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Related resources: Proteomics dataset  or Workshop recording 

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
DSW Template Development Kit: The Tutorial

[Data Stewardship Wizard](ds-wizard.org) is a flexible questionnaire-based tool that uses Jinja2 templates to produce documents. It allows creating documents in practically any textual format. Such documents can be intended for both humans (HTML, Markdown, reStructuredText, etc.) and machines...

Scientific topics: Data management

Keywords: data stewardship, data management plan, FAIR, data management, software tools, DMP templates, template development

Resource type: Video, Slides, Webinar

DSW Template Development Kit: The Tutorial http://tess.elixir-uk.org/materials/dsw-template-development-kit-the-tutorial [Data Stewardship Wizard](ds-wizard.org) is a flexible questionnaire-based tool that uses Jinja2 templates to produce documents. It allows creating documents in practically any textual format. Such documents can be intended for both humans (HTML, Markdown, reStructuredText, etc.) and machines (e.g. RDF, YAML, or JSON). Our Template Development Kit (DSW TDK) is a command-line tool to make the work on templates efficient. Data management data stewardship, data management plan, FAIR, data management, software tools, DMP templates, template development data stewards data managers
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
Proteomics - Peptide and Protein ID using OpenMS tools

Training material for proteomics workflows in Galaxy Questions of the tutorial: - How to convert LC-MS/MS raw files? - How to identify peptides? - How to identify proteins? - How to evaluate the results? Objectives of the tutorial: - Protein identification from LC-MS/MS raw files.

Resource type: Tutorial

Proteomics - Peptide and Protein ID using OpenMS tools http://tess.elixir-uk.org/materials/proteomics-peptide-and-protein-id-using-openms-tools Training material for proteomics workflows in Galaxy Questions of the tutorial: - How to convert LC-MS/MS raw files? - How to identify peptides? - How to identify proteins? - How to evaluate the results? Objectives of the tutorial: - Protein identification from LC-MS/MS raw files.
Proteomics - Peptide and Protein Quantification via Stable Isotope Labelling (SIL)

Training material for proteomics workflows in Galaxy Questions of the tutorial: - What are MS1 features? - How to quantify based on MS1 features? - How to map MS1 features to MS2 identifications? - How to evaluate and optimize the results? Objectives of the tutorial: - MS1 feature...

Resource type: Tutorial

Proteomics - Peptide and Protein Quantification via Stable Isotope Labelling (SIL) http://tess.elixir-uk.org/materials/proteomics-peptide-and-protein-quantification-via-stable-isotope-labelling-sil Training material for proteomics workflows in Galaxy Questions of the tutorial: - What are MS1 features? - How to quantify based on MS1 features? - How to map MS1 features to MS2 identifications? - How to evaluate and optimize the results? Objectives of the tutorial: - MS1 feature quantitation and mapping of quantitations to peptide and protein IDs.
Proteomics - Peptide and Protein ID using SearchGUI and PeptideShaker

Training material for proteomics workflows in Galaxy Questions of the tutorial: - How to convert LC-MS/MS raw files? - How to identify peptides? - How to identify proteins? - How to evaluate the results? Objectives of the tutorial: - Protein identification from LC-MS/MS raw files.

Resource type: Tutorial

Proteomics - Peptide and Protein ID using SearchGUI and PeptideShaker http://tess.elixir-uk.org/materials/proteomics-peptide-and-protein-id Training material for proteomics workflows in Galaxy Questions of the tutorial: - How to convert LC-MS/MS raw files? - How to identify peptides? - How to identify proteins? - How to evaluate the results? Objectives of the tutorial: - Protein identification from LC-MS/MS raw files.
Proteomics - Secretome Prediction

Training material for proteomics workflows in Galaxy Questions of the tutorial: - How to predict cellular protein localization based upon GO-terms? - How to combine multiple localization predictions? Objectives of the tutorial: - Predict proteins in the cellular secretome by using...

Resource type: Tutorial

Proteomics - Secretome Prediction http://tess.elixir-uk.org/materials/proteomics-secretome-prediction Training material for proteomics workflows in Galaxy Questions of the tutorial: - How to predict cellular protein localization based upon GO-terms? - How to combine multiple localization predictions? Objectives of the tutorial: - Predict proteins in the cellular secretome by using GO-terms. - Predict proteins in the cellular secretome by using WolfPSORT. - Combine the results of both predictions.
Proteomics - Metaproteomics tutorial

Training material for proteomics workflows in Galaxy Questions of the tutorial: - How can I match metaproteomic mass spectrometry data to peptide sequences derived from shotgun metagenomic data? - How can I perform taxonomy analysis and visualize metaproteomics data? - How can I perform...

Resource type: Tutorial

Proteomics - Metaproteomics tutorial http://tess.elixir-uk.org/materials/proteomics-metaproteomics-tutorial Training material for proteomics workflows in Galaxy Questions of the tutorial: - How can I match metaproteomic mass spectrometry data to peptide sequences derived from shotgun metagenomic data? - How can I perform taxonomy analysis and visualize metaproteomics data? - How can I perform functional analysis on this metaproteomics data? Objectives of the tutorial: - A taxonomy and functional analysis of metaproteomic mass spectrometry data.