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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

2,479 concepts found, displaying 1,901 to 1,920.First9293949596979899Last
Id Label Status Status Modified Notation
502012601 Wojcieszów Quick edit Valid 2013-05-30 502012601
502012602 Złotoryja Quick edit Valid 2013-05-30 502012602
502012603 Pielgrzymka Quick edit Valid 2013-05-30 502012603
502012604 Świerzawa Quick edit Valid 2013-05-30 502012604
502012605 Zagrodno Quick edit Valid 2013-05-30 502012605
502012606 Złotoryja Quick edit Valid 2013-05-30 502012606
502016101 Jelenia Góra Quick edit Valid 2013-05-30 502016101
502020301 Głogów Quick edit Valid 2013-05-30 502020301
502020302 Głogów Quick edit Valid 2013-05-30 502020302
502020303 Jerzmanowa Quick edit Valid 2013-05-30 502020303
502020304 Kotla Quick edit Valid 2013-05-30 502020304
502020305 Pęcław Quick edit Valid 2013-05-30 502020305
502020306 Żukowice Quick edit Valid 2013-05-30 502020306
502020401 Góra Quick edit Valid 2013-05-30 502020401
502020402 Jemielno Quick edit Valid 2013-05-30 502020402
502020403 Niechlów Quick edit Valid 2013-05-30 502020403
502020404 Wąsosz Quick edit Valid 2013-05-30 502020404
502020901 Chojnów Quick edit Valid 2013-05-30 502020901
502020902 Chojnów Quick edit Valid 2013-05-30 502020902
502020903 Krotoszyce Quick edit Valid 2013-05-30 502020903
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?