Data preparation

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Revision as of 18:30, 4 November 2014 by LornaMorris (talk | contribs) (Add columns with ‘unit of measurement’)
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Prepare Data for XML Transfer and ABCD Mapping

Before you start with data preparation as described in BioCASE documentation, it is necessary to prepare the content of the data set for following reasons:

  • Make content information comprehensible
  • Add fields mandatory to ABCD Mapping


The following preparation steps are recommended:

Convert abbreviations into complete words

In the screenshot below abbreviations in original data on the left were transferred to complete words in the right: RLB - Rote Liste Berlin (= Red Lists Berlin), RLBb - Rote Liste Brandenburg (= Red Lists Brandenburg) ResolveAbbreviations.jpg

Translate numbers or characters into text

In some cases numbers or characters don’t represent a value but are qualitative statements. To make this information comprehensible it is recommended that they are converted into written text. You can use “if functions” in Excel for conversion of numbers and characters. e.g. =IF(A3="3";"3-gefährdet";IF(A3="1";"1- vom Aussterben bedroht";A3;""))

Conversion of numbers

When only numbers where present in the original data, a textual description was added to define the number. These were as follows:

  • 1 – vom Aussterben bedroht (= critically endangered)
  • 2 – stark gefährded (= endangered)
  • 3 – gefährdet (= vulnerable)
  • 4 - potentiell gefährdet (= near threatended)

TranslateNumbersintoText.JPG

Conversion of characters

Characters in original data were converted to text (for different ecological types)

TranslateCharacterssintoText.JPG

Convert Values into the ABCD essential form

  • Example: Transform lat/lon coordinates into decimal form (required for ABCD).

Latitude in degree, minute and seconds were transformed into decimal degrees.


ConvertValues.JPG

Add columns with ‘unit of measurement’

Add columns with ‘unit of measurement’, if missing, according to the measurement. Otherwise in ABCD the units cannot be allocated to the values correctly.

  • Example: header of a column in Excel: tarsus (mm) – length, width, height. Add columns with header ‘Unit’ and enter ‘mm’ in every row.

You can add repeated data values to columns in MS Access with by using following SQL statement: SELECT [unit_tarsus_length] AS mm


AddUnitOfMeasurement.JPG

Add core information from metadata

Add core information from metadata to every unit, if missing in the unit table. You can add this information by using the SQL statement above.

Denormalise information

In the case of repeatable elements in ABCD you need to denormalise the data. For more information see the BioCASE documention Wiki - under the section "Controlled Denormalisation".