A list of useful resources, for beginners and experts especially those in the field of bioinformatics, to learn/revise knowledge about data stewardship.
Contribute by submitting pull requests, or posting suggestions as issues. Thank you.
- Videos 🎥
- GuideLines 🕸
- FAIR Principles 🍀
- Presentation Slides 🖥
- presented by Nazeefa 🐼
- Computational Tools 🛠
- Ten simple rules for getting and giving credit for data
- Taking a fresh look at FAIR for research software
- FAIRness Literacy: The Achilles’ Heel of Applying FAIR Principles
- The FAIR Guiding Principles for scientific data management and stewardship
- Foundational Practices of Research Data Management
- Open Data Practices among Users of Primary Biodiversity Data
- 💻 🐼 Data Steward Career Survey, ELIXIR Europe
- 💻 🐼 ELIXIR's RDM Knowledge Source (RDMkit)
- 5 rules for good data management in the life sciences
- FAIRly big: A framework for computationally reproducible processing of large-scale data
- Using “Big Data” in the Cost-Effectiveness Analysis of Next-Generation Sequencing Technologies: Challenges and Potential Solutions - covers data collection and management challenges
- Experimenting with reproducibility: a case study of robustness in bioinformatics
- Comparability and reproducibility of biomedical data
- The role of metadata in reproducible computational research - PDF File
- Harmonizing semantic annotations for computational models in biology
- Purpose definition as a crucial step for determining the legal basis under the GDPR: implications for scientific research
- Road to FAIR genomes: a gap Analyse of NGS data generation and sharing in the Netherlands
- Implementing FAIR data management within the German Network for Bioinformatics Infrastructure
- Mapping single-cell data to reference atlases by transfer learning
- Reproducibility standards for machine learning in the life sciences
- Moving towards reproducible machine learning
- Community curation of bioinformatics software and data resources
- A graduate student perspective on overcoming barriers to interacting with open-source software
- What senior academics can do to support reproducible and open research: a short, three-step guide
- FAIR Cookbook
- Top 10 FAIR Data & Software Things
- 🎥 Developing an ELIXIR Software Management plan for use in Life Science Project
- A Python library for probabilistic analysis of single-cell omics data
- BAMboozle removes genetic variation from human sequence data for open data sharing
- Tools to measure FAIRness
- liftr - tool to containerize R Markdown documents
- METAGENOTE: a simplified web platform for metadata annotation of genomic samples and streamlined submission to NCBI’s sequence read archive
- EMBL-EBI Ontology Xref Service (OxO)
- BioAnnotate
- 🖥 RO-Crate (FAIR Computational Workflows)
- MDEmic: a metadata annotation tool to facilitate management of FAIR image data in the bioimaging community
- The FAANG Data Portal: Global, Open-Access, "FAIR", and Richly Validated Genotype to Phenotype Data for High-Quality Functional Annotation of Animal Genomes.