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Data definition

Aim To properly document variables. Proper documentation ensures that co-researchers can use the data and that the study can be properly archived at a later stage. Requirements Each variable needs to be checked on the presence of variable labels,…

https://aph-qualityhandbook.org/set-up-conduct/process-analyze-data/3-2-quantitative-research/3-2-1-data-processing/data-definition/

Data cleaning and transformation

assessment of such a change in RDM F04 Change Management (intranet) to ensure you show careful processing with research integrity Responsibilities Executing researcher: Keep the original file and make it read-only, so no alterations can be made.…

https://aph-qualityhandbook.org/set-up-conduct/process-analyze-data/3-2-quantitative-research/3-2-1-data-processing/data-cleaning-and-transformation/

Data entry accuracy

and out-of-range values. The Research Data Management department offers several courses on Research Data Management to discuss requirements and practical implications, see Research data management (amsterdamumc.org) or course information on Intranet.

https://aph-qualityhandbook.org/set-up-conduct/process-analyze-data/3-2-quantitative-research/3-2-1-data-processing/data-entry-accuracy/

Handling missing data

Aim To give researchers information and a structured guideline for handling missing data Requirements Clear documentation of the decisions that were made regarding handling missing data. If data were imputed, imputation methods are clearly…

https://aph-qualityhandbook.org/set-up-conduct/process-analyze-data/3-2-quantitative-research/3-2-2-data-analysis/handling-missing-data/

Data management plan

Aim To ensure data management that adheres to the FAIR (Findable, Accessible, Interoperable, Reusable) principles. Requirements A data management plan according to the FAIR principles, with incorporation of data management considerations to meet…

https://aph-qualityhandbook.org/set-up-conduct/methods-data-collection/2-2-quantitative-research/2-2-1-preparation/data-management-plan/

Data collection

Bakker, M. et al. (2015) Need and value of case management in multidisciplinary ALS care: A qualitative study on the perspectives of patients, spousal caregivers and professionals. Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration,…

https://aph-qualityhandbook.org/set-up-conduct/methods-data-collection/2-1-qualitative-research/data-collection/

Data entry methods

use of the standard programs offered by the Data Management department (VUmc)/RDM (AMC). The advice is, if possible, to make maximum use of online data collection tools. This saves data entry time and generally improves the quality of the data, for…

https://aph-qualityhandbook.org/set-up-conduct/methods-data-collection/2-2-quantitative-research/2-2-1-preparation/data-entry-methods/

Managing data flow

the administrative database (including the Data Management department); Test documentation: a filled in template for every person who tested the administrative database within the team and an independent person/party where applicable A copy of the…

https://aph-qualityhandbook.org/set-up-conduct/methods-data-collection/2-2-quantitative-research/2-2-5-data-collection/managing-data-flow/

Recruiting & training data collectors

Aim To secure accurate data collection by recruiting and training data collectors. Requirements Qualification list for recruiting data collectors; Study protocol, including study goals and information about tests/questionnaires; Standard operating…

https://aph-qualityhandbook.org/set-up-conduct/methods-data-collection/2-2-quantitative-research/2-2-1-preparation/recruiting-training-data-collectors/

Recruiting & training data entry clerks

Aim To secure accurate data entry by recruiting and training data entry clerks. Requirements Qualification list for recruiting data entry clerks Training protocol including requirements regarding intra- and inter-observer agreement Training sessions…

https://aph-qualityhandbook.org/set-up-conduct/methods-data-collection/2-2-quantitative-research/2-2-1-preparation/recruiting-training-data-entry-clerks/

Supporting & monitoring data collectors

Aim To secure accurate data collection by supporting data entry staff and monitoring the data collected. Please note, that there are stricter requirements (trial master file and eCRF e.g.) for Clinical Trials with pharmaceuticals and Medical devices…

https://aph-qualityhandbook.org/set-up-conduct/methods-data-collection/2-2-quantitative-research/2-2-5-data-collection/supporting-monitoring-data-collectors/

Supporting & monitoring data entry clerks

Aim To secure high quality of data by accurate data entry, by supporting the data entry clerks and monitor their data. Requirements Standardized data entry procedures, including how to cope with missing data; Quality monitoring of first set of data…

https://aph-qualityhandbook.org/set-up-conduct/methods-data-collection/2-2-quantitative-research/2-2-5-data-collection/supporting-monitoring-data-entry-clerks/

Data analysis

Aim To provide the basics of qualitative data analysis and provide relevant literature for more information on qualitative data analysis. Definition Qualitative research produces large amounts of textual data in the forms of transcripts and…

https://aph-qualityhandbook.org/set-up-conduct/process-analyze-data/3-1-qualitative-research/data-analysis/

Initial data analysis

Aim To get a first impression of the data: To get an impression of the distribution properties of the continuous variables and the numbers in the subgroups of the categorical variables; To analyze the association between exposure and outcome…

https://aph-qualityhandbook.org/set-up-conduct/process-analyze-data/3-2-quantitative-research/3-2-2-data-analysis/initial-data-analysis/

Data analysis documentation

Aim To ensure that the analyses can be properly reproduced Requirements Clear documentation of the data analysis in a log file (for example SPSS syntax, Do file in STATA, R script or Word file), to be able to reproduce the relevant data analyses.…

https://aph-qualityhandbook.org/set-up-conduct/process-analyze-data/3-2-quantitative-research/3-2-2-data-analysis/data-analysis-documentation/