AGAH-Workshop – Clinical Data Management in Early Phase Trials -Workshop is full-

5.12.2017 in Frankfurt

Conference Title

-Workshop is full-

An Introduction into the Principles and Strategies for PK/PD and BA/BE Studies in Healthy Subjects and Patients.


Also in early phase trials the ultimate goal of Clinical Data Management is to assure that data structure, data collection and quality as well as data analysis adequately support conclusions to be drawn from clinical research. In the end high-quality data should be accurate, suitable for statistical analysis and the structure should follow internationally accepted standards.

Quality by design in clinical data management means a structured interplay of all relevant core documents including the trial protocol, CRF, DMP/DVP/SAP as well as the data base itself. How to ensure this already in early clinical development? This workshop gives an introduction into the basic principles of clinical data management starting from the trial protocol and ending with the completed data base. Participants will train the knowledge communicated in a practical example together with an experienced team of data managers.

Furthermore, the workshop will offer a first insight into CDISC principles, how this helps to systematically reach a high-quality data structure and in how far this is of relevance for submission procedures. The workshop has been developed for clinical investigators, project leaders and project managers, monitors and also for phase-I/II experienced study nurses with a certain IT-enthusiasm who want to better understand the principles of a good-quality data management and how they can contribute already in the planning phase to set-up a data structure following international principles. It covers questions relevant for industry-sponsored studies as well as IITs.

Barbara Schug
President of AGAH e. V.





Barbara Schug, Oberursel/Germany


Introduction into the workshop: from protocol writing to data management – how to bridge the gap?

Relevance of study type; Interplay of persons involved from design development to practical performance and evaluation;

specificities of early phase trials; relevance of adequate overarching processes and quality control procedures

Barbara Schug, Oberursel/Germany


Interaction between trial protocol and CRF – how to specify precisely the data to be assessed?

What do you have to consider while writing the clinical trial protocol with regard to CRF design?

How to translate the clinical trial protocol into the CRF; Different types of CRF structures; Points to consider during

CRF set-up: accurate questions, clearly specified CRF entry fields, logical data collection; how to realize “ease for use”

Juliana Brudel, Erfurt/Germany


Structured interplay of all relevant core documents including the trial protocol, DMP and DVP

Description of responsibilities and tasks in DMP with regard to information flow between involved parties (e. g. for PK analysis, SAE reconciliation) and data transfers from different sources to the target data base, including the medical coding process. Data cleaning (CRF related) and validation (electronic data transfers) processes based on DVP.

Manfred Wargenau, Düsseldorf/Germany


Introduction into CDISC standards

An introduction into basic principles

Dagmar Kottig-Roth, Darmstadt/Germany


Practical Exercise

Development of CRF module for different data types; consideration of data standards for data base structure;

development of mock tables for statistical evaluation

Juliana Brudel, Stephan Herrmann, Erfurt/Germany


Data Standards for clinical data: preparation of CDISC data for submissions to regulatory authorities

Understanding regulatory review processes of CDISC data depending on regulatory authorities and kind of trials;

Regulatory review environment: How are CDISC data processed at the agencies and what are standard review processes for CDISC data; Relevance of traceability from data collection to analysis; What can we learn from the regulatory review process for the data standards collection

Dagmar Kottig-Roth, Darmstadt/Germany

17:00Summarising discussion
17:15End of Workshop

Programme Committee / Speaker

  • Juliana Brudel
    Head Data Management at SocraMetrics GmbH, Erfurt, Germany
  • Stephan Herrmann
    Head Electronic Data Capture at SocraMetrics GmbH, Erfurt
  • Dagmar Kottig-Roth
    Principal Data Standards and Governance Manager, Global Clinical Data Sciences at Merck KGaA, Darmstadt, Germany
  • Barbara Schug
    Managing Director at SocraTec R&D GmbH, Oberursel and at SocraMetrics GmbH, Erfurt, Germany
  • Manfred Wargenau
    CEO, Principal Statistician and Pharmacokineticist at M.A.R.C.O. GmbH & Co. KG, Düsseldorf, Germany

  • Torsten Petsching
    Team Leader Clinical Data Standards Group at Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach, Germany


Attendance Fee

450€Non Member

Member of AGAH or of DGKliPha or Junior Scientist up to the age of 30

The participation fee is per person. Please note, according to §4 para 22 German turnover tax law, registration and workshop fees are exempt from VAT. Registration fees are charged and collected on behalf of AGAH e. V. All bookings are subject to change

Registration Deadline: November 28, 2017

A certification (CME – continuing medical education points) of the medical association Hessen is requested.

Workshop Venue

Das Spenerhaus
Hotel und Tagungszentrum am Dominikanerkloster
Dominikanergasse 5
60311 Frankfurt am Main/Germany

Contact & Registration

CSi Hamburg GmbH
Goernestraße 30
20249 Hamburg/Germany
Phone: +49 40 30770300
Fax: +49 40 30770301
Email: agah-meetings ( a t )

-Workshop is full-


Arbeitsgemeinschaft für angewandte Humanpharmakologie (AGAH) e.V.
Geschäftsstelle: Goernestraße 30
20249 Hamburg/Germany
Phone: +49 170 7844438
Email: info ( a t )
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