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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
owl:sameAs Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013
skos:exactMatch Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
30 Sep 2013

Add new data elements

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

Vocabulary concepts

4,043 concepts found, displaying 2,361 to 2,380.First115116117118119120121122Last
Id Label Status Status Modified Notation
ITH51 Piacenza Quick edit Valid 2013-09-25 ITH51
ITH52 Parma Quick edit Valid 2013-09-25 ITH52
ITH53 Reggio nell'Emilia Quick edit Valid 2013-09-25 ITH53
ITH54 Modena Quick edit Valid 2013-09-25 ITH54
ITH55 Bologna Quick edit Valid 2013-09-25 ITH55
ITH56 Ferrara Quick edit Valid 2013-09-25 ITH56
ITH57 Ravenna Quick edit Valid 2013-09-25 ITH57
ITH58 Forlì-Cesena Quick edit Valid 2013-09-25 ITH58
ITH59 Rimini Quick edit Valid 2013-09-25 ITH59
ITI Centro (IT) Quick edit Valid 2013-09-25 ITI
ITI1 Toscana Quick edit Valid 2013-09-25 ITI1
ITI11 Massa-Carrara Quick edit Valid 2013-09-25 ITI11
ITI12 Lucca Quick edit Valid 2013-09-25 ITI12
ITI13 Pistoia Quick edit Valid 2013-09-25 ITI13
ITI14 Firenze Quick edit Valid 2013-09-25 ITI14
ITI15 Prato Quick edit Valid 2013-09-25 ITI15
ITI16 Livorno Quick edit Valid 2013-09-25 ITI16
ITI17 Pisa Quick edit Valid 2013-09-25 ITI17
ITI18 Arezzo Quick edit Valid 2013-09-25 ITI18
ITI19 Siena Quick edit Valid 2013-09-25 ITI19
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?