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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

6,250 concepts found, displaying 3,801 to 3,820.First187188189190191192193194Last
Id Label Status Status Modified Notation
571032 Pěčice Quick edit Valid 2013-05-30 571032
571041 Třebechovice pod Orebem Quick edit Valid 2013-05-30 571041
571059 Třesovice Quick edit Valid 2013-05-30 571059
571067 Doubravička Quick edit Valid 2013-05-30 571067
571075 Kluky Quick edit Valid 2013-05-30 571075
571083 Vinary Quick edit Valid 2013-05-30 571083
571091 Všestary Quick edit Valid 2013-05-30 571091
571105 Výrava Quick edit Valid 2013-05-30 571105
571113 Vysoká nad Labem Quick edit Valid 2013-05-30 571113
571121 Niměřice Quick edit Valid 2013-05-30 571121
571130 Zachrašťany Quick edit Valid 2013-05-30 571130
571148 Rokytovec Quick edit Valid 2013-05-30 571148
571156 Nemyslovice Quick edit Valid 2013-05-30 571156
571164 Chrudim Quick edit Valid 2013-05-30 571164
571172 Kobylnice Quick edit Valid 2013-05-30 571172
571181 Běstvina Quick edit Valid 2013-05-30 571181
571199 Bratřínov Quick edit Valid 2013-05-30 571199
571202 Bojanov Quick edit Valid 2013-05-30 571202
571211 Klínec Quick edit Valid 2013-05-30 571211
571229 Bořice Quick edit Valid 2013-05-30 571229
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?