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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 1,921 to 1,940.First93949596979899100Last
Id Label Status Status Modified Notation
502020904 Kunice Quick edit Valid 2013-05-30 502020904
502020905 Legnickie Pole Quick edit Valid 2013-05-30 502020905
502020906 Miłkowice Quick edit Valid 2013-05-30 502020906
502020907 Prochowice Quick edit Valid 2013-05-30 502020907
502020908 Ruja Quick edit Valid 2013-05-30 502020908
502021101 Lubin Quick edit Valid 2013-05-30 502021101
502021102 Lubin Quick edit Valid 2013-05-30 502021102
502021103 Rudna Quick edit Valid 2013-05-30 502021103
502021104 Ścinawa Quick edit Valid 2013-05-30 502021104
502021601 Chocianów Quick edit Valid 2013-05-30 502021601
502021602 Gaworzyce Quick edit Valid 2013-05-30 502021602
502021603 Grębocice Quick edit Valid 2013-05-30 502021603
502021604 Polkowice Quick edit Valid 2013-05-30 502021604
502021605 Przemków Quick edit Valid 2013-05-30 502021605
502021606 Radwanice Quick edit Valid 2013-05-30 502021606
502026201 Legnica Quick edit Valid 2013-05-30 502026201
502030201 Bielawa Quick edit Valid 2013-05-30 502030201
502030202 Dzierżoniów Quick edit Valid 2013-05-30 502030202
502030203 Pieszyce Quick edit Valid 2013-05-30 502030203
502030204 Piława Górna Quick edit Valid 2013-05-30 502030204
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?