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1399 materials found

Useful ontologies for harmonizing cohort data

This video describes a community of practice for interoperable ontology building called the OBO Foundry, and highlights a number of well curated and maintained ontologies that are useful for annotating cohort data.

Scientific topics: Ontology and terminology, Data management, Data integration and warehousing

Keywords: Ontologies, Cohort data, data annotation

Resource type: Video

Useful ontologies for harmonizing cohort data http://tess.elixir-uk.org/materials/useful-ontologies-for-harmonizing-cohort-data This video describes a community of practice for interoperable ontology building called the OBO Foundry, and highlights a number of well curated and maintained ontologies that are useful for annotating cohort data. Ontology and terminology Data management Data integration and warehousing Ontologies, Cohort data, data annotation Anyone interested in data standardization and/or the ontology approach (i.e. public, end users).
Slides from Data Management Planning Workshop

Slides from Data Management Planning online workshop for Life Science Projects for researchers at UiO 2020-12-11

Scientific topics: Data management

Operations: Data handling, Data retrieval, Deposition

Keywords: Data management plan, data management

Resource type: Slides

Slides from Data Management Planning Workshop http://tess.elixir-uk.org/materials/slides-from-data-management-planning-workshop-96479971-67e0-47d6-a5de-b2b8f4dbea62 Slides from Data Management Planning online workshop for Life Science Projects for researchers at UiO 2020-12-11 Data management Data management plan, data management PhD students Professors Professors All postgraduates
Introduction to Protein Structure Analysis

This training session will provide the basics of protein structure determination and how this information is stored in databases. We will explore and search in online databases containing protein structure information. With the aid of the Yasara View program we will visualize the structure....

Operations: Visualisation

Keywords: Protein structure visualisation

Resource type: e-learning

Introduction to Protein Structure Analysis http://tess.elixir-uk.org/materials/introduction-to-protein-structure-analysis This training session will provide the basics of protein structure determination and how this information is stored in databases. We will explore and search in online databases containing protein structure information. With the aid of the Yasara View program we will visualize the structure. Different hands-on exercises will allow you to compare the structure of homologues, to predict a structural model of proteins (without any structure information) and to find homologous structures. We will use online tools to quantify various interactions in the structures. ## Objectives * Get to know the data generated from protein structure determination experiments (high-resolution NMR spectroscopy, X-ray crystallography, electron microscopy, ...) and where to get it. * Display protein structure data and compare structures, through the use of Yasara. * Create high-quality graphical representations of the structures. * Calculate the effect of mutations on the stability of your protein. Janick Mathys Protein structure visualisation Life Science Researchers
Reproducible data analysis with RStudio, github and Rmarkdown

Best practices for writing reproducible data-analysis Creating a reproducible and re-usable data-analysis environment with Rstudio Input: https://github.com/vibbits/RDM-LS Output: https://github.com/vibbits/RDM-LS-solution

Scientific topics: Data management, Data architecture, analysis and design

Keywords: Data analysis

Resource type: Presentation

Reproducible data analysis with RStudio, github and Rmarkdown http://tess.elixir-uk.org/materials/reproducible-data-analysis-with-rstudio-github-and-rmarkdown Best practices for writing reproducible data-analysis Creating a reproducible and re-usable data-analysis environment with Rstudio Input: https://github.com/vibbits/RDM-LS Output: https://github.com/vibbits/RDM-LS-solution Data management Data architecture, analysis and design Data analysis life scientists
Data security and encryption

1. Data security 2. Encryption 3. Passwords

Scientific topics: Data management, Data security

Keywords: data encryption

Resource type: Presentation

Data security and encryption http://tess.elixir-uk.org/materials/data-security-and-encryption 1. Data security 2. Encryption 3. Passwords Data management Data security data encryption life scientists
Valorisation and intellectual properties in research data management

### Valorisation and IP * Basics of Tech Transfer and IPR from an academic perspective * Insights as to: * Why is it important when handling and managing research data? * How do IP rights fit in FAIR data principles * When to safeguard data for proprietary protection? * Where/how...

