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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
skos:prefLabel Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
24 Sep 2013

Add new data elements

Mandatory
Mandatory
Optional
Optional
 

Vocabulary concepts

5,302 concepts found, displaying 281 to 300.First1112131415161718Last
Id Label Status Status Modified Notation
04056 Bilka Quick edit Valid 2013-05-30 04056
04068 Bilkini Quick edit Valid 2013-05-30 04068
04090 Bilo Quick edit Valid 2013-05-30 04090
04100 Bilyanska Quick edit Valid 2013-05-30 04100
04114 Binkos Quick edit Valid 2013-05-30 04114
04128 Biser Quick edit Valid 2013-05-30 04128
04131 Bisertsi Quick edit Valid 2013-05-30 04131
04145 Bistra Quick edit Valid 2013-05-30 04145
04159 Bistra Quick edit Valid 2013-05-30 04159
04162 Bistrentsi Quick edit Valid 2013-05-30 04162
04176 Bistrets Quick edit Valid 2013-05-30 04176
04193 Bistrets Quick edit Valid 2013-05-30 04193
04203 Bistrilitsa Quick edit Valid 2013-05-30 04203
04217 Bistritsa Quick edit Valid 2013-05-30 04217
04220 Bistritsa Quick edit Valid 2013-05-30 04220
04234 Bistritsa Quick edit Valid 2013-05-30 04234
04248 Bistrogled Quick edit Valid 2013-05-30 04248
04251 Blagovo Quick edit Valid 2013-05-30 04251
04265 Blagovo Quick edit Valid 2013-05-30 04265
04279 Blagoevgrad Quick edit Valid 2013-05-30 04279
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?