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12 materials found

Authors: David Wishart  or Daniel Faria 


BioData.pt | ELIXIR PT Training Data Stewards for Life Sciences - Intro Course

BioData.pt | ELIXIR Portugal, in collaboration with several other organizations has designed a program to train the first generation of Data Stewards for the life sciences, to support the implementation of data management, open science and FAIR data principles in Portuguese R&I organizations....

Scientific topics: Data management, Open science, FAIR data

Keywords: Data management plan, data-science, data-analysis, Data Integration, training, open science, data FAIRness, FAIR data, FAIR, FAIR principles, life sciences, data life cycle

Resource type: Training materials

Plant Phenotyping Data managment (MIAPPE)

This training material has been used in a two-day training workshop on data management organized by Elixir and the Wheat Initiative.

It provides an overview of current practices and methods for plant phenotyping data standardization, and how to deal with the variability and heterogeneity...

Scientific topics: Data management, Plant biology, Phenomics

Operations: Formatting, Annotation

Keywords: Plant Phenotyping, Data-format, data sharing

Resource type: Training materials

Ready For BioData Management?

"Ready For BioData Management?" is BioData.pt/ELIXIR-Portugal's capacity building program in data management for the life sciences.
Under this program, we have organized an intro-level workshop on data management plans, the material for which is available.
We are also organizing an advanced...

Scientific topics: Data management

Keywords: Data managment plan

Resource type: course materials

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.