Edit vocabulary

Folder Mandatory
Identifier Mandatory
Label Mandatory
Base URI Optional
Registration status Mandatory
Type Mandatory Common
Numeric concept identifiers Mandatory
Optional
Definition Optional
Version Optional
Source Optional
License Optional
 

Bound elements for concepts

Element Type Status
child Quantitative
Released
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16 Jun 2021
code Quantitative
Released
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16 Jun 2021
Data_Format Quantitative
Released
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10 Feb 2012
data_unit Fixed values
Released
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30 Aug 2023
isHeader Fixed values
Released
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25 May 2021
isParameter Fixed values
Released
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  • Step 5
25 May 2021
LC_LU_Relevance Fixed values
Released
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29 Aug 2023
parent Quantitative
Released
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16 Jun 2021
Thematic_Domain_Context Fixed values
Released
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29 Aug 2023

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

979 concepts found, displaying 281 to 300.First1112131415161718Last
Id Label Status Status Modified Notation
LCH-flood Flood Quick edit Valid 2023-11-29 LCH-flood
LCH-flowers-and-ornamental-plants Flowers and Ornamental Plants Quick edit Valid 2023-11-29 LCH-flowers-and-ornamental-plants
LCH-fodder-beet Fodder Beet Quick edit Valid 2023-11-29 LCH-fodder-beet
LCH-fodder-crop Fodder Crop Quick edit Valid 2023-11-29 LCH-fodder-crop
LCH-foliage-persistence Foliage Persistence Quick edit Valid 2023-11-29 LCH-foliage-persistence
LCH-forest-age-stage Forest Age Stage Quick edit Valid 2023-11-29 LCH-forest-age-stage
LCH-forest-age-structure Forest Age Structure Quick edit Valid 2023-11-29 LCH-forest-age-structure
LCH-forest-cleaning-weeding Forest Cleaning, Weeding Quick edit Valid 2023-11-29 LCH-forest-cleaning-weeding
LCH-forest-composition Forest Composition Quick edit Valid 2023-11-29 LCH-forest-composition
LCH-forest-drainage Forest Drainage Quick edit Valid 2023-11-29 LCH-forest-drainage
LCH-forest-fire-wildfire Forest Fire, Wildfire Quick edit Valid 2023-11-29 LCH-forest-fire-wildfire
LCH-forest-firebreak Forest Firebreak Quick edit Valid 2023-11-29 LCH-forest-firebreak
LCH-forest-history-type Forest History Type Quick edit Valid 2023-11-29 LCH-forest-history-type
LCH-forest-irrigation Forest Irrigation Quick edit Valid 2023-11-29 LCH-forest-irrigation
LCH-forest-land-management Forest Land Management Quick edit Valid 2023-11-29 LCH-forest-land-management
LCH-forest-liming Forest Liming Quick edit Valid 2023-11-29 LCH-forest-liming
LCH-forest-product-type Forest Product Type Quick edit Valid 2023-11-29 LCH-forest-product-type
LCH-forest-pruning Forest Pruning Quick edit Valid 2023-11-29 LCH-forest-pruning
LCH-forest-rejuvenation Forest Rejuvenation Quick edit Valid 2023-11-29 LCH-forest-rejuvenation
LCH-forest-thinning Forest Thinning Quick edit Valid 2023-11-29 LCH-forest-thinning
CSV Import

The CSV file should contain a header row for element names and data rows for concepts.
It is strongly recommended to use an exported CSV file as a template for bulk editing. Columns and rows can be added to or deleted from the template file.
A concept can be ignored by prepending a double-slash '//' to the concept row in the CSV
    Notes:
  • If the header row contains unknown elements the import will aborted and data will be rolled back
  • Erroneous concept rows are ignored, valid data rows are still imported
  • Successful import cannot be undone (unless "undo checkout" is performed)
  • If a concept with the same identifier already exists in the vocabulary it will be overwritten
  • "Purge Vocabulary" option deletes all the vocabulary concepts before import
Note
  • With this operation, contents of RDF file will be imported into vocabulary folder.
  • Only a working copy can be updated with a RDF file upload.
  • If user select "Purge Per Predicate" option. All seen predicates will be removed from vocabulary.
  • If user select "Purge All Vocabulary Data" option. All data will be removed from vocabulary.
  • Once import is successful, operation cannot be undone. If an error occurs during import, then all data will be rolled back.
In this case, existing vocabulary information will be updated with information from imported concepts.
In this case, predicates of existing concepts will be replaced with the imported predicates.
In this case, all existing concepts will be removed and the imported concepts will be added.
In this case, all imported concepts will be removed from the vocabulary.
How to handle missing concepts?