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Data
Management
2
Data Management Practices
RESPONSIBLE CONDUCT IN RESEARCH
3
Data Management Practices
Data Ownership
Who owns it depends on ….
• Funding source
 Government, private company or philanthropic organization
 Grant (Bayh-Dole) versus contract
• Research institution?
 Grants awarded to institution, not individual
 Institution responsible for budget, regulatory compliance,
contractual obligations, data management
 To ensure compliance, institution exerts ownership
RESPONSIBLE CONDUCT IN RESEARCH
4
Data Management Practices
Data Ownership
• Maybe the data source
 Countries with tropical rain forests
 Individuals with rare diseases
 Entities with unique databases
RESPONSIBLE CONDUCT IN RESEARCH
5
Data Management Practices
Data Ownership
Work out in advance -
• Who owns the data I am collecting?
• What rights do I have to publish the data?
• Does collecting these data impose any obligations on me?
Preferably in writing.
May need institutional approval!
RESPONSIBLE CONDUCT IN RESEARCH
6
Data Management Practices
Data Collection
Four generic but important considerations -
1. Use appropriate and reliable methods
2. Pay attention to detail
3. Obtain authorizations
Human / animal subjects, biohazards, copyrighted material, etc
4. Keep permanent record regardless of format
What was done / observed / achieved
RESPONSIBLE CONDUCT IN RESEARCH
7
Data Management Practices
Data Collection
Two basic rules to record keeping -
1. Enter data / evidence into numbered, bound notebook
• Date, order of data collection, results achieved
• No binders or files, changes without date / reason
2. Electronic evidence should be validated to assure it was
recorded on a particular date and not changed later
• ???
RESPONSIBLE CONDUCT IN RESEARCH
8
Data Management Practices
Data Protection
Data, as currency of research, represents investment
It may be needed later:
• To confirm findings or to establish priority
• Or, for re-analysis by others
It should be stored in a safe place and backed up if on
computers
Confidentiality agreements must be honored!
RESPONSIBLE CONDUCT IN RESEARCH
9
Data Management Practices
Data Protection
Data, as currency of research, represents investment
Data should be preserved – but for how long?
At least 3-7 years?
Research data should be shared – but when and with whom??
Preliminary data – not unless …
Confirmed / validated data – not before publication
Keeping data confidential prior to publication – OK
Once published, all relevant information should be available
RESPONSIBLE CONDUCT IN RESEARCH
10
Data Management Practices
Data Protection
Future considerations.
Data complexity – e.g. the human genome project
How to store efficiently and inexpensively?
Control – e.g. large projects
Can researchers participating in a large, multi-site study publish
their own data, or are they constrained?
National security
Freedom versus fears of terrorists, enemy nations, etc
RESPONSIBLE CONDUCT IN RESEARCH

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RCR 4 Data Management Introduction System Information

  • 3. 3 Data Management Practices Data Ownership Who owns it depends on …. • Funding source  Government, private company or philanthropic organization  Grant (Bayh-Dole) versus contract • Research institution?  Grants awarded to institution, not individual  Institution responsible for budget, regulatory compliance, contractual obligations, data management  To ensure compliance, institution exerts ownership RESPONSIBLE CONDUCT IN RESEARCH
  • 4. 4 Data Management Practices Data Ownership • Maybe the data source  Countries with tropical rain forests  Individuals with rare diseases  Entities with unique databases RESPONSIBLE CONDUCT IN RESEARCH
  • 5. 5 Data Management Practices Data Ownership Work out in advance - • Who owns the data I am collecting? • What rights do I have to publish the data? • Does collecting these data impose any obligations on me? Preferably in writing. May need institutional approval! RESPONSIBLE CONDUCT IN RESEARCH
  • 6. 6 Data Management Practices Data Collection Four generic but important considerations - 1. Use appropriate and reliable methods 2. Pay attention to detail 3. Obtain authorizations Human / animal subjects, biohazards, copyrighted material, etc 4. Keep permanent record regardless of format What was done / observed / achieved RESPONSIBLE CONDUCT IN RESEARCH
  • 7. 7 Data Management Practices Data Collection Two basic rules to record keeping - 1. Enter data / evidence into numbered, bound notebook • Date, order of data collection, results achieved • No binders or files, changes without date / reason 2. Electronic evidence should be validated to assure it was recorded on a particular date and not changed later • ??? RESPONSIBLE CONDUCT IN RESEARCH
  • 8. 8 Data Management Practices Data Protection Data, as currency of research, represents investment It may be needed later: • To confirm findings or to establish priority • Or, for re-analysis by others It should be stored in a safe place and backed up if on computers Confidentiality agreements must be honored! RESPONSIBLE CONDUCT IN RESEARCH
  • 9. 9 Data Management Practices Data Protection Data, as currency of research, represents investment Data should be preserved – but for how long? At least 3-7 years? Research data should be shared – but when and with whom?? Preliminary data – not unless … Confirmed / validated data – not before publication Keeping data confidential prior to publication – OK Once published, all relevant information should be available RESPONSIBLE CONDUCT IN RESEARCH
  • 10. 10 Data Management Practices Data Protection Future considerations. Data complexity – e.g. the human genome project How to store efficiently and inexpensively? Control – e.g. large projects Can researchers participating in a large, multi-site study publish their own data, or are they constrained? National security Freedom versus fears of terrorists, enemy nations, etc RESPONSIBLE CONDUCT IN RESEARCH