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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 61 to 80.First12345678Last
Id Label Status Status Modified Notation
110171206 Kobiele Wielkie Quick edit Valid 2013-05-30 110171206
110171207 Kodrąb Quick edit Valid 2013-05-30 110171207
110171208 Lgota Wielka Quick edit Valid 2013-05-30 110171208
110171209 Ładzice Quick edit Valid 2013-05-30 110171209
110171210 Masłowice Quick edit Valid 2013-05-30 110171210
110171211 Przedbórz Quick edit Valid 2013-05-30 110171211
110171212 Radomsko Quick edit Valid 2013-05-30 110171212
110171213 Wielgomłyny Quick edit Valid 2013-05-30 110171213
110171214 Żytno Quick edit Valid 2013-05-30 110171214
110171601 Tomaszów Mazowiecki Quick edit Valid 2013-05-30 110171601
110171602 Będków Quick edit Valid 2013-05-30 110171602
110171603 Budziszewice Quick edit Valid 2013-05-30 110171603
110171604 Czerniewice Quick edit Valid 2013-05-30 110171604
110171605 Inowłódz Quick edit Valid 2013-05-30 110171605
110171606 Lubochnia Quick edit Valid 2013-05-30 110171606
110171607 Rokiciny Quick edit Valid 2013-05-30 110171607
110171608 Rzeczyca Quick edit Valid 2013-05-30 110171608
110171609 Tomaszów Mazowiecki Quick edit Valid 2013-05-30 110171609
110171610 Ujazd Quick edit Valid 2013-05-30 110171610
110171611 Żelechlinek Quick edit Valid 2013-05-30 110171611
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?