Register training material
12 materials found

Authors: David Wishart  or Jan Slifka 


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 governance, Data management

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 management, Data governance

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

Resource type: Video, Webinar, Slides

Informatics and Statistics for Metabolomics 2018 Module 6-Future of Metabolomics

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2018 Module 3-Databases for Chemical, Spectral, and Biological Data

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2018 Module 2-Metabolite Identification and Annotation

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2018 Module 1-Introduction to Metabolomics

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, using pathway databases, performing pathway analysis, conducting univariate and multivariate statistics, working with metabolomics databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2017 Module 6-Future of Metabolomics

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2017 Module 5-MetaboAnalyst

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2017 Module 3-Databases for Chemical, Spectral, and Biological Data

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2017 Module 2-Metabolite Identification and Annotation

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases.

Informatics and Statistics for Metabolomics 2017 Module 1-Introduction to Metabolomics

Course covers many topics ranging from understanding metabolomics technologies, data collection and analysis, conducting univariate and multivariate statistics, working with metabolomic databases, and exploring chemical databases.