The aim of this course is to teach you how to perform basic statistical analysis using R. First we review the foundations (sampling theory, discrete and continuous distributions), then we focus on classical hypothesis testing. This course will improve your generic statistics knowledge. Topics: Sampling theory: obtaining information about a population via sampling. Sample characteristics (location, dispersion, skewness), estimation of the mean, standard error of the mean. Discrete and continuous probability distributions. Central limit theorem. Hypothesis testing. Basic principles, one- and two-sided testing, types of errors, power calculations. "Cookbook of tests": location testing, normality, variance comparisons, counting statistics, contingency tables, regression tests. Statistics and probability Biostatistics, R 2016-04-21 2017-10-09
Python programming primer

The purpose of this training is to teach general programming concepts using Python as an instruction tool. Topics: Introduction to Python: basic principles. Python data structures: strings, tuples, lists, dictionaries, sets. Object-oriented programming: how to model coffee machines in Python...

Scientific topics: Software engineering

Keywords: Python biologists

Python programming primer http://tess.elixir-uk.org/materials/python-programming-primer The purpose of this training is to teach general programming concepts using Python as an instruction tool. Topics: Introduction to Python: basic principles. Python data structures: strings, tuples, lists, dictionaries, sets. Object-oriented programming: how to model coffee machines in Python :-). Inheritance (base and derived classes), polymorphism. Write your own script to convert BED files to GFF. Command-line option processing, file I/O, error handling. Software engineering Python biologists 2016-04-21 2017-10-09
R as a programming language

This course is aimed at colleagues who would like to learn how to use the statistical programming language "R". We will learn about the data structures and functions in R, and how to write R scripts. Topics: Introduction to R: general principles. Data structures in R: vectors, matrices, arrays,...

Keywords: R programming

R as a programming language http://tess.elixir-uk.org/materials/r-as-a-programming-language This course is aimed at colleagues who would like to learn how to use the statistical programming language "R". We will learn about the data structures and functions in R, and how to write R scripts. Topics: Introduction to R: general principles. Data structures in R: vectors, matrices, arrays, lists, data frames. Data import/export. Functions in R: how to write your own functions and scripts. Visualization in R: various plot types (built-in graphics only). R programming 2016-04-21 2017-10-09
UNIX command line and scripting

The first part of this course introduces the UNIX command line on a Linux or Mac. The second part provides a basic introduction to string searches and scripting with AWK and BASH.

Keywords: Awk, Bash, Unix

UNIX command line and scripting http://tess.elixir-uk.org/materials/unix-command-line-and-scripting The first part of this course introduces the UNIX command line on a Linux or Mac. The second part provides a basic introduction to string searches and scripting with AWK and BASH. Awk, Bash, Unix 2016-04-21 2017-10-09