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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
skos:broader Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:exactMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:narrower Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
17 Sep 2015

Add new data elements

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

Vocabulary concepts

417 concepts found, displaying 61 to 80.First12345678Last
Id Label Status Status Modified Notation
CZ_VLT_U SU Upper Vltava (CZ) Quick edit Valid 2022-11-15 CZ_VLT_U
DE Germany (until 1990 former territory of the FRG) Quick edit Valid 2016-01-04 DE
DE_ALR SU Aller (DE) Quick edit Valid 2012-02-01 DE_ALR
DE_DAN RBD Danube (DE) Quick edit Valid 2012-02-01 DE_DAN
DE_EID RBD Eider (DE) Quick edit Valid 2012-02-01 DE_EID
DE_ELB RBD Elbe (DE) Quick edit Valid 2012-02-01 DE_ELB
DE_ELB_M SU Middle Elbe/Elde (DE) Quick edit Valid 2012-02-01 DE_ELB_M
DE_ELB_T SU Tide-Elbe (DE) Quick edit Valid 2012-02-01 DE_ELB_T
DE_EMS RBD Ems (DE) Quick edit Valid 2012-02-01 DE_EMS
DE_EMS_O Upper Ems, Ems-Nordradde, Hase Quick edit Valid 2012-02-01 DE_EMS_O
DE_EMS_U SU Upper Ems, Ems/Nordradde, Hase (DE) Quick edit Valid 2022-11-15 DE_EMS_U
DE_FUL SU Fulda (DE) Quick edit Valid 2012-02-01 DE_FUL
DE_HAV SU Havel (DE) Quick edit Valid 2012-02-01 DE_HAV
DE_LED SU Leda-Jümme, lower Ems, Ems estuary (DE) Quick edit Valid 2012-02-01 DE_LED
DE_LEI SU Leine (DE) Quick edit Valid 2012-02-01 DE_LEI
DE_MAA Maas / Meuse - RBD (DE) Quick edit Valid 2012-02-01 DE_MAA
DE_MAI SU Main (DE) Quick edit Valid 2012-02-01 DE_MAI
DE_MEU RBD Meuse (DE) Quick edit Valid 2022-11-15 DE_MEU
DE_MSL_SAR SU Moselle/Saar (DE) Quick edit Valid 2012-02-01 DE_MSL_SAR
DE_MUL SU Mulde-Elbe-Schwarze Elster (DE) Quick edit Valid 2012-02-01 DE_MUL
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?