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)
- CSV / TSV - files
- Excel / ODS spreadsheet
- SPSS (via OpenCPU)
- SPSS (local in browser parser)
- DDI-C 2.5 variable documentation
- DDI-L 3.3 variable documentation
- Metadata
- DDI-C 2.5 XML
- DDI-L 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
No build tools required.
Nectar Publisher aims for easy development & deployment without the need for any special tools or processes.
Open any source file; edit, save see changes in the browser KISS Principle.
MIT