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MOBILE CORONA DIAGNOSTIC LAB
DATA MANAGEMENT
Leo Sprengel
WHAT IS DATA MANAGEMENT?
July 8th, 2021
MOBILE CORONA DIAGNOSTIC LAB | Diagnostic Methods and Data Management slide 2
• Ensures that data are continuously of the same quality
• Regulations include sharing, preservation, access and reusage of data
• Data must allow a full and complete reconstitution and evaluation of a process
⮚ Includes original records, source data, metadata and all subsequent transformations
Data OBTAINED from patients
• Name, address
• Birthdate
• Contact information
• …
Data PRODUCED for patients
• SARS-CoV-2 test result
• RT-LAMP picture of sample
• RT-qPCR raw data
• RNA extraction record
HOW DO WE ENSURE GOOD DATA MANAGEMENT?
July 8th, 2021
MOBILE CORONA DIAGNOSTIC LAB | Diagnostic Methods and Data Management slide 3
• Continuously monitor processes to ensure adequate quality of resources
• Ensure proper infrastructure:
o maintenance of buildings, equipment and systems; provide power and water for the lab
o Training of personnel in good documentation practices and the ALCOA principles
• Apply risk management to assure product quality and validity of data
o Monitor arising problems to be aware of possible data integrity risks
o Set realistic and achievable expectations based on the capabilities of a method and the staff
• Use double-verification routines for important data
DATA INTEGRITY
July 8th, 2021
MOBILE CORONA DIAGNOSTIC LAB | Diagnostic Methods and Data Management slide 4
• Ensure that the collection of data is complete, consistent and accurate
⮚ Thorough and gapless end-to-end documentation of every process
• Protect data from modifications, manipulation and deletion or loss
• Use audit trails to monitor any alterations on original electronic records
o Using individual user accounts allows tracing of individual activities
o Document user IDs using an electronic time- and date-stamp
o Track the generation, modification and deletion of data (who, what, when, why)
THE ALCOA CONCEPT FOR DATA DOCUMENTATION
July 8th, 2021
MOBILE CORONA DIAGNOSTIC LAB | Diagnostic Methods and Data Management slide 5
• Attributable: all recorded information can be traced back to an individual person
⮚ Use unique user accounts to link individuals to the creation and modification of data
⮚ Work with electronic signatures
• Legible, traceable and permanent: data have to be understandable and reproducible
⮚ Do backups and use secure electronic archives
• Contemporaneous: Data have to be recorded at the time they are generated
⮚ Use time- and date-stamped audit trails to record all actions
• Original: all data must be recorded and stored in their original form
⮚ Be aware of data and metadata on stand-alone instruments, e.g. UV/Vis, LC-MS, MRI, …
• Accurate: Data are correct, truthful, valid, and reliable
⮚ Calibrate and maintain equipment, validate all analytical methods and processes
⮚ Implement a quality management system
GENERAL PRINCIPLES OF GOOD DATA MANAGEMENT
July 8th, 2021
MOBILE CORONA DIAGNOSTIC LAB | Diagnostic Methods and Data Management slide 6
• Records and documentation must allow the full reconstitution of all processes and activities
• Management governance:
o Ensure the integrity of all personnel, ensure that no commercial, political or financial pressures are extorted
o Allocate adequate human and technical resources
• Quality audits ensure an effective quality control
o Track invalid and aberrant data to reveal problems in procedures
o Review audit trails to prevent incorrect processing of data
• Manage your record-keeping system
o Restrict the user access rights to control data access
o Review and update systems as necessary
• Risk management helps to ensure good data management
o Have control strategies to ensure the integrity of your data and protocols to handle errors and discrepancies
THE DATA LIFECYCLE
July 8th, 2021
MOBILE CORONA DIAGNOSTIC LAB | Diagnostic Methods and Data Management slide 7
• Collection and recording
o Verify critical data (e.g. patient ID) by a second person
o Apply risk management strategies to protect critical data
• Processing
o Should be objective, free from bias and only based on validated and verified protocols
o Use established standards or reference materials to account for instrument variabilities
• Data review and reporting
o Take into consideration all data, including atypical and suspect data
o Continuously monitor your process to enhance the efficacy, quality and safety of the process
• Retention and retrieval
o Do backups and securely archive electronical data as well as all metadata
o Also check for metadata in separate folders and system logs
July 8th, 2021
MOBILE CORONA DIAGNOSTIC LAB | Diagnostic Methods and Data Management slide 8

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Data Management.pdf

