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 641 to 660.First2930313233343536Last
Id Label Status Status Modified Notation
212231809 Wadowice Quick edit Valid 2013-05-30 212231809
212231810 Wieprz Quick edit Valid 2013-05-30 212231810
212240201 Borzęcin Quick edit Valid 2013-05-30 212240201
212240202 Brzesko Quick edit Valid 2013-05-30 212240202
212240203 Czchów Quick edit Valid 2013-05-30 212240203
212240204 Dębno Quick edit Valid 2013-05-30 212240204
212240205 Gnojnik Quick edit Valid 2013-05-30 212240205
212240206 Iwkowa Quick edit Valid 2013-05-30 212240206
212240207 Szczurowa Quick edit Valid 2013-05-30 212240207
212240401 Bolesław Quick edit Valid 2013-05-30 212240401
212240402 Dąbrowa Tarnowska Quick edit Valid 2013-05-30 212240402
212240403 Gręboszów Quick edit Valid 2013-05-30 212240403
212240404 Mędrzechów Quick edit Valid 2013-05-30 212240404
212240405 Olesno Quick edit Valid 2013-05-30 212240405
212240406 Radgoszcz Quick edit Valid 2013-05-30 212240406
212240407 Szczucin Quick edit Valid 2013-05-30 212240407
212241601 Ciężkowice Quick edit Valid 2013-05-30 212241601
212241602 Gromnik Quick edit Valid 2013-05-30 212241602
212241603 Lisia Góra Quick edit Valid 2013-05-30 212241603
212241604 Pleśna Quick edit Valid 2013-05-30 212241604
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?