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Tallinn University of Technology


Data Summary


1. Data summary - questions, guidance, sample

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  • Biomarker Data will be saved in a .csv format.
  • PCR data will be saved in .csv format
  • Questionnaire data will be saved in SAS format.  
  • Data on prescribing practices before and after pilot trial will be managed in SAS (file format: .sas7bdat) and analyzed in STATA (file format: .dta).
  • Interview responses will be saved in Nvivo .nvp format.
  • Survey responses will be exported from REDCap to .csv format.
  • Register data will be received in spreadsheet format and will be converted to .tsv format before analysis.
  • Sequencing data will be in .fastq format.
  • Flow cytometry data will be saved in .fcs format.
  • Confocal images will be saved in .jpeg format.
  • Proteome raw data will be saved in .raw files
  • Raw methylation data will be in .idat format.
  • Raw genetic variation data will be in .vcf format.


FAIR data


2. Making data findable, including provisions for metadata - questions, guidance, sample

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  • Data will be quality‐checked at collection/generation by validation against controls or publicly available databases.
  • RNA seq data will be quality controlled in terms of sequence quality, sequencing depth, reads duplication rates (clonal reads), alignment quality, nucleotide composition bias, PCR bias, GC bias, rRNA and mitochondria contamination, coverage uniformity. Only high‐quality data will be included in the subsequent analysis.
  • The register holder assures data quality in terms of completeness and correctness of registration.
  • The transcribed interview material will be coded independently by two researchers.
  • Images will be inspected for artifacts and the results will be recorded in a spreadsheet file.
  • Mass spectrometry results will be quality‐checked for contamination and mass accuracy.
  • Register data will be quality controlled according to a procedure established in our group (REF).
  • Data will be checked at the point of entry in REDCap or SMART‐TRIAL for double entries, completeness, missing data and unreasonable values.  
  • To assure data quality, the study will be conducted according to the COREQ guidelines for qualitative research.


Allocation of resources


6. Allocation of resources - questions, guidance, sample

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Guidance - The management of other research outputs that are generated/re-used in the project (e.g., software, models, new materials) should be discussed and, when relevant, their compliance to the FAIR principles should be detailed.


Data security


7. Data security - questions, guidance, sample

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  • Data saved in XXX servers is backed up.  
  • Access to data saved in XXX servers requires user authentication with password.
  • Access to servers is permitted only when on TalTech premises or by VPN.
  • In OneDrive, it is possible to recover changed/deleted datasets.
  • We only work with pseudonymized data, with the key stored in a safety cabinet located at XXX (please specify location) and to which only XXX have access to (please specify the people that have access to it).
  • It has been judged that controlled access is not required for these data since the data do not contain personal information

 


Ethical aspects


8. Ethical aspects - questions, guidance, sample

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