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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 1,341 to 1,360.First6465666768697071Last
Id Label Status Status Modified Notation
326520410 Miedziana Góra Quick edit Valid 2013-05-30 326520410
326520411 Mniów Quick edit Valid 2013-05-30 326520411
326520412 Morawica Quick edit Valid 2013-05-30 326520412
326520413 Nowa Słupia Quick edit Valid 2013-05-30 326520413
326520414 Piekoszów Quick edit Valid 2013-05-30 326520414
326520415 Pierzchnica Quick edit Valid 2013-05-30 326520415
326520416 Raków Quick edit Valid 2013-05-30 326520416
326520417 Sitkówka-Nowiny Quick edit Valid 2013-05-30 326520417
326520418 Strawczyn Quick edit Valid 2013-05-30 326520418
326520419 Zagnańsk Quick edit Valid 2013-05-30 326520419
326520501 Fałków Quick edit Valid 2013-05-30 326520501
326520502 Gowarczów Quick edit Valid 2013-05-30 326520502
326520503 Końskie Quick edit Valid 2013-05-30 326520503
326520504 Radoszyce Quick edit Valid 2013-05-30 326520504
326520505 Ruda Maleniecka Quick edit Valid 2013-05-30 326520505
326520506 Słupia (Konecka) Quick edit Valid 2013-05-30 326520506
326520507 Smyków Quick edit Valid 2013-05-30 326520507
326520508 Stąporków Quick edit Valid 2013-05-30 326520508
326520701 Ostrowiec Świętokrzyski Quick edit Valid 2013-05-30 326520701
326520702 Bałtów Quick edit Valid 2013-05-30 326520702
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?