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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

28,131 concepts found, displaying 24,381 to 24,400.First1,2161,2171,2181,2191,2201,2211,2221,223Last
Id Label Status Status Modified Notation
SE0520129 Bredmossarna-Fisklössjön Quick edit Valid 2018-01-19 SE0520129
SE0520133 Koster Quick edit Valid 2018-01-19 SE0520133
SE0520141 Kynnefjäll Quick edit Valid 2018-01-19 SE0520141
SE0520142 Svartedalen Quick edit Valid 2018-01-19 SE0520142
SE0520144 Galtö lera-Älgö lera Quick edit Valid 2018-01-19 SE0520144
SE0520145 Klippan Quick edit Valid 2018-01-19 SE0520145
SE0520146 Bredfjället Quick edit Valid 2018-01-19 SE0520146
SE0520147 Sannäsfjorden Quick edit Valid 2018-01-19 SE0520147
SE0520148 Strömsvattnet Quick edit Valid 2018-01-19 SE0520148
SE0520149 Ranebolund Quick edit Valid 2018-01-19 SE0520149
SE0520150 Tanumskusten Quick edit Valid 2018-01-19 SE0520150
SE0520154 Klockaremossen Quick edit Valid 2018-01-19 SE0520154
SE0520155 Kragenäs Quick edit Valid 2018-01-19 SE0520155
SE0520156 Långevallsälven Quick edit Valid 2018-01-19 SE0520156
SE0520157 Maderna-Haketjärn Quick edit Valid 2018-01-19 SE0520157
SE0520160 Bokedalen Quick edit Valid 2018-01-19 SE0520160
SE0520161 Gustavsberg-Korpberget Quick edit Valid 2018-01-19 SE0520161
SE0520162 Bratteforsån Quick edit Valid 2018-01-19 SE0520162
SE0520163 Örekilsälven Quick edit Valid 2018-01-19 SE0520163
SE0520164 Frustugutjärnet Quick edit Valid 2018-01-19 SE0520164
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?