Register training material
49 materials found

Scientific topics: Data management 


Elaboración de un Plan de Gestión de Datos (DMP): teoria y práctica

PDF with slides of the course in Spanish - Data management definitions - DMP Objectives - DMP Content and structure - Competencies needed - Practical session: DMP content analysis and evaluation

Scientific topics: FAIR data, Data management

Keywords: ELIXIR-CONVERGE, DMP, DMP tools, DMP templates, DMP evaluation, Data managment plan, research data management, FAIR principles, tools, template, competency, evaluation, online, e-learning, Spanish

Resource type: PDF, e-learning, slideck/ presentation

Elaboración de un Plan de Gestión de Datos (DMP): teoria y práctica https://tess.elixir-europe.org/materials/elaboracion-de-un-plan-de-gestion-de-datos-dmp-teoria-y-practica PDF with slides of the course in Spanish - Data management definitions - DMP Objectives - DMP Content and structure - Competencies needed - Practical session: DMP content analysis and evaluation FAIR data Data management ELIXIR-CONVERGE, DMP, DMP tools, DMP templates, DMP evaluation, Data managment plan, research data management, FAIR principles, tools, template, competency, evaluation, online, e-learning, Spanish operational manager IT support data manager project manager policy officer
FAIR data - Module 2

La vie des données pendant le projet : Principe et outils pour organiser, nommer, versionner, stocker, archiver, mes données

Scientific topics: Bioinformatics, Biology, Data management

Operations: Data handling

Resource type: Slides

FAIR data - Module 2 https://tess.elixir-europe.org/materials/fair-data-module-2 La vie des données pendant le projet : Principe et outils pour organiser, nommer, versionner, stocker, archiver, mes données Bioinformatics Biology Data management Biologists bioinformaticians Biomedical researchers
Research Data Management and Sharing MOOC

This course will provide learners with an introduction to research data management and sharing. After completing this course, learners will understand the diversity of data and their management needs across the research data lifecycle, be able to identify the components of good data management...

Scientific topics: Data management

Keywords: Data Life Cycle, Data managment plan

Resource type: online modules

Research Data Management and Sharing MOOC https://tess.elixir-europe.org/materials/research-data-management-and-sharing-mooc This course will provide learners with an introduction to research data management and sharing. After completing this course, learners will understand the diversity of data and their management needs across the research data lifecycle, be able to identify the components of good data management plans, and be familiar with best practices for working with data including the organization, documentation, and storage and security of data. Learners will also understand the impetus and importance of archiving and sharing data as well as how to assess the trustworthiness of repositories. Data management Data Life Cycle, Data managment plan Life Science Researchers Researchers
Introduction to research data management, data management planning and services provided by CSC – IT Center for Science

Four short training videos that introduce research data management and data management planning and how to get started with a DMP. In the last part we introduce CSC and ELIXIR services available for an example research group at different stages of their project.

Scientific topics: FAIR data, Data management

Keywords: DMP, RDM, plan, research data management, data management, data management plan, ELIXIR-CONVERGE

Resource type: Series of videos, Video, youtube video

Introduction to research data management, data management planning and services provided by CSC – IT Center for Science https://tess.elixir-europe.org/materials/introduction-to-research-data-management-data-management-planning-and-services-provided-by-csc-it-center-for-science Four short training videos that introduce research data management and data management planning and how to get started with a DMP. In the last part we introduce CSC and ELIXIR services available for an example research group at different stages of their project. Maria Lehtivaara FAIR data Data management DMP, RDM, plan, research data management, data management, data management plan, ELIXIR-CONVERGE Researchers Life Science Researchers Undergraduate students Master students PhD candidates postdoctoral researchers Senior Researchers, Lab Managers, Postdocs and PhD Students with basic knowledge of DMPs. Participants in the "Introduction to Data Management Plans" workshop.
Slides DMP writing workshop for Researchers in Bergen online 21.04. - 22.04.2021

Slides DMP writing workshop for Researchers in Bergen online 21.04. - 22.04.2021

Scientific topics: Data management

Operations: Deposition, Data handling, Data retrieval

Keywords: Data management plan, data management

Resource type: Slides

Slides DMP writing workshop for Researchers in Bergen online 21.04. - 22.04.2021 https://tess.elixir-europe.org/materials/slides-dmp-writing-workshop-for-researchers-in-bergen-online-21-04-22-04-2021 Slides DMP writing workshop for Researchers in Bergen online 21.04. - 22.04.2021 Data management Data management plan, data management All postgraduates
Slides from DMP writing workshop, for Researchers in Aas, online 09.03.- 10.03.2021

