The module Biobanking Basic Set is used to document the quality of samples of the Basic Set. The Basic Set consists of EDTA plasma, serum, citrate plasma, buffy coat and urine.
The processing and storage of the material ought to be performed according to DZHK-SOP-B-02 .
 

Number of filled aliquot tubes

Serum

  Fieldname: basis_numaliquotserumcount
  Note in CRF: Number of filled serum tubes [300µl]
  Data type: Integer with maximum 2 digits

EDTA plasma

  Fieldname: basis_numaliquotedtacount
  Note in CRF: Number of filled EDTA tubes [300µl]
  Data type: Integer with maximum 2 digits

Citrate plasma

  Fieldname: basis_numaliquotcitratcount
  Note in CRF: Number of filled Citrate tubes [300µl]
  Data type: Integer with maximum 2 digits

Urine

  Fieldname: basis_numaliquoturincount
  Note in CRF: Number of filled Urin tubes [300µl]
  Data type: Integer with maximum 2 digits

Buffy coat

  Fieldname: basis_numaliquotzellcount
  Note in CRF: Number of filled Buffy Coat tubes [< 300µl]
  Data type: Integer with maximum 2 digits

 Figure: Number of records by aliquots of sort of material

Blood and Urine collection

Blood collection

  Fieldname: basis_source
  Note in CRF: Blood collected
  Data type: String with following options
    venous
    arterial
    unknown
    not assessed

  Figure: Number of records by blood collection

Position during blood collection

  Fieldname: basis_position
  Note in CRF: Position during blood collection
  Data type: String with following options
    sitting
    lying
    unkown
    not assessed

  Figure: Number of records by position during blood collection

Duration of position prior to blood collection

  Fieldname: basis_durationpositionnum
  Note in CRF: How long was the patient/subject in this position prior to blood collection? in min
  Data type: Integer with maximum 2 digits and maximum at 60 minutes

  Fieldname: basis_durationposition
  Data type: Checkbox with Yes and No

Time interval since last food intake

  Fieldname: basis_nahrabstand
  Note in CRF: Time interval since last food intake
  Data type: String with following options
    < 8 h
    ≥ 8 h
    unkown
    not assessed

  Figure: Number of records by Time interval since last food intake
  Fieldname: basis_abstand
  Note in CRF: Total number of hours, if known
  Data type: Integer with maximum 2 digits

Parenteral nutrition

  Fieldname: basis_parental
  Note in CRF: Parenteral nutrition
  Data type: String with following options
    yes
    no
    unknown
    not assessed

  Figure: Number of records by parenteral nutrition

Menstruating at time of urine collection

  Fieldname: basis_menstruation
  Note in CRF: For women: Menstruating at time of urine collection
  Data type: String with following options
    yes
    no
    unknown
    not assessed

  Figure: Number of records by menstruating at time of urine collection

Processsteps

Time of blood collection

  Fieldname: basis_dtsampletaking
  Note in CRF: Time of blood collection
  Data type: Timestamp with year, month, day, hour and minute

Time of urine collection

  Fieldname: basis_dturintaking
  Note in CRF: Time of urine collection(clinic)
  Data type: Timestamp with year, month, day, hour and minute

Time of receipt at the laboratory

  Fieldname: basis_labarrivaldatetime
  Note in CRF: Time of receipt at the laboratory
  Data type: Timestamp with year, month, day, hour and minute

Time of receipt at the laboratory (urine)

  Fieldname: basis_labarrivalurindate
  Note in CRF: Only if time of receipt of urine differs from blood, complete for urine:
  Data type: Timestamp with year, month, day, hour and minute

End of centrifugation

  Fieldname: basis_endofcentrifugation
  Note in CRF: End of centrifugation; date, if different from time of receipt at the laboratory
  Data type: Timestamp with hour and minute

End of centrifugation (urine)

  Fieldname: basis_endofcentriurin
  Note in CRF: If time of receipt of urine differs from blood, please complete for urine:
  Data type: Timestamp with hour and minute

Time of freezing of all aliquots 

  Fieldname: basis_freezingdate
  Note in CRF: Time of freezing of all aliquots at -80°C or lower (Serum, EDTA plasma, Citrate plasma, Urine, Buffy Coat)
  Data type: Timestamp with year, month, day, hour and minute

Sample properties (blood)

Normal

  Fieldname: basis_stateordinary
  Note in CRF: Is the sample normal?
  Data type: String with following options
    yes
    no
    unknown
    not assessed

Lipaemic

  Fieldname: basis_statelipaemic
  Note in CRF: Is the sample lipaemic
  Data type: String with following options
    yes
    no
    unknown
    not assessed

Icteric

  Fieldname: basis_stateikteric
  Note in CRF: Is the sample icteric
  Data type: String with following options
    yes
    no
    unknown
    not assessed

Haemolytic

  Fieldname: basis_statehaemolytic
  Note in CRF: Is the sample haemolytic
  Data type: String with following options
    yes
    no
    unknown
    not assessed

  Figure: Number of records by blood aliquots of sample properties

Sample properties (urine)

Normal

  Fieldname: basis_stateurinordinary
  Note in CRF: Is the sample normal
  Data type: String with following options
    yes
    no
    unknown
    not assessed

Cloudy

  Fieldname: basis_stateurinopaque
  Note in CRF: Is the sample cloudy
  Data type: String with following options
    yes
    no
    unknown
    not assessed

Bloody

  Fieldname: basis_stateurinbloody
  Note in CRF: Is the sample bloody
  Data type: String with following options
    yes
    no
    unknown
    not assessed

  Figure: Number of urine aliquots by sample properties

Commentaries

Commentaries (general)

  Fieldname: basis_pbscomment
  Data type:  Free text

Commentaries (aliquots)

  Fieldname: basis_numfullaliquotzelpko
  Note in CRF: commentaries
  Data type: Free text