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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:broadMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

2,479 concepts found, displaying 1,281 to 1,300.First6162636465666768Last
Id Label Status Status Modified Notation
320381301 Wysokie Mazowieckie Quick edit Valid 2013-05-30 320381301
320381302 Ciechanowiec Quick edit Valid 2013-05-30 320381302
320381303 Czyżew-Osada Quick edit Valid 2013-05-30 320381303
320381304 Klukowo Quick edit Valid 2013-05-30 320381304
320381305 Kobylin-Borzymy Quick edit Valid 2013-05-30 320381305
320381306 Kulesze Kościelne Quick edit Valid 2013-05-30 320381306
320381307 Nowe Piekuty Quick edit Valid 2013-05-30 320381307
320381308 Sokoły Quick edit Valid 2013-05-30 320381308
320381309 Szepietowo Quick edit Valid 2013-05-30 320381309
320381310 Wysokie Mazowieckie Quick edit Valid 2013-05-30 320381310
320381401 Zambrów Quick edit Valid 2013-05-30 320381401
320381402 Kołaki Kościelne Quick edit Valid 2013-05-30 320381402
320381403 Rutki Quick edit Valid 2013-05-30 320381403
320381404 Szumowo Quick edit Valid 2013-05-30 320381404
320381405 Zambrów Quick edit Valid 2013-05-30 320381405
320386201 Łomża Quick edit Valid 2013-05-30 320386201
320390101 Augustów Quick edit Valid 2013-05-30 320390101
320390102 Augustów Quick edit Valid 2013-05-30 320390102
320390103 Bargłów Kościelny Quick edit Valid 2013-05-30 320390103
320390104 Lipsk Quick edit Valid 2013-05-30 320390104
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?