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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 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 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 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
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 https://tess.elixir-europe.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 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
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 https://tess.elixir-europe.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