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
dct:isReplacedBy Quantitative
Released
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  • Step 4
  • Step 5
08 Oct 2013
dct:replaces Quantitative
Released
  • Step 1
  • Step 2
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  • Step 4
  • Step 5
08 Oct 2013
isApplicableToBQE Vocabulary
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
15 May 2017
isApplicableToCountry Vocabulary
Released
  • Step 1
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  • Step 3
  • Step 4
  • Step 5
07 Oct 2021
isApplicableToWaterBodyCategory Vocabulary
Released
  • Step 1
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  • Step 3
  • Step 4
  • Step 5
07 Oct 2021

Add new data elements

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

Vocabulary concepts

314 concepts found, displaying 81 to 100.First12345678Last
Id Label Status Status Modified Notation
FI-RW-G-IT Fish in rivers, general degradation, Italy Quick edit Valid 2024-12-05 FI-RW-G-IT
FI-RW-H-BG Fish in rivers, hydromorphology, Bulgaria Quick edit Valid 2024-12-05 FI-RW-H-BG
FI-RW-H-IT Fish in rivers, hydromorphology, Bulgaria Quick edit Valid 2024-12-05 FI-RW-H-IT
FI-RW-PL Fish in rivers, general degradation, Poland Quick edit Valid 2024-12-05 FI-RW-PL
FIA Fish Index Austria Quick edit Valid 2020-01-07 FIA
FIBS Fischbasiertes Bewertungssystem für Fließgewässer zur Umsetzung der EG-Wasserrahmenrichtlinie in Deutschland Quick edit Valid 2020-01-07 FIBS
FIL2 FIL2 Quick edit Valid 2020-01-07 FIL2
FIS Fish Index of Slovakia Quick edit Valid 2020-01-07 FIS
FITOHMIB Humedales Multimétrico de las Islas Baleares Quick edit Valid 2020-01-07 FITOHMIB
F_IBIP F_IBIP Quick edit Valid 2020-01-07 F_IBIP
FiFi_L2 Finnish Fish Index – type L2 Quick edit Valid 2020-01-07 FiFi_L2
FiFi_L3 Finnish Fish Index – type L3 Quick edit Valid 2020-01-07 FiFi_L3
FiFi_M1 Finnish Fish Index – type M1 Quick edit Valid 2020-01-07 FiFi_M1
FiFi_M2 Finnish Fish Index – type M2 Quick edit Valid 2020-01-07 FiFi_M2
FiFi_M3 Finnish Fish Index – type M3 Quick edit Valid 2020-01-07 FiFi_M3
FinMIOrg Multimetric system, first version established Quick edit Valid 2020-01-07 FinMIOrg
FinPP Finnish phytoplankton assessment method for lakes Quick edit Deprecated - superseded 2021-10-07 FinPP
Finnmac Finnish macrophyte classification system Quick edit Valid 2020-01-07 Finnmac
FleMP Flemish macrophyte assessment system Quick edit Deprecated - superseded 2021-10-07 FleMP
FlePP Flemish phytoplankton assessment method for lakes Quick edit Deprecated - superseded 2021-10-07 FlePP
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?