Research Data Management - online version (AMC PhD Program)

Information about the course Research Data Management.

Go to application form.


Adequate research data management is at the basis of research quality, integrity and reproducibility. A researcher should be in control of his or her data through the entire research data life cycle: from study preparation and data collection, data processing and data analysis, to publishing and archiving. Both Amsterdam UMC and funding agencies request a data management plan and publishers increasingly require data to be available. But, what is actually a data management plan? How to enhance the quality of data collected during research? And how to share a dataset?

This course addresses the broader concept of Research Data Management through the biomedical research data lifecycle. Participants will be guided through current concepts, working procedures and tooling on data management. You will learn how to define, collect and process your data in order to deliver a reliable data set for data analysis and future reuse.


    E-learning and (optional) workshops:

    The e-learning consists of 8 compulsory modules.

    The workshops are optional and are composed of a basic and an optional module. The e-learning needs to be completed before participating in the workshops..

    The basic workshop session is mandatory for all those participating in the workshops.. The optional workshop sessions focusses on clinical data and are optional.

      Scheduled dates:

      E-learning (self-study) can be started at any date. After application we will send you a link to the e-learning.


      • November 16 and 17, 2020
      • February 15 and 16, 2021
      • May 31 and June 1, 2021



        • What is research data management, FAIR principles.
        • AMC procedures on research data management.
        • The Research data lifecycle.
        • Study preparation: privacy aspects, reuse of data, data capture systems, data storage
        • Data collection: data validation, change control
        • Processing & analysis: version control, statistical analysis plan
        • Writing & publishing: linking data to a publication
        • Archiving & open data: tooling, open/restricted access

        Basic workshop session:

        • E-learning: questions and answers.
        • Demos of finding existing data and samples collections.
        • Practice: FAIR data management.
        • Practice: write your own Data management plan.

        Optional workshop sessions on clinical data:

        • Practice: write your own Data management plan.
        • Practice: write a Statistical Analysis Plan for a case study.
        • Practice on data validation and management in the statistical environment (SPSS)
        • Practice on preparing the database for statistical analysis (SPSS)

        Target Audience:

        The e-learning and basic workshop session address topics of interest to any researcher that deals with data, while the optional workshop sessions on clinical data targets clinical researchers. We advise to take the course in the beginning of your PhD trajectory.


        To qualify for the certificate, a participant must complete the e-learning and attend all lectures of the selected workshop session(s). Attendance at the workshop sessions will be registered.

        Study load:

        3-4 hours for the e-learning. 4 hours for the basic workshop session (including homework) and 6 additional hours for the workshops sessions on clinical data.

        Number of participants:

        E-learning: no limit / workshops: 25 participants.


        No charge for registered AMC PhD candidates.

        Course Coordinators:

        Dr. R.A. Scholte / Clinical Research Unit / / tel. +31 (0)20 - 566 7649.

        More information:

        From the course coordinator or AMC Graduate School / / E2-172 / tel. +31 (0)20 - 566 4618.


        AMC Graduate School
        Tel: +31 (0)20 - 566 3108