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://osf.io/qrt95/
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
Tuur Muyldermans
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://osf.io/k263z/
http://tess.elixir-uk.org/materials/data-security-and-encryption
1. Data security
2. Encryption
3. Passwords
Jan Lammertyn
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://osf.io/dht3z/
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?
Griet Den Herder
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://osf.io/whj7t/
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
Alexander Botzki
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://osf.io/syx4m/
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
Alexander Botzki
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://osf.io/fpvgy/
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
https://osf.io/wbr7t/
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
Flora D'Anna
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://osf.io/c2g9k/
http://tess.elixir-uk.org/materials/data-management-plans
dmponline.be - creating data management plans
why, what to cover, examples and self-assessment grids
Laura Standaert
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://osf.io/5xhya/
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
Hanne Elsen
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://osf.io/xhp2e/
http://tess.elixir-uk.org/materials/research-data-management-trends-and-requirements
Paula Oset - Research funders and journal policies
Paula Oset
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://osf.io/mvrny/
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)
Thomas Van de Velde
research data, data management
life scientists