  • 1. MOBILE CORONA DIAGNOSTIC LAB DATA MANAGEMENT Leo Sprengel
  • 2. WHAT IS DATA MANAGEMENT? July 8th, 2021 MOBILE CORONA DIAGNOSTIC LAB | Diagnostic Methods and Data Management slide 2 • Ensures that data are continuously of the same quality • Regulations include sharing, preservation, access and reusage of data • Data must allow a full and complete reconstitution and evaluation of a process ⮚ Includes original records, source data, metadata and all subsequent transformations Data OBTAINED from patients • Name, address • Birthdate • Contact information • … Data PRODUCED for patients • SARS-CoV-2 test result • RT-LAMP picture of sample • RT-qPCR raw data • RNA extraction record
  • 3. HOW DO WE ENSURE GOOD DATA MANAGEMENT? July 8th, 2021 MOBILE CORONA DIAGNOSTIC LAB | Diagnostic Methods and Data Management slide 3 • Continuously monitor processes to ensure adequate quality of resources • Ensure proper infrastructure: o maintenance of buildings, equipment and systems; provide power and water for the lab o Training of personnel in good documentation practices and the ALCOA principles • Apply risk management to assure product quality and validity of data o Monitor arising problems to be aware of possible data integrity risks o Set realistic and achievable expectations based on the capabilities of a method and the staff • Use double-verification routines for important data
  • 4. DATA INTEGRITY July 8th, 2021 MOBILE CORONA DIAGNOSTIC LAB | Diagnostic Methods and Data Management slide 4 • Ensure that the collection of data is complete, consistent and accurate ⮚ Thorough and gapless end-to-end documentation of every process • Protect data from modifications, manipulation and deletion or loss • Use audit trails to monitor any alterations on original electronic records o Using individual user accounts allows tracing of individual activities o Document user IDs using an electronic time- and date-stamp o Track the generation, modification and deletion of data (who, what, when, why)
  • 5. THE ALCOA CONCEPT FOR DATA DOCUMENTATION July 8th, 2021 MOBILE CORONA DIAGNOSTIC LAB | Diagnostic Methods and Data Management slide 5 • Attributable: all recorded information can be traced back to an individual person ⮚ Use unique user accounts to link individuals to the creation and modification of data ⮚ Work with electronic signatures • Legible, traceable and permanent: data have to be understandable and reproducible ⮚ Do backups and use secure electronic archives • Contemporaneous: Data have to be recorded at the time they are generated ⮚ Use time- and date-stamped audit trails to record all actions • Original: all data must be recorded and stored in their original form ⮚ Be aware of data and metadata on stand-alone instruments, e.g. UV/Vis, LC-MS, MRI, … • Accurate: Data are correct, truthful, valid, and reliable ⮚ Calibrate and maintain equipment, validate all analytical methods and processes ⮚ Implement a quality management system
  • 6. GENERAL PRINCIPLES OF GOOD DATA MANAGEMENT July 8th, 2021 MOBILE CORONA DIAGNOSTIC LAB | Diagnostic Methods and Data Management slide 6 • Records and documentation must allow the full reconstitution of all processes and activities • Management governance: o Ensure the integrity of all personnel, ensure that no commercial, political or financial pressures are extorted o Allocate adequate human and technical resources • Quality audits ensure an effective quality control o Track invalid and aberrant data to reveal problems in procedures o Review audit trails to prevent incorrect processing of data • Manage your record-keeping system o Restrict the user access rights to control data access o Review and update systems as necessary • Risk management helps to ensure good data management o Have control strategies to ensure the integrity of your data and protocols to handle errors and discrepancies
  • 7. THE DATA LIFECYCLE July 8th, 2021 MOBILE CORONA DIAGNOSTIC LAB | Diagnostic Methods and Data Management slide 7 • Collection and recording o Verify critical data (e.g. patient ID) by a second person o Apply risk management strategies to protect critical data • Processing o Should be objective, free from bias and only based on validated and verified protocols o Use established standards or reference materials to account for instrument variabilities • Data review and reporting o Take into consideration all data, including atypical and suspect data o Continuously monitor your process to enhance the efficacy, quality and safety of the process • Retention and retrieval o Do backups and securely archive electronical data as well as all metadata o Also check for metadata in separate folders and system logs
  • 8. July 8th, 2021 MOBILE CORONA DIAGNOSTIC LAB | Diagnostic Methods and Data Management slide 8