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Open Data
1. Foundations of Open Data
2. Open Data Licenses and Standards
3. Sources and Types of Open Data
4. Technical Aspects of Working with Open Data
5. Applications and Impact of Open Data
6. Implementing an Open Data Initiative
7. Challenges, Risks, and Governance
8. Future of Open Data
Technical Aspects of Working with Open Data
Data Formats
Tabular Formats
CSV (Comma-Separated Values)
TSV (Tab-Separated Values)
Excel Formats
Hierarchical and Semi-Structured Formats
JSON (JavaScript Object Notation)
XML (eXtensible Markup Language)
YAML
Geospatial Formats
Shapefile
GeoJSON
KML (Keyhole Markup Language)
GML (Geography Markup Language)
Linked Data Formats
RDF (Resource Description Framework)
Turtle
Methods of Access
Direct File Downloads
Downloading from Data Portals
Versioning and Updates
Application Programming Interfaces
RESTful APIs
GraphQL
SOAP APIs
API Authentication and Rate Limits
Data Dumps and Bulk Access
Scheduled Data Releases
Archive Files
Query Endpoints
SPARQL for Linked Data
SQL Query Interfaces
Tools for Data Handling
Data Discovery and Portals
Search and Catalog Tools
Metadata Browsers
Data Cleaning and Wrangling Tools
OpenRefine
Trifacta
Spreadsheet Software
Data Analysis and Visualization Libraries
Python Libraries
R Libraries
Visualization Platforms
Data Storage Solutions
Relational Databases
NoSQL Databases
Cloud Storage Services
Data Quality and Metadata
Assessing Data Quality
Accuracy
Completeness
Timeliness
Consistency
Validity
Uniqueness
Importance of Metadata
Descriptive Metadata
Structural Metadata
Administrative Metadata
Provenance and Lineage
Data Dictionaries and Codebooks
Variable Definitions
Value Labels
Data Collection Methods
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3. Sources and Types of Open Data
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5. Applications and Impact of Open Data