Slides from DMP writing workshop, for Researchers in Aas, online 09.03.- 10.03.2021

Scientific topics: Data management

Operations: Data retrieval, Data handling, Deposition

Keywords: Data management plan, data management

Resource type: Slides

Slides from DMP writing workshop, for Researchers in Aas, online 09.03.- 10.03.2021 https://tess.elixir-europe.org/materials/slides-from-dmp-writing-workshop-for-researchers-in-aas-online-09-03-10-03-2021 Slides from DMP writing workshop, for Researchers in Aas, online 09.03.- 10.03.2021 Data management Data management plan, data management All postgraduates
Practicalities of data handling

Slides for the "Practicalities of data handling" session of the "Research Data Management and Stewardship Training" held regularly by ELIXIR-Luxembourg.

Scientific topics: Data management, Data acquisition, Data security

Operations: Data handling

Keywords: data encryption, data protection, setup, checksums

Resource type: Presentation

Practicalities of data handling https://tess.elixir-europe.org/materials/practicalities-of-data-handling Slides for the "Practicalities of data handling" session of the "Research Data Management and Stewardship Training" held regularly by ELIXIR-Luxembourg. Pinar Alper Roland Krause Nene Barry Data management Data acquisition Data security data encryption, data protection, setup, checksums Researchers PhD Master students
Data Management Planning workshop for new Life Science Projects

Slides from Data Management Planning online workshop for Life Science Projects for researchers

Scientific topics: Data management

Operations: Deposition, Data handling, Data retrieval

Keywords: Data management plan, DMP

Resource type: Slides

Data Management Planning workshop for new Life Science Projects https://tess.elixir-europe.org/materials/data-management-planning-workshop-for-new-life-science-projects Slides from Data Management Planning online workshop for Life Science Projects for researchers Nazeefa Fatima Espen Åberg Eivind Coward Federico Bianchini Data management Data management plan, DMP All postgraduates
Making cohort data FAIR

CINECA webinar about how to make data from cohort studies FAIR

Scientific topics: Data management, Data integration and warehousing

Keywords: FAIR data, Cohort data, Ontologies, Standards

Resource type: Video

Making cohort data FAIR https://tess.elixir-europe.org/materials/making-cohort-data-fair CINECA webinar about how to make data from cohort studies FAIR Data management Data integration and warehousing FAIR data, Cohort data, Ontologies, Standards
Introduction to FAIR principles - Open science through FAIR health data networks: dream or reality?

CINECA webinar about the basics of FAIR health data.

Scientific topics: Data management

Keywords: FAIR data, Health data, Open science

Resource type: Video

Introduction to FAIR principles - Open science through FAIR health data networks: dream or reality? https://tess.elixir-europe.org/materials/introduction-to-fair-principles-open-science-through-fair-health-data-networks-dream-or-reality CINECA webinar about the basics of FAIR health data. Data management FAIR data, Health data, Open science
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 https://tess.elixir-europe.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 https://tess.elixir-europe.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
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

Resource type: Presentation

Reproducible data analysis with RStudio, github and Rmarkdown https://tess.elixir-europe.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 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 https://tess.elixir-europe.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 https://tess.elixir-europe.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 https://tess.elixir-europe.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 https://tess.elixir-europe.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 https://tess.elixir-europe.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 https://tess.elixir-europe.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
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 https://tess.elixir-europe.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 https://tess.elixir-europe.org/materials/research-data-management-trends-and-requirements Paula Oset - Research funders and journal policies Data management journal policies, research funding 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 https://tess.elixir-europe.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
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 https://tess.elixir-europe.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
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 https://tess.elixir-europe.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
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) https://tess.elixir-europe.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
ObjTables Python tutorials

ObjTables is a toolkit for creating re-usable datasets that are both human and machine-readable, combining the ease of spreadsheets (e.g., Excel workbooks) with the rigor of schemas (classes, their attributes, the type of each attribute, and the possible relationships between instances of...