Scientific topics: Data management

Keywords: intellectual property protection

Resource type: Presentation

Valorisation and intellectual properties in research data management http://tess.elixir-uk.org/materials/valorisation-and-interlectual-properties-in-research-data-management ### Valorisation and IP * Basics of Tech Transfer and IPR from an academic perspective * Insights as to: * Why is it important when handling and managing research data? * How do IP rights fit in FAIR data principles * When to safeguard data for proprietary protection? * Where/how share and publish data if valorisation is in scope? Data management intellectual property protection life scientists
Preserve, publish and share your data

- why preserve data - what data should be preserved - how share data - where to deposit your data - Fairsharing, re3data - ELIXIR Core Resources - Data Formats - Generic archives

Scientific topics: Data management, Data submission, annotation, and curation

Keywords: data formats, ELIXIR Core resources, FAIR data submission

Resource type: Presentation

Preserve, publish and share your data http://tess.elixir-uk.org/materials/preserve-publish-and-share-your-data - why preserve data - what data should be preserved - how share data - where to deposit your data - Fairsharing, re3data - ELIXIR Core Resources - Data Formats - Generic archives Data management Data submission, annotation, and curation data formats, ELIXIR Core resources, FAIR data submission life scientists
Reusing existing data

- how to find existing data (OmicsDI, pubmed, BioStudies, Google Data search, Data Management Hub) - licenses - datasets as first-class research products - research software as first-class research products - data citations

Scientific topics: Data management

Keywords: data licenses, software licenses, data journal

Resource type: Presentation

Reusing existing data http://tess.elixir-uk.org/materials/reusing-existing-data - how to find existing data (OmicsDI, pubmed, BioStudies, Google Data search, Data Management Hub) - licenses - datasets as first-class research products - research software as first-class research products - data citations Data management data licenses, software licenses, data journal life scientists
Organising your data: structure and versioning

how to store and organize data safe, easy and efficient - practical recommendation for folder structures and file naming schemes

Scientific topics: Data management

Keywords: data stewardship, data collection

Resource type: Presentation

Organising your data: structure and versioning http://tess.elixir-uk.org/materials/organising-your-data-structure-and-versioning how to store and organize data safe, easy and efficient - practical recommendation for folder structures and file naming schemes Nele Pauwels Data management data stewardship, data collection
FAIRify your data: data documentation and metadata

“Documentation is a love letter that you write to your future self.” Damian Conway (2005) Make your data as useful as possible for “your future self” and others Never forget what you did or how or why you did it Always find beck your precious data (easily) Make data understandable,...

Scientific topics: Data management

Keywords: data documentation, metadata

Resource type: Presentation

FAIRify your data: data documentation and metadata http://tess.elixir-uk.org/materials/fairify-your-data-data-documentation-and-metadata “Documentation is a love letter that you write to your future self.” Damian Conway (2005) Make your data as useful as possible for “your future self” and others Never forget what you did or how or why you did it Always find beck your precious data (easily) Make data understandable, reproducible and reusable by “your future self” and others Avoid misinterpretation Data management data documentation, metadata life scientists
Data Management Plans

dmponline.be - creating data management plans why, what to cover, examples and self-assessment grids

Keywords: Data management planning

Resource type: Presentation

Data Management Plans http://tess.elixir-uk.org/materials/data-management-plans dmponline.be - creating data management plans why, what to cover, examples and self-assessment grids Data management planning life scientists
Privacy and GDPR in the research life cycle

0. The basics 1. Planning your research from a GDPR point of view 2. From planning to collecting your data 3. Structuring and analyzing your data 4. Sharing, publishing, archiving and destroying your data

Scientific topics: Data management

Keywords: GDPR

Resource type: Presentation

Privacy and GDPR in the research life cycle http://tess.elixir-uk.org/materials/privacy-and-gdpr-in-the-research-life-cycle 0. The basics 1. Planning your research from a GDPR point of view 2. From planning to collecting your data 3. Structuring and analyzing your data 4. Sharing, publishing, archiving and destroying your data Data management GDPR life scientists
Research Data Management: Trends and requirements

Paula Oset - Research funders and journal policies

Scientific topics: Data management

Keywords: journal policies, research funding

Resource type: Presentation

Research Data Management: Trends and requirements http://tess.elixir-uk.org/materials/research-data-management-trends-and-requirements Paula Oset - Research funders and journal policies Data management journal policies, research funding life scientists
Introduction to Research Data Management and the data life cycle

RESEARCH DATA MANAGEMENT IN LIFE SCIENCES Introduction to RDM & data lifecycle Thomas Van de Velde (Data steward team Ghent University)

Keywords: research data, data management

Resource type: Presentation

Introduction to Research Data Management and the data life cycle http://tess.elixir-uk.org/materials/introduction-to-research-data-management-and-the-data-life-cycle RESEARCH DATA MANAGEMENT IN LIFE SCIENCES Introduction to RDM & data lifecycle Thomas Van de Velde (Data steward team Ghent University) research data, data management life scientists
Slides from Data Management Planning Workshop

Slides from Data Management Planning online workshop for Life Science Projects for researchers at NTNU 2020-12-01

