You are here:
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 21 to 40.First12345678Last
Id Label Status Status Modified Notation
110152008 Stryków Quick edit Valid 2013-05-30 110152008
110152009 Zgierz Quick edit Valid 2013-05-30 110152009
110152101 Brzeziny Quick edit Valid 2013-05-30 110152101
110152102 Brzeziny Quick edit Valid 2013-05-30 110152102
110152103 Dmosin Quick edit Valid 2013-05-30 110152103
110152104 Jeżów Quick edit Valid 2013-05-30 110152104
110152105 Rogów Quick edit Valid 2013-05-30 110152105
110166101 Łódź Quick edit Valid 2013-05-30 110166101
110170101 Bełchatów Quick edit Valid 2013-05-30 110170101
110170102 Bełchatów Quick edit Valid 2013-05-30 110170102
110170103 Drużbice Quick edit Valid 2013-05-30 110170103
110170104 Kleszczów Quick edit Valid 2013-05-30 110170104
110170105 Kluki Quick edit Valid 2013-05-30 110170105
110170106 Rusiec Quick edit Valid 2013-05-30 110170106
110170107 Szczerców Quick edit Valid 2013-05-30 110170107
110170108 Zelów Quick edit Valid 2013-05-30 110170108
110170701 Białaczów Quick edit Valid 2013-05-30 110170701
110170702 Drzewica Quick edit Valid 2013-05-30 110170702
110170703 Mniszków Quick edit Valid 2013-05-30 110170703
110170704 Opoczno Quick edit Valid 2013-05-30 110170704
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?