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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 1,781 to 1,800.First8687888990919293Last
Id Label Status Status Modified Notation
432631602 Brzeżno Quick edit Valid 2013-05-30 432631602
432631603 Połczyn-Zdrój Quick edit Valid 2013-05-30 432631603
432631604 Rąbino Quick edit Valid 2013-05-30 432631604
432631605 Sławoborze Quick edit Valid 2013-05-30 432631605
432631606 Świdwin Quick edit Valid 2013-05-30 432631606
432631701 Wałcz Quick edit Valid 2013-05-30 432631701
432631702 Człopa Quick edit Valid 2013-05-30 432631702
432631703 Mirosławiec Quick edit Valid 2013-05-30 432631703
432631704 Tuczno Quick edit Valid 2013-05-30 432631704
432631705 Wałcz Quick edit Valid 2013-05-30 432631705
432636101 Koszalin Quick edit Valid 2010-01-01 432636101
432640201 Bierzwnik Quick edit Valid 2013-05-30 432640201
432640202 Choszczno Quick edit Valid 2013-05-30 432640202
432640203 Drawno Quick edit Valid 2013-05-30 432640203
432640204 Krzęcin Quick edit Valid 2013-05-30 432640204
432640205 Pełczyce Quick edit Valid 2013-05-30 432640205
432640206 Recz Quick edit Valid 2013-05-30 432640206
432640501 Brojce Quick edit Valid 2013-05-30 432640501
432640502 Gryfice Quick edit Valid 2013-05-30 432640502
432640503 Karnice Quick edit Valid 2013-05-30 432640503
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?