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Eionet
Data Dictionary
Edit vocabulary

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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  • Step 5
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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  • Step 5
29 Aug 2023
parent Quantitative
Released
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  • Step 5
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 141 to 160.First4567891011Last
Id Label Status Status Modified Notation
LCH-carrot Carrot Quick edit Valid 2023-11-29 LCH-carrot
LCH-cashew-nuts Cashew Nuts Quick edit Valid 2023-11-29 LCH-cashew-nuts
LCH-castanea Castanea Quick edit Valid 2023-11-29 LCH-castanea
LCH-cattle Cattle Quick edit Valid 2023-11-29 LCH-cattle
LCH-cauliflower Cauliflower Quick edit Valid 2023-11-29 LCH-cauliflower
LCH-cedrus Cedrus Quick edit Valid 2023-11-29 LCH-cedrus
LCH-celery-root Celery Root Quick edit Valid 2023-11-29 LCH-celery-root
LCH-ceramic Ceramic, Clay Tiles, Bricks Quick edit Valid 2023-11-29 LCH-ceramic
LCH-cereals Cereals Quick edit Valid 2023-11-29 LCH-cereals
LCH-chamaephyte Chamaephyte Quick edit Valid 2023-11-29 LCH-chamaephyte
LCH-chemical-pest-control Chemical Pest Control Quick edit Valid 2023-11-29 LCH-chemical-pest-control
LCH-chemical-toxic-pollution Chemical, Toxic Pollution Quick edit Valid 2023-11-29 LCH-chemical-toxic-pollution
LCH-chemical-weed-control Chemical Weed Control Quick edit Valid 2023-11-29 LCH-chemical-weed-control
LCH-chestnuts Chestnuts Quick edit Valid 2023-11-29 LCH-chestnuts
LCH-chickpeas Chickpeas Quick edit Valid 2023-11-29 LCH-chickpeas
LCH-chili-pepper Chili Pepper Quick edit Valid 2023-11-29 LCH-chili-pepper
LCH-christmas-trees Christmas Trees Quick edit Valid 2023-11-29 LCH-christmas-trees
LCH-cinnamon-tree Cinnamon Tree Quick edit Valid 2023-11-29 LCH-cinnamon-tree
LCH-citrus-fruits Citrus Fruits Quick edit Valid 2023-11-29 LCH-citrus-fruits
LCH-city-street-blocks-closed-front City Street Blocks, Closed Front Quick edit Valid 2023-11-29 LCH-city-street-blocks-closed-front
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?