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

6,250 concepts found, displaying 2,621 to 2,640.First128129130131132133134135Last
Id Label Status Status Modified Notation
557099 Soběšice Quick edit Valid 2013-05-30 557099
557102 Bohuslavice nad Vláří Quick edit Valid 2013-05-30 557102
557111 Srní Quick edit Valid 2013-05-30 557111
557129 Strašín Quick edit Valid 2013-05-30 557129
557137 Strážov Quick edit Valid 2013-05-30 557137
557145 Lukoveček Quick edit Valid 2013-05-30 557145
557153 Sušice Quick edit Valid 2013-05-30 557153
557161 Svéradice Quick edit Valid 2013-05-30 557161
557170 Ostrata Quick edit Valid 2013-05-30 557170
557188 Šelešovice Quick edit Valid 2013-05-30 557188
557196 Pavlovice u Kojetína Quick edit Valid 2013-05-30 557196
557200 Švihov Quick edit Valid 2013-05-30 557200
557218 Kobylá nad Vidnavkou Quick edit Valid 2013-05-30 557218
557226 Písečná Quick edit Valid 2013-05-30 557226
557366 Velhartice Quick edit Valid 2013-05-30 557366
557374 Velké Hydčice Quick edit Valid 2013-05-30 557374
557382 Velký Bor Quick edit Valid 2013-05-30 557382
557455 Vrhaveč Quick edit Valid 2013-05-30 557455
557463 Zavlekov Quick edit Valid 2013-05-30 557463
557528 Železná Ruda Quick edit Valid 2013-05-30 557528
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?