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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 1,321 to 1,340.First6364656667686970Last
Id Label Status Status Modified Notation
320390905 Sejny Quick edit Valid 2013-05-30 320390905
320391201 Bakałarzewo Quick edit Valid 2013-05-30 320391201
320391202 Filipów Quick edit Valid 2013-05-30 320391202
320391203 Jeleniewo Quick edit Valid 2013-05-30 320391203
320391204 Przerośl Quick edit Valid 2013-05-30 320391204
320391205 Raczki Quick edit Valid 2013-05-30 320391205
320391206 Rutka-Tartak Quick edit Valid 2010-01-01 320391206
320391207 Suwałki Quick edit Valid 2013-05-30 320391207
320391208 Szypliszki Quick edit Valid 2013-05-30 320391208
320391209 Wiżajny Quick edit Valid 2010-01-01 320391209
320396301 Suwałki Quick edit Valid 2013-05-30 320396301
326520401 Bieliny Quick edit Valid 2013-05-30 326520401
326520402 Bodzentyn Quick edit Valid 2013-05-30 326520402
326520403 Chęciny Quick edit Valid 2013-05-30 326520403
326520404 Chmielnik Quick edit Valid 2013-05-30 326520404
326520405 Daleszyce Quick edit Valid 2013-05-30 326520405
326520406 Górno Quick edit Valid 2013-05-30 326520406
326520407 Łagów Quick edit Valid 2013-05-30 326520407
326520408 Łopuszno Quick edit Valid 2013-05-30 326520408
326520409 Masłów Quick edit Valid 2013-05-30 326520409
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?