Scientific topics: Data management

Operations: Data handling, Data retrieval, Deposition

Keywords: Data management plan, data management

Resource type: Slides

Slides from Data Management Planning Workshop http://tess.elixir-uk.org/materials/slides-from-data-management-planning-workshop-08010d67-d503-436b-95b9-6fe29f47ebba Slides from Data Management Planning online workshop for Life Science Projects for researchers at NTNU 2020-12-01 Data management Data management plan, data management PhD students Professors Post Docs All postgraduates
IFB Shiny training

Shiny package training (in french)

Keywords: R-programming, Reproducible Science

IFB Shiny training http://tess.elixir-uk.org/materials/ifb-shiny-training Shiny package training (in french) Hélène Chiapello Jacques van Helden R-programming, Reproducible Science bioinformaticians statisticians
Status Update Code of Conduct: Teaming up & Talking about it

CINECA webinar about the code of conduct for the sector of health research according to Art. 40 GDPR

Keywords: GDPR, Healthcare research, data harmonization

Resource type: Video

Status Update Code of Conduct: Teaming up & Talking about it http://tess.elixir-uk.org/materials/status-update-code-of-conduct-teaming-up-talking-about-it CINECA webinar about the code of conduct for the sector of health research according to Art. 40 GDPR GDPR, Healthcare research, data harmonization
Research Data Management in Life Sciences

The content provided via this link was used in the training on 9 and 10 November 2020 organized by Ghent University and Elixir Belgium and VIB in collaboration with Interreg Vlaanderen-Nederland: https://training.vib.be/all-trainings/research-data-management-life-sciences.

Scientific topics: Data management

Resource type: Presentation, Vignette, Video

Research Data Management in Life Sciences http://tess.elixir-uk.org/materials/research-data-management-in-life-sciences The content provided via this link was used in the training on 9 and 10 November 2020 organized by Ghent University and Elixir Belgium and VIB in collaboration with Interreg Vlaanderen-Nederland: https://training.vib.be/all-trainings/research-data-management-life-sciences. Data management Life Science Researchers
FAIR principles applied to bioinformatics

Content of the training material: - Introduction to reproducibility - encapsulate a work environment (docker) - design and execute workflows (snakemake) - IFB infrastructure (Slurm cluster) - managing software versions (git) - managing software environments (conda) - ensure...

Keywords: FAIR, Reproducible Science, Open science, Data analysis, Data processing

Resource type: Training materials

FAIR principles applied to bioinformatics http://tess.elixir-uk.org/materials/fair-principles-applied-to-bioinformatics Content of the training material: - Introduction to reproducibility - encapsulate a work environment (docker) - design and execute workflows (snakemake) - IFB infrastructure (Slurm cluster) - managing software versions (git) - managing software environments (conda) - ensure the traceability of analysis using Notebooks. The training material is in french Hélène Chiapello FAIR, Reproducible Science, Open science, Data analysis, Data processing bioinformaticians software developers, bioinformaticians computational scientists Researchers
SPARQLing Biology: a beginners course

Course given at BioSB 2019 for biologists about SPARQL.

Scientific topics: Biology

Operations: Query and retrieval

Keywords: Sparql queries, Sparql syntax

Resource type: Tutorial

SPARQLing Biology: a beginners course http://tess.elixir-uk.org/materials/sparqling-biology-a-beginners-course Course given at BioSB 2019 for biologists about SPARQL. Biology Sparql queries, Sparql syntax Biologists Chemists
runBioSimulations tutorial and help

runBioSimulations is a web application for executing a broad range of modeling studies and visualizing their results. runBioSimulations uses BioSimulators to supports a broad range of modeling frameworks (e.g., logical, constraint-based, kinetic), simulation algorithms (e.g., CVODE, FBA, SSA),...

Scientific topics: Simulation experiment, Computational biology, Systems biology

Operations: Modelling and simulation

Keywords: biosimulators, COMBINE, OMEX, SED-ML, Modeling, dynamic simulations, SBML, BNGL

Resource type: Tutorial, Documentation

runBioSimulations tutorial and help http://tess.elixir-uk.org/materials/runbiosimulations-tutorial-and-help runBioSimulations is a web application for executing a broad range of modeling studies and visualizing their results. runBioSimulations uses BioSimulators to supports a broad range of modeling frameworks (e.g., logical, constraint-based, kinetic), simulation algorithms (e.g., CVODE, FBA, SSA), and modeling formats (e.g., BNGL, SBML). runBioSimulations also provides a REST API for programmatic access to the same simulation capabilities. The runBioSimulations tutorial and help describes how to use this web application and web service to execute simulations and visualize their results. This includes instructions on how to create COMBINE/OMEX archives of modeling projects. Ion Moraru Bilal Shaikh Gnaneswara Marupilla Simulation experiment Computational biology Systems biology biosimulators, COMBINE, OMEX, SED-ML, Modeling, dynamic simulations, SBML, BNGL modelers
BioSimulators tutorial and help

BioSimulators is a registry of containerized biosimulation tools that provide consistent command-line interfaces. The BioSimulations web application helps investigators browse this registry to find simulation tools that have the capabilities (supported modeling frameworks, simulation algorithms,...

