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
errorType Fixed values
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
03 May 2023
skos:editorialNote Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
24 Sep 2013
skos:hiddenLabel Quantitative
Released
  • Step 1
  • Step 2
  • Step 3
  • Step 4
  • Step 5
24 Sep 2013

Add new data elements

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

Vocabulary concepts

612 concepts found, displaying 261 to 280.First1011121314151617Last
Id Label Status Status Modified Notation
E25b The date-time of the primary data must be within the Reporting Year. Quick edit Valid 2023-05-04 E25b
E26 The combination of SamplingPoint, SamplingPointProcess, Sample and Pollutant must be valid compared to latest Assessment Methods (D) reported Quick edit Valid 2023-05-04 E26
E26b The Assessment Methods must be operational for the reported primary data Quick edit Valid 2023-05-04 E26b
E27 Check that all values (between @@) include as many fields as declared under swe:DataRecord Quick edit Valid 2023-05-04 E27
E28 The data array should not end with "@@". Please note that @@ is a block separator. Quick edit Valid 2023-05-04 E28
E29 Check for unexpected spaces  around all values (between comma separator) under swe:values Quick edit Valid 2023-05-04 E29
E30 Check for possible outliers reported. List of valid values found outside the range according to http://dd.eionet.europa.eu/vocabulary/aq/primaryObservationRange/ Quick edit Valid 2023-05-04 E30
E30a Check for possible outliers reported taking into account both country specific and general ranges. Quick edit Valid 2023-05-04 E30a
E30b Check for possible outliers reported taking into account country specific ranges. Quick edit Valid 2023-05-04 E30b
E31 Check for date overlaps between consecutive data blocks within swe:values Quick edit Valid 2023-05-04 E31
E32 Check that all data submitted via CDR has been fully verified (flag 1) Quick edit Valid 2023-05-04 E32
E33 The average of valid data should not be 0 or negative Quick edit Valid 2023-05-04 E33
E34 The average of valid data is expected to be within 70 - 130% when comparing with the previous year Quick edit Valid 2023-05-04 E34
E34b The average of valid data per timeseries reported. Quick edit Valid 2023-05-04 E34b
E35 Check if data's resultTime is newer than previously reported data for same SamplingPoint/Year Quick edit Valid 2023-05-04 E35
E36 Check that reported data is evenly distributed over the year in order to avoid skewing of results.Evaluate the spread of data. Quick edit Valid 2024-02-15 E36
Eb0 Checks if this delivery is new or an update (on same reporting year) Quick edit Valid 2023-05-04 Eb0
Eb01 Total number Observations within this XML Document Quick edit Valid 2023-05-04 Eb01
Eb02 Start time must be less than end time (phenomenonTime) Quick edit Valid 2023-05-04 Eb02
Eb03 The resultTime must be after the phenomenonTime Quick edit Valid 2023-05-04 Eb03
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?