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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 461 to 480.First2021222324252627Last
Id Label Status Status Modified Notation
114301802 Konstancin-Jeziorna Quick edit Valid 2013-05-30 114301802
114301803 Lesznowola Quick edit Valid 2013-05-30 114301803
114301804 Piaseczno Quick edit Valid 2013-05-30 114301804
114301805 Prażmów Quick edit Valid 2013-05-30 114301805
114301806 Tarczyn Quick edit Valid 2013-05-30 114301806
114302101 Piastów Quick edit Valid 2013-05-30 114302101
114302102 Pruszków Quick edit Valid 2013-05-30 114302102
114302103 Brwinów Quick edit Valid 2013-05-30 114302103
114302104 Michałowice Quick edit Valid 2013-05-30 114302104
114302105 Nadarzyn Quick edit Valid 2013-05-30 114302105
114302106 Raszyn Quick edit Valid 2013-05-30 114302106
114302801 Sochaczew Quick edit Valid 2013-05-30 114302801
114302802 Brochów Quick edit Valid 2013-05-30 114302802
114302803 Iłów Quick edit Valid 2013-05-30 114302803
114302804 Młodzieszyn Quick edit Valid 2013-05-30 114302804
114302805 Nowa Sucha Quick edit Valid 2013-05-30 114302805
114302806 Rybno Quick edit Valid 2013-05-30 114302806
114302807 Sochaczew Quick edit Valid 2013-05-30 114302807
114302808 Teresin Quick edit Valid 2013-05-30 114302808
114303201 Błonie Quick edit Valid 2013-05-30 114303201
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?