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Curriculum
- 8 Sections
- 65 Lessons
- Lifetime
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- Welcome!2
- Module 1 – Concepts and Best Practices28
- 2.1Introduction
- 2.2Structured datasets
- 2.3[Quiz] Structured datasets3 Questions
- 2.4Open data definiton
- 2.5[Quiz] Open data definition1 Question
- 2.6Five stars of open data
- 2.7[Quiz] Five stars of open data1 Question
- 2.8Tabular data
- 2.9[Quiz] Tabular data1 Question
- 2.10Tabular data formats
- 2.11[Quiz] Tabular data formats1 Question
- 2.12The burden of data in PDFs
- 2.13[Quiz] The burden of data in PDFs1 Question
- 2.14The anatomy of a CSV
- 2.15[Quiz] The anatomy of a CSV1 Question
- 2.16Data types (1/2)
- 2.17Data types (2/2)
- 2.18[Quiz] Data types1 Question
- 2.19Character encoding
- 2.20[Quiz] Character encoding1 Question
- 2.21Data documentation
- 2.22[Quiz] Data documentation1 Question
- 2.23Metadata matters (1/2)
- 2.24Metadata matters (2/2)
- 2.25[Quiz] Metadata matters1 Question
- 2.26Data governance (1/2)
- 2.27Data governance (2/2)
- 2.28[Quiz] Data governance1 Question
- Module 2 – Ensuring Data Quality15
- 3.1Introduction
- 3.2Data quality overview
- 3.3[Quiz] Data quality overview1 Question
- 3.4Completeness and missing data
- 3.5[Quiz] Completeness and missing data1 Question
- 3.6Validity and consistency
- 3.7[Quiz] Validity and consistency1 Question
- 3.8Data validation techniques
- 3.9[Quiz] Data validation techniques4 Questions
- 3.10Uniqueness and duplicated values
- 3.11[Quiz] Uniqueness and duplicated values3 Questions
- 3.12Version control
- 3.13[Quiz] Version control1 Question
- 3.14Five data quality issues – and how to fix them
- 3.15[Quiz] Five data quality issues – and how to fix them3 Questions
- Module 3 – Tidying Your Data12
- 4.1Introduction
- 4.2Tidy data standards
- 4.3[Quiz] Tidy data standards1 Question
- 4.4Tidying tables
- 4.5[Quiz] Tidying tables1 Question
- 4.6Tidying headers
- 4.7[Quiz] Tidying headers1 Question
- 4.8Tidying columns
- 4.9[Quiz] Tidying columns3 Questions
- 4.10Data cleaning tools (1/2)
- 4.11Data cleaning tools (2/2)
- 4.12[Quiz] Data cleaning tools3 Questions
- Module 4 – Applying FAIR Data Principles14
- 5.1Introduction
- 5.2FAIR data principles
- 5.3[Quiz] FAIR data principles1 Question
- 5.4Creating an identifier
- 5.5[Quiz] Creating an identifier1 Question
- 5.6Describing rich metadata (1/2)
- 5.7Describing rich metadata (2/2)
- 5.8[Quiz] Describing rich metadata1 Question
- 5.9Indexing your data
- 5.10[Quiz] Indexing your data1 Question
- 5.11Proprietary and open data formats
- 5.12[Quiz] Proprietary and open data formats1 Question
- 5.13FAIR data frameworks and tools
- 5.14[Quiz] FAIR data frameworks and tools1 Question
- Module 5 – Open Data Editor Basics9
- Module 6 – Open Data Editor Features27
- 7.1Introduction
- 7.2Describing the data resource
- 7.3[Quiz] Describing the data resource1 Question
- 7.4Ensuring data integrity with hash codes
- 7.5[Quiz] Ensuring data integrity with hash codes1 Question
- 7.6Choosing a license
- 7.7[Quiz] Choosing a license1 Question
- 7.8Listing authors and sources
- 7.9[Quiz] Listing authors and sources1 Question
- 7.10The dialect for CSV files
- 7.11[Quiz] The dialect for CSV files1 Question
- 7.12Understanding primary and foreign keys
- 7.13[Quiz] Understanding primary and foreign keys1 Question
- 7.14Describing fields
- 7.15[Quiz] Describing fields1 Question
- 7.16Working with data types
- 7.17[Quiz] Working with data types4 Questions
- 7.18Documenting missing values
- 7.19[Quiz] Documenting missing values1 Question
- 7.20Generating automatic error reports
- 7.21[Quiz] Generating automatic error reports1 Question
- 7.22Understanding documentation-based error reports
- 7.23[Quiz] Understanding documentation-based error reports1 Question
- 7.24Hands-on (1/4)
- 7.25Hands-on (2/4)
- 7.26Hands-on (3/4)
- 7.27Hands-on (4/4)
- Module 7 – Sharing and Contributing3
Welcome to the course
In this lesson, you will know the Open Knowledge Network and the development context of the Open Data Editor (ODE).
Course overview
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