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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:member Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
04 Oct 2016

Add new data elements

Mandatory
Mandatory
Optional
Optional (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

23 concepts found, displaying 1 to 20.FirstPrev12Last
Id Label Status Status Modified Notation
CA5 Central Asia Quick edit Valid 2016-10-04 CA5
EEA EEA Members Quick edit Valid 2016-10-04 EEA
EEA32 EEA-32 Members Quick edit Valid 2016-10-04 EEA32
EEA33 EEA-33 Members Quick edit Valid 2016-10-04 EEA33
EEA39 EEA-39 Members Quick edit Valid 2017-06-26 EEA39
EFTA4 European Free Trade Association Quick edit Valid 2016-10-04 EFTA4
EIONET Eionet Quick edit Valid 2016-10-04 EIONET
EN7 Eastern neighbours Quick edit Valid 2016-10-04 EN7
EU European Union Quick edit Valid 2016-10-04 EU
EU12 EU12 Quick edit Valid 2016-10-04 EU12
EU15 EU15 Quick edit Valid 2016-10-04 EU15
EU25 EU25 Quick edit Valid 2016-10-04 EU25
EU27 EU27 Quick edit Valid 2016-10-04 EU27
EU28 EU28 Quick edit Valid 2016-10-04 EU28
EUN22 EU neighbours and their neighbours Quick edit Valid 2016-10-04 EUN22
NMS10 New Member States (10 countries) Quick edit Valid 2016-10-04 NMS10
NMS12 NMS12 Quick edit Valid 2016-10-04 NMS12
NMS13 NMS13 Quick edit Valid 2016-10-04 NMS13
PANE Pan-Europe Quick edit Valid 2017-06-26 PANE
SN10 Southern neighbours Quick edit Valid 2016-10-04 SN10
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?