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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
inCountry Vocabulary
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
29 Aug 2014
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 (forcefully equal to identifier in this vocabulary)
 

Vocabulary concepts

28,510 concepts found, displaying 22,761 to 22,780.First1,1351,1361,1371,1381,1391,1401,1411,142Last
Id Label Status Status Modified Notation
SE0220152 Barrsjömossen Quick edit Valid 2018-01-19 SE0220152
SE0220154 Öknaby Quick edit Valid 2018-01-19 SE0220154
SE0220156 Lilla Tjärbruket Quick edit Valid 2018-01-19 SE0220156
SE0220160 Bränntorp Quick edit Valid 2018-01-19 SE0220160
SE0220166 Bråtön Quick edit Valid 2018-01-19 SE0220166
SE0220168 Mora hage Quick edit Valid 2018-01-19 SE0220168
SE0220174 Marvikarna Quick edit Valid 2018-01-19 SE0220174
SE0220175 Södra Kärrlången Quick edit Valid 2018-01-19 SE0220175
SE0220176 Tovhulta stormosse Quick edit Valid 2018-01-19 SE0220176
SE0220182 Segersön Quick edit Valid 2018-01-19 SE0220182
SE0220191 Himlingeåsen Quick edit Valid 2018-01-19 SE0220191
SE0220193 Jaktstuguskogen Quick edit Valid 2018-01-19 SE0220193
SE0220194 Henaredalen Quick edit Valid 2018-01-19 SE0220194
SE0220197 Kalkbro Quick edit Valid 2018-01-19 SE0220197
SE0220199 Gorsingeholm Quick edit Valid 2018-01-19 SE0220199
SE0220201 Evighetsbacken Quick edit Valid 2018-01-19 SE0220201
SE0220202 Djupviksnäs Quick edit Valid 2018-01-19 SE0220202
SE0220203 Lånestaheden Quick edit Valid 2018-01-19 SE0220203
SE0220204 Hålvetten-Näsnaren Quick edit Valid 2018-01-19 SE0220204
SE0220205 Stora Munkebo Quick edit Valid 2018-01-19 SE0220205
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?