Document your tabular datasets and create codebooks and machine actionable metadata using DDI.
Note
Nectar Publisher is under early development and might not work correctly
- On GitHub pages: https://ddi-developers.github.io/nectar-publisher
- Localy by download and extracting this zip-file (works offline when downloaded)
- DDI-Codebook 2.5 variable documentation
- DDI-Lifecycle 3.3 variable documentation
- Metadata
- DDI-Codebook 2.5 XML
- DDI-Lifecycle 3.3 XML
- DDI-CDI JSON-LD
- Codebook
- Markdown
- Html
- Define a interface with methods for export
- Example implementation for a repository
- Responsive layout
- User interviews and requirements for efficent interface
- Layout design
- File metadata (extracted from file)
- filename
- delimiter
- mimeType
- size (bytes)
- checksum (sha256)
- Variable metadata (autodetected & input)
- Id (column header name if exist, fallback to column number)
- Column number (auto generated on file import)
- Name (set to column header if existing)
- Label
- Description
- DataType
- UnitCode
- Min/Max value
- CollectionMethod
- ResponseDomain
- Text
- Numeric
- Datetime
- Code
- value
- label
- isMissingValue
- frequency
- Node.js 24 or newer
- npm 11 or newer (included with Node.js 24)
- Colone this repository
- Install dependecies with
npm install - Build with
npm run build
- run
npm install - run
npm run dev - Open
http://localhost:5173in your browser
npm run test