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 4
  • 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 61 to 80.First12345678Last
Id Label Status Status Modified Notation
LCH-administrative-regulations-use-constraints Administrative Regulations, Use Constraints Quick edit Valid 2023-11-29 LCH-administrative-regulations-use-constraints
LCH-aerophyte Aerophyte Quick edit Valid 2023-11-29 LCH-aerophyte
LCH-aesculus Aesculus Quick edit Valid 2023-11-29 LCH-aesculus
LCH-afforestation Afforestation Quick edit Valid 2023-11-29 LCH-afforestation
LCH-agricultural-cultivation-form Agricultural Cultivation Form Quick edit Valid 2023-11-29 LCH-agricultural-cultivation-form
LCH-agricultural-land-management Agricultural Land Management Quick edit Valid 2023-11-29 LCH-agricultural-land-management
LCH-agroforestry Agroforestry Quick edit Valid 2023-11-29 LCH-agroforestry
LCH-algae-crops Algae Crops Quick edit Valid 2023-11-29 LCH-algae-crops
LCH-alimentary-crop Alimentary Crop Quick edit Valid 2023-11-29 LCH-alimentary-crop
LCH-all-aged-stands All-Aged Stands, Old-Growth Forest Quick edit Valid 2023-11-29 LCH-all-aged-stands
LCH-all-year-round-grazing All Year-round Grazing Quick edit Valid 2023-11-29 LCH-all-year-round-grazing
LCH-allergens Allergens Quick edit Valid 2023-11-29 LCH-allergens
LCH-almond Almond Quick edit Valid 2023-11-29 LCH-almond
LCH-almost-standing-water Almost Standing Water Quick edit Valid 2023-11-29 LCH-almost-standing-water
LCH-alnus Alnus Quick edit Valid 2023-11-29 LCH-alnus
LCH-alpine-zone Alpine Zone Quick edit Valid 2023-11-29 LCH-alpine-zone
LCH-aluminium Aluminium Quick edit Valid 2023-11-29 LCH-aluminium
LCH-ananas Ananas Quick edit Valid 2023-11-29 LCH-ananas
LCH-animal-browsing-overgrazing Animal Browsing, Overgrazing Quick edit Valid 2023-11-29 LCH-animal-browsing-overgrazing
LCH-animal-manure Animal Manure Quick edit Valid 2023-11-29 LCH-animal-manure
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?