You are here:
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 23,241 to 23,260.First1,1591,1601,1611,1621,1631,1641,1651,166Last
Id Label Status Status Modified Notation
SE0240069 Sköllersta prästäng Quick edit Valid 2018-01-19 SE0240069
SE0240070 Rockebro Quick edit Valid 2018-01-19 SE0240070
SE0240071 Kråksjöåsen Quick edit Valid 2018-01-19 SE0240071
SE0240072 Lidetorpsmon Quick edit Valid 2018-01-19 SE0240072
SE0240073 Grängshytteforsarna Quick edit Valid 2018-01-19 SE0240073
SE0240074 Mantorp Quick edit Valid 2018-01-19 SE0240074
SE0240075 Trystorps ekäng Quick edit Valid 2018-01-19 SE0240075
SE0240076 Råsvalens naturreservat Quick edit Valid 2018-01-19 SE0240076
SE0240077 Lillsjöbäcken-Järlehyttebäcken Quick edit Valid 2018-01-19 SE0240077
SE0240078 Björka lertag Quick edit Valid 2018-01-19 SE0240078
SE0240079 Glottrakärret-Venerna Quick edit Valid 2018-01-19 SE0240079
SE0240081 Kamptjärnsbrännan Quick edit Valid 2018-01-19 SE0240081
SE0240082 Sörön Quick edit Valid 2018-01-19 SE0240082
SE0240083 Fåran Quick edit Valid 2018-01-19 SE0240083
SE0240084 Svartkärr Quick edit Valid 2018-01-19 SE0240084
SE0240085 Nittenmossen-östra Quick edit Valid 2018-01-19 SE0240085
SE0240086 Spångabäcken Quick edit Valid 2018-01-19 SE0240086
SE0240087 Sörsjön Quick edit Valid 2018-01-19 SE0240087
SE0240088 Munkhyttan Quick edit Valid 2018-01-19 SE0240088
SE0240089 Vargavidderna Quick edit Valid 2018-01-19 SE0240089
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?