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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

551 concepts found, displaying 1 to 20.FirstPrev12345678Last
Id Label Status Status Modified Notation
1201 Birštono seniūnija Quick edit Valid 2013-05-30 1201
1301 Antakalnio seniūnija Quick edit Valid 2013-05-30 1301
1302 Fabijoniškių seniūnija Quick edit Valid 2013-05-30 1302
1303 Justiniškių seniūnija Quick edit Valid 2013-05-30 1303
1304 Karoliniškių seniūnija Quick edit Valid 2013-05-30 1304
1305 Lazdynų seniūnija Quick edit Valid 2013-05-30 1305
1306 Naujamiesčio seniūnija Quick edit Valid 2013-05-30 1306
1307 Naujininkų seniūnija Quick edit Valid 2013-05-30 1307
1308 Naujosios Vilnios seniūnija Quick edit Valid 2013-05-30 1308
1309 Panerių seniūnija Quick edit Valid 2013-05-30 1309
1310 Pašilaičių seniūnija Quick edit Valid 2013-05-30 1310
1311 Pilaitės seniūnija Quick edit Valid 2013-05-30 1311
1312 Rasų seniūnija Quick edit Valid 2013-05-30 1312
1313 Verkių seniūnija Quick edit Valid 2013-05-30 1313
1314 Senamiesčio seniūnija Quick edit Valid 2013-05-30 1314
1315 Šeškinės seniūnija Quick edit Valid 2013-05-30 1315
1316 Šnipiškių seniūnija Quick edit Valid 2013-05-30 1316
1317 Vilkpėdės seniūnija Quick edit Valid 2013-05-30 1317
1318 Viršuliškių seniūnija Quick edit Valid 2013-05-30 1318
1319 Žirmūnų seniūnija Quick edit Valid 2013-05-30 1319
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?