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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 3,181 to 3,200.First156157158159160161162163Last
Id Label Status Status Modified Notation
RO22 Sud-Est Quick edit Valid 2013-09-25 RO22
RO221 Braila Quick edit Valid 2013-09-25 RO221
RO222 Buzau Quick edit Valid 2013-09-25 RO222
RO223 Constanta Quick edit Valid 2013-09-25 RO223
RO224 Galati Quick edit Valid 2013-09-25 RO224
RO225 Tulcea Quick edit Valid 2013-09-25 RO225
RO226 Vrancea Quick edit Valid 2013-09-25 RO226
RO3 Macroregiunea trei Quick edit Valid 2013-09-25 RO3
RO31 Sud - Muntenia Quick edit Valid 2013-09-25 RO31
RO311 Arges Quick edit Valid 2013-09-25 RO311
RO312 Calarasi Quick edit Valid 2013-09-25 RO312
RO313 Dâmbovita Quick edit Valid 2013-09-25 RO313
RO314 Giurgiu Quick edit Valid 2013-09-25 RO314
RO315 Ialomita Quick edit Valid 2013-09-25 RO315
RO316 Prahova Quick edit Valid 2013-09-25 RO316
RO317 Teleorman Quick edit Valid 2013-09-25 RO317
RO32 Bucuresti - Ilfov Quick edit Valid 2013-09-25 RO32
RO321 Bucuresti Quick edit Valid 2013-09-25 RO321
RO322 Ilfov Quick edit Valid 2013-09-25 RO322
RO4 Macroregiunea patru Quick edit Valid 2013-09-25 RO4
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?