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
isApplicableToBQE Vocabulary
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
15 May 2017

Add new data elements

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

Vocabulary concepts

206 concepts found, displaying 101 to 120.First23456789Last
Id Label Status Status Modified Notation
IMMi-T Iberian Mediterranean Multimetric Index—using quantitative data Quick edit Valid 2019-10-21 IMMi-T
INVHMIB INVHMIB Quick edit Valid 2017-05-17 INVHMIB
IO Indeks Okrzemkowy IO dla rzek (Diatom Index for rivers) Quick edit Valid 2019-10-21 IO
IPAM Italian Phytoplankton Assessment Method (IPAM) Quick edit Valid 2019-10-21 IPAM
IPR Classification française DCE Indice Poissons Rivière (IPR). AFNOR NF-T-90-344. Arrêté du 25 janvier 2010 modifié relatif aux méthodes et critères d’évaluation de l’état écologique {…} des eaux de surface Quick edit Valid 2019-10-21 IPR
IPS Indice de Polluosensibilité Spécifique (Specific Pollution Sensitivity Index SPI) (Coste, in CEMAGREF, 1982; Lenoir & Coste, 1996 and Arrêté du Gouvernement wallon du 13 septembre 2012 relatif à l’identification, à la caractérisation et à la fixation des seuils d’état écologique applicables aux masses d’eau de surface et modifiant le Livre II du Code de l’Environnement, contenant le Code de l’Eau. Moniteur belge 12.10.2012) Quick edit Valid 2019-10-21 IPS
IQI Infaunal Quality Index Quick edit Valid 2017-05-17 IQI
IptIN Rivers Biological Quality Assessment Method-Benthic Invertebrates (IptIN, IptIS) Quick edit Valid 2019-10-21 IptIN
IreMI Irish biotic index Quick edit Valid 2019-10-21 IreMI
IrePP IE Lake Phytoplankton Index Quick edit Valid 2019-10-21 IrePP
KRW_MI KRW-maatlat Quick edit Valid 2019-10-21 KRW_MI
KRW_PB KRW Maatlat Quick edit Valid 2019-10-21 KRW_PB
LEAFPACS LEAFPACS lake macrophyte classification tool (1) Quick edit Valid 2019-10-21 LEAFPACS
LFI Lake Fish Index (LFI) Quick edit Valid 2019-10-21 LFI
LZI LZI Quick edit Valid 2019-10-21 LZI
LatMP Latvian macrophyte assessment method Quick edit Valid 2019-10-21 LatMP
LitMP Lithuanian macrophyte assessment method Quick edit Valid 2019-10-21 LitMP
LuxIBGN Classification luxembourgeoise DCE Indice Biologique Global Normalisé (IBGN) 1992, AFNOR NF-T-90-350 et circulaire DCE 2007/22 MEDD/DE/MAGE/BEMA 07/no 4 du 11 avril 2007 Quick edit Valid 2019-10-21 LuxIBGN
M-AMBI Multivariate AZTI Marine Biotic Index Quick edit Valid 2017-05-17 M-AMBI
M-AMBIn Multivariate AZTI’s Marine Biotic Index Normalized Quick edit Valid 2017-05-17 M-AMBIn
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?