Research Data that Can be Trusted

Research Data that Can be Trusted portes grátis

Research Data that Can be Trusted

Shad, Max; Etin, Dmitry; Bouzinier, Michael; Yockel, Scott; Khoshnevis, Naeem

Springer Nature Switzerland AG

04/2026

Mole

Inglês

9783032210319

Pré-lançamento - envio 15 a 20 dias após a sua edição

Descrição não disponível.
Chapter 1. Introduction.- Part I. The Need, the Opportunity and the Solution.- Chapter 2. The Need for Complete Data Provenance.- Chapter 3. The Opportunity: Advancement of Workflow Automation.- Chapter 4. Solution: Descriptive Dataflow Operators.- Chapter 5. Language Design.- Part II. How to Implement It.- Chapter 6. Proof of Concept Implementation.- Chapter 7. Sample Application: Building ML-Ready.- Chapter 8. Dorieh Medicare Claims Data Pipeline.- Chapter 9. What is Next?.- Part III. The Architecture of Trust: Regulation, Provenance and Compliance-As-Code.- Chapter 10. Trust and Regulation as Delegated Understanding.- Chapter 11. The Burden Spiral: When Technology Exceeds Human Oversight.- Chapter 12. The Provenance Imperative.- Chapter 13. From Provenance to Computable Trust.- Part IV. Classification of Data Transformations.- Chapter 14. A Taxonomy of Data Transformations.- Appendix.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Data Provenance;Data Reproducibility;Data Governance;Clinical Data Management;Bioinformatics;CWL;Nextflow;Scientific Workflows