Data Stewards¶
Data Steward is an umbrella term for numerous support roles that involve the creation, management and usage of research data. These can be very hands-on roles involving daily data analysis or roles that are more policy and advising-focused. Data Stewards are an important part of scientific communities, supporting recommended data management practices and saving researchers time by supporting them in these efforts. Data Stewards tend to have scientific backgrounds and can have the technical skills needed to analyse and manage both data and software (see also the resources curated for Research Software Engineers). This curated set of chapters will point. Data Stewards to topics and practices important for working with data and communicating with researchers.
- Overview of Reproducible Research
- Research Data Management
- Open Research
- Version Control
- Licensing
- Research Data Management
- Research Data
- Finding Data
- Data Management Plan
- The FAIR Principles
- Personal data management
- Data Storage and Organisation
- Data Organisation in Spreadsheets
- Documentation and Metadata
- Methods and Protocols
- Electronic Lab Notebooks
- Data Curation
- Data Visualisation
- Data Repositories
- Sharing and Archiving Data
- Sharing your data through a Data Article
- Checklist
- Personal Impact Stories
- Resources
- Reproducible Environments
- Research Compendia
- Guide for Project Design
- Overview of Project Design
- Creating Project Repositories
- Naming files, folders and other things
- Sensitive Data Projects
- Managing Sensitive Data Projects
- Working on Sensitive Data Projects
- Data Governance
- Missing Data Handling
- Risks of Bias in Research
- Guide for Communication
- Overview of the Guide for Communication
- Open Scholarship
- Blogs for Research Communication
- Presenting Posters and Conference Talks
- Research Object to capture the Research Life Cycle
- Making Research Objects Citable
- Publishing Different Article Types
- Guide for Collaboration
- Facilitating Stakeholder Engagement
- Open Leadership in Data Science
- Research Infrastructure Roles: Introduction
- Guide for Ethical Research
- Accessibility