Scientific topics: Simulation experiment, Computational biology, Systems biology

Operations: Modelling and simulation

Keywords: Modeling, biomodel, dynamic simulations, COMBINE, OMEX, SED-ML, SBML, BNGL

Resource type: Tutorial, Documentation

BioSimulators tutorial and help http://tess.elixir-uk.org/materials/biosimulators-help BioSimulators is a registry of containerized biosimulation tools that provide consistent command-line interfaces. The BioSimulations web application helps investigators browse this registry to find simulation tools that have the capabilities (supported modeling frameworks, simulation algorithms, and modeling formats) needed for specific modeling projects. The BioSimulators help describes how to use this registry: - How to find a containerized simulation tools that are capable of executing a modeling study. - How to use containerized simulation tools to execute modeling studies. - How to containerize a simulation tool and submit it to the BioSimulators registry. Ion Moraru Bilal Shaikh Simulation experiment Computational biology Systems biology Modeling, biomodel, dynamic simulations, COMBINE, OMEX, SED-ML, SBML, BNGL modelers Computational biologists software developers, bioinformaticians
Use Scholia and Wikidata to find scientific literature

Scholia is a useful tool for finding scientific literature. Based on the main topic of a publication, you can find literature similar to a publication you are looking into or literature you didn’t know about or consider. Additionally, you can take advantage of all of the annotation work of others...

Keywords: Literature

Resource type: Tutorial

Use Scholia and Wikidata to find scientific literature http://tess.elixir-uk.org/materials/use-scholia-and-wikidata-to-find-scientific-literature Scholia is a useful tool for finding scientific literature. Based on the main topic of a publication, you can find literature similar to a publication you are looking into or literature you didn’t know about or consider. Additionally, you can take advantage of all of the annotation work of others when finding literature. Proper annotation also makes scientific literature more findable. Literature Researchers
Bacterial Bioinformatics

This course provides demonstrations and exercises for performing common genomics-based analysis tasks of bacterial sequence data. It uses PATRIC, the PathoSystems Resource Integration Center, as the platform for analysis. PATRIC is the NIH/NIAID-funded bacterial Bioinformatics Resource Center,...

Keywords: life-sciences, health-informatics, research

Bacterial Bioinformatics http://tess.elixir-uk.org/materials/bacterial-bioinformatics This course provides demonstrations and exercises for performing common genomics-based analysis tasks of bacterial sequence data. It uses PATRIC, the PathoSystems Resource Integration Center, as the platform for analysis. PATRIC is the NIH/NIAID-funded bacterial Bioinformatics Resource Center, providing comprehensive bacterial genomic data with integrated analysis tools and visualizations. PATRIC also provides a private workspace where users can upload and analyze their own data. Course participants will gain skills needed to do comparative analysis of bacterial genomes, starting with raw sequence data.The lessons in the first module cover genome assembly, annotation, phylogenetic tree construction, and protein family / proteome comparisons. Each lesson builds on the previous, creating a complete baseline analysis workflow. life-sciences, health-informatics, research
Data Management and Writing a Data Management Plan

Writing a Data Management Plan A good data management plan is crucial for any scientist and researcher. In this course, you will learn how to write one. You will find out how you can prepare, handle and share your research data.

Scientific topics: Data management

Resource type: e-learning

Data Management and Writing a Data Management Plan http://tess.elixir-uk.org/materials/data-management-and-writing-a-data-management-plan Writing a Data Management Plan A good data management plan is crucial for any scientist and researcher. In this course, you will learn how to write one. You will find out how you can prepare, handle and share your research data. Geert Bonamie Data management
Scop3P

Scop3P is available as a web-interface for PTM visualisation and can be accessed at https://iomics.ugent.be/scop3p Search Scop3P with Swiss-Prot accession/ID, protein name, PDB ID, ProteomeXchange ID or by keywords

Scop3P http://tess.elixir-uk.org/materials/scop3p Scop3P is available as a web-interface for PTM visualisation and can be accessed at https://iomics.ugent.be/scop3p Search Scop3P with Swiss-Prot accession/ID, protein name, PDB ID, ProteomeXchange ID or by keywords
Plant Phenotyping Data managment (MIAPPE)

This material is first targetting plant biologist willing to describe and annotate their phenotyping experiments before publication. Database managers and software developpers will also receive an introduction of the current plant phenotyping standards (MIAPPE, BrAPI, Crop ontology). Learners...

