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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 441 to 460.First1920212223242526Last
Id Label Status Status Modified Notation
114293410 Strachówka Quick edit Valid 2013-05-30 114293410
114293411 Tłuszcz Quick edit Valid 2013-05-30 114293411
114293412 Wołomin Quick edit Valid 2013-05-30 114293412
114300501 Milanówek Quick edit Valid 2013-05-30 114300501
114300502 Podkowa Leśna Quick edit Valid 2013-05-30 114300502
114300503 Baranów Quick edit Valid 2013-05-30 114300503
114300504 Grodzisk Mazowiecki Quick edit Valid 2013-05-30 114300504
114300505 Jaktorów Quick edit Valid 2013-05-30 114300505
114300506 Żabia Wola Quick edit Valid 2013-05-30 114300506
114300601 Belsk Duży Quick edit Valid 2013-05-30 114300601
114300602 Błędów Quick edit Valid 2013-05-30 114300602
114300603 Chynów Quick edit Valid 2013-05-30 114300603
114300604 Goszczyn Quick edit Valid 2013-05-30 114300604
114300605 Grójec Quick edit Valid 2013-05-30 114300605
114300606 Jasieniec Quick edit Valid 2013-05-30 114300606
114300607 Mogielnica Quick edit Valid 2013-05-30 114300607
114300608 Nowe Miasto nad Pilicą Quick edit Valid 2013-05-30 114300608
114300609 Pniewy Quick edit Valid 2013-05-30 114300609
114300611 Warka Quick edit Valid 2013-05-30 114300611
114301801 Góra Kalwaria Quick edit Valid 2013-05-30 114301801
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?