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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 801 to 820.First3738394041424344Last
Id Label Status Status Modified Notation
224497301 Rybnik Quick edit Valid 2013-05-30 224497301
224497901 Żory Quick edit Valid 2013-05-30 224497901
224500101 Będzin Quick edit Valid 2013-05-30 224500101
224500102 Czeladź Quick edit Valid 2013-05-30 224500102
224500103 Wojkowice Quick edit Valid 2013-05-30 224500103
224500104 Bobrowniki Quick edit Valid 2013-05-30 224500104
224500105 Mierzęcice Quick edit Valid 2013-05-30 224500105
224500106 Psary Quick edit Valid 2013-05-30 224500106
224500107 Siewierz Quick edit Valid 2013-05-30 224500107
224500108 Sławków Quick edit Valid 2013-05-30 224500108
224501601 Poręba Quick edit Valid 2013-05-30 224501601
224501602 Zawiercie Quick edit Valid 2013-05-30 224501602
224501603 Irządze Quick edit Valid 2013-05-30 224501603
224501604 Kroczyce Quick edit Valid 2013-05-30 224501604
224501605 Łazy Quick edit Valid 2013-05-30 224501605
224501606 Ogrodzieniec Quick edit Valid 2013-05-30 224501606
224501607 Pilica Quick edit Valid 2013-05-30 224501607
224501608 Szczekociny Quick edit Valid 2013-05-30 224501608
224501609 Włodowice Quick edit Valid 2013-05-30 224501609
224501610 Żarnowiec Quick edit Valid 2013-05-30 224501610
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?