Scientific topics: Data submission, annotation, and curation, Data quality management, Data integration and warehousing, Data management

Operations: Validation

Keywords: spreadsheet, schema, table, workbook, worksheet, XLSX, Excel, standard, reuse, compose, integrate, quality control

Resource type: Jupyter notebook

ObjTables Python tutorials https://tess.elixir-europe.org/materials/objtables-python-tutorials ObjTables is a toolkit for creating re-usable datasets that are both human and machine-readable, combining the ease of spreadsheets (e.g., Excel workbooks) with the rigor of schemas (classes, their attributes, the type of each attribute, and the possible relationships between instances of classes). ObjTables consists of a format for describing schemas for spreadsheets, numerous data types for science, a markup format for indicating the class and attribute represented by each table and column in a workbook, and software for using schemas to rigorously validate, merge, split, compare, and revision datasets. ObjTables is ideal for supplementary materials of journal article, as well as for emerging domains which need to quickly build new formats for new types of data and associated software with minimal effort. The tutorials provide a brief introduction to the ObjTables format for schemas for spreadsheets, the ObjTables markup syntax for spreadsheets, and the ObjTables Python package for parsing, validating, querying, editing, comparing, merging, splitting, revisioning, migrating, and analyzing spreadsheets. Data submission, annotation, and curation Data quality management Data integration and warehousing Data management spreadsheet, schema, table, workbook, worksheet, XLSX, Excel, standard, reuse, compose, integrate, quality control Researchers Scientists Data scientists computational scientists
Annotating data using ontologies

This video highlights examples of tools and ontologies which can be used for annotating health data, and how ontologies help to support data ecosystems.

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

Keywords: Ontologies, Annotation, Data integration

Resource type: Video

Annotating data using ontologies https://tess.elixir-europe.org/materials/annotating-data-using-ontologies This video highlights examples of tools and ontologies which can be used for annotating health data, and how ontologies help to support data ecosystems. Ontology and terminology Data integration and warehousing Data management Ontologies, Annotation, Data integration
Solutions for overcoming cohort data integration challenges using ontology: an introduction

Ontologies are collections of well-defined, hierarchical, controlled vocabulary, linked by logical relationships. This video introduces the concept and benefits of implementing ontologies for solving data integration issues when data is generated by different research groups.

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

Keywords: Ontologies, Data integration, Annotation

Resource type: Video

Solutions for overcoming cohort data integration challenges using ontology: an introduction https://tess.elixir-europe.org/materials/solutions-for-overcoming-cohort-data-integration-challenges-using-ontology-an-introduction Ontologies are collections of well-defined, hierarchical, controlled vocabulary, linked by logical relationships. This video introduces the concept and benefits of implementing ontologies for solving data integration issues when data is generated by different research groups. Data management Data integration and warehousing Ontology and terminology Ontologies, Data integration, Annotation
Data harmonization and enrichment using EMBL-EBI ontology tools

This video explains how the Zooma annotation tool, the OxO mapping service and the Ontology Lookup Service (OLS) can be used to harmonise and enrich biological and biomedical data. The EMBL-EBI Ontology Tools can be used by both biological curators and software developers. Biological curators...

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

Keywords: CINECA, data harmonization, Annotation, Ontologies

Resource type: Video

Data harmonization and enrichment using EMBL-EBI ontology tools https://tess.elixir-europe.org/materials/data-harmonization-and-enrichment-using-embl-ebi-ontology-tools This video explains how the Zooma annotation tool, the OxO mapping service and the Ontology Lookup Service (OLS) can be used to harmonise and enrich biological and biomedical data. The EMBL-EBI Ontology Tools can be used by both biological curators and software developers. Biological curators access the tools through their respective websites. REST APIs are available for software developers who want to build systems based on these services. Ontology and terminology Data submission, annotation, and curation Data management CINECA, data harmonization, Annotation, Ontologies biocurators software developers, bioinformaticians
Slides from Data Management Planning Workshop

Slides from Data Management Planning workshop for Life Science Projects in Ås 11 March 2020

Scientific topics: Data management

Operations: Deposition, Data retrieval, Data handling

Keywords: Data management plan, data management

Resource type: Slides

Slides from Data Management Planning Workshop https://tess.elixir-europe.org/materials/slides-from-data-management-planning-workshop-1bb3798d-4e70-423c-87b6-82ac7e5e5c54 Slides from Data Management Planning workshop for Life Science Projects in Ås 11 March 2020 Data management Data management plan, data management PhD students Post Docs Professors