Scientific topics: Data management, Plant biology, Phenomics

Operations: Formatting, Annotation

Keywords: Plant Phenotyping, Data-format, data sharing

Resource type: Training materials

Plant Phenotyping Data managment (MIAPPE) http://tess.elixir-uk.org/materials/plant-phenotyping-data-managment-miappe This material is first targetting plant biologist willing to describe and annotate their phenotyping experiments before publication. Database managers and software developpers will also receive an introduction of the current plant phenotyping standards (MIAPPE, BrAPI, Crop ontology). Learners will know how to use standards and ontologies, how to describe their measurment protocole and practices how to fill a template with their data and how to apply the standards concept in some data managment tools. Data management Plant biology Phenomics Plant Phenotyping, Data-format, data sharing Biologists geneticists plant researchers software engineers database managers
A Tidy Transcriptomics introduction to RNA-Seq analyses

This workshop will present how to perform analysis of RNA sequencing data following the tidy data paradigm, using the tidybulk, tidyHeatmap and tidyverse packages.

Scientific topics: RNA-Seq

Keywords: Differential Expression, Gene Expression, RNA-seq, Transcriptomics

Resource type: Tutorial

A Tidy Transcriptomics introduction to RNA-Seq analyses http://tess.elixir-uk.org/materials/a-tidy-transcriptomics-introduction-to-rna-seq-analyses This workshop will present how to perform analysis of RNA sequencing data following the tidy data paradigm, using the tidybulk, tidyHeatmap and tidyverse packages. RNA-Seq Differential Expression, Gene Expression, RNA-seq, Transcriptomics Biologists
Plant Bioinformatics Capstone

The past 15 years have been exciting ones in plant biology. Hundreds of plant genomes have been sequenced, RNA-seq has enabled transcriptome-wide expression profiling, and a proliferation of "-seq"-based methods has permitted protein-protein and protein-DNA interactions to be determined cheaply...

Keywords: physical-science-and-engineering, life-sciences, research-methods, basic-science

Plant Bioinformatics Capstone http://tess.elixir-uk.org/materials/plant-bioinformatics-capstone The past 15 years have been exciting ones in plant biology. Hundreds of plant genomes have been sequenced, RNA-seq has enabled transcriptome-wide expression profiling, and a proliferation of "-seq"-based methods has permitted protein-protein and protein-DNA interactions to be determined cheaply and in a high-throughput manner. These data sets in turn allow us to generate hypotheses at the click of a mouse or tap of a finger. In Plant Bioinformatics on Coursera.org, we covered 33 plant-specific online tools from genome browsers to transcriptomic data mining to promoter/network analyses and others, and in this Plant Bioinformatics Capstone we'll use these tools to hypothesize a biological role for a gene of unknown function, summarized in a written lab report. This course is part of a Plant Bioinformatics Specialization on Coursera, which introduces core bioinformatic competencies and resources, such as NCBI's Genbank, Blast, multiple sequence alignments, phylogenetics in Bioinformatic Methods I, followed by protein-protein interactions, structural bioinformatics and RNA-seq analysis in Bioinformatic Methods II, in addition to the plant-specific concepts and tools introduced in Plant Bioinformatics and the Plant Bioinformatics Capstone. This course/capstone was developed with funding from the University of Toronto's Faculty of Arts and Science Open Course Initiative Fund (OCIF) and was implemented by Eddi Esteban, Will Heikoop and Nicholas Provart. Asher Pasha programmed a gene ID randomizer. physical-science-and-engineering, life-sciences, research-methods, basic-science
Eurordis Open Academy

The EURORDIS Open Academy currently encompasses the Winter School on Scientific Innovation and Translational Research, the Summer School on Medicines Research and Development, the Leadership School and the Digital School

Scientific topics: Rare diseases

Keywords: Rare Diseases & Research, Rare Diseases

Resource type: course materials, e-learning

Eurordis Open Academy http://tess.elixir-uk.org/materials/eurordis-online-trainning-modules The EURORDIS Open Academy currently encompasses the Winter School on Scientific Innovation and Translational Research, the Summer School on Medicines Research and Development, the Leadership School and the Digital School Rare diseases Rare Diseases & Research, Rare Diseases Patient Advocates Life Science Researchers Biomedical researchers