Training materials
Scientific topics: Data quality
and Difficulty level: Intermediate
and Operations: Utility operation
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Scientific topic
- Data quality
- Biomedical informatics2
- Clinical informatics2
- Cloud computing2
- Computer science2
- Data management2
- FAIR data2
- Findable, accessible, interoperable, reusable data2
- HPC2
- Health and disease2
- Health informatics2
- Healthcare informatics2
- High performance computing2
- High-performance computing2
- Medical informatics2
- Metadata management2
- Bayesian methods1
- Biostatistics1
- Bottom-up proteomics1
- Data clean-up1
- Data cleaning1
- Data curation1
- Data governance1
- Data identity and mapping1
- Data integrity1
- Data provenance1
- Data quality management1
- Data stewardship1
- Data submission, annotation, and curation1
- Database curation1
- Descriptive statistics1
- Discovery proteomics1
- Gaussian processes1
- Inferential statistics1
- MS-based targeted proteomics1
- MS-based untargeted proteomics1
- Markov processes1
- Metaproteomics1
- MicroRNA sequencing1
- Multivariate statistics1
- Omics1
- Peptide identification1
- Pipelines1
- Probabilistic graphical model1
- Probability1
- Protein and peptide identification1
- Proteomics1
- Quantitative proteomics1
- RNA sequencing1
- RNA-Seq1
- RNA-Seq analysis1
- Small RNA sequencing1
- Small RNA-Seq1
- Small-Seq1
- Software integration1
- Statistics1
- Statistics and probability1
- Targeted proteomics1
- Tool integration1
- Tool interoperability1
- Top-down proteomics1
- Transcriptome profiling1
- WTSS1
- Whole transcriptome shotgun sequencing1
- Workflows1
- miRNA-seq1
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Standard database or policy
- FAIRtracks1
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Difficulty level
- Intermediate
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- EIP members1
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