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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 6,021 to 6,040.First298299300301302303304305Last
Id Label Status Status Modified Notation
597066 Vidonín Quick edit Valid 2013-05-30 597066
597074 Vír Quick edit Valid 2013-05-30 597074
597082 Vlkov Quick edit Valid 2013-05-30 597082
597091 Vojnův Městec Quick edit Valid 2013-05-30 597091
597104 Vratislávka Quick edit Valid 2013-05-30 597104
597112 Záblatí Quick edit Valid 2013-05-30 597112
597121 Zadní Zhořec Quick edit Valid 2013-05-30 597121
597139 Znětínek Quick edit Valid 2013-05-30 597139
597147 Zubří Quick edit Valid 2013-05-30 597147
597155 Zvole Quick edit Valid 2013-05-30 597155
597163 Ždánice Quick edit Valid 2013-05-30 597163
597171 Žďárec Quick edit Valid 2013-05-30 597171
597180 Bruntál Quick edit Valid 2013-05-30 597180
597198 Bílčice Quick edit Valid 2013-05-30 597198
597201 Bohušov Quick edit Valid 2013-05-30 597201
597210 Brantice Quick edit Valid 2013-05-30 597210
597228 Břidličná Quick edit Valid 2013-05-30 597228
597252 Dětřichov nad Bystřicí Quick edit Valid 2013-05-30 597252
597287 Dolní Moravice Quick edit Valid 2013-05-30 597287
597317 Dvorce Quick edit Valid 2013-05-30 597317
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?