[Connecting biobanks of large European cohorts (EU Project BBMRI-LPC)]

Infrastructuring European scientific integration: Heterogeneous meanings of the European biobanking infrastructure BBMRI-ERIC

While transnational research infrastructure projects long preceded the formal integration process that created the European Union, their advancement is an increasingly central part of EU research policy and of European integration in general. This paper analyses the Biobanking and Biomolecular Resources Research Infrastructure-European Research Infrastructure Consortium (BBMRI-ERIC) as a recent example of institutionalized scientific collaboration in Europe that has formally been established as part of EU science policy. BBMRI-ERIC, a network of European biobanks, is expected to contribute to both European science and European integration. Yet its achievements in these domains are interpreted differently by various actors involved. This paper draws on STS conceptualizations of infrastructures as relational, experimental, and promissory assemblages. These support the formulation of a working definition of research infrastructures that in turn helps to explore the heterogeneous meanings attributed to BBMRI-ERIC. The paper describes the creation of this distributed European research infrastructure, and divergent understandings of what it means for BBMRI-ERIC to be distributed, to be European and to be a research infrastructure. This analysis demonstrates how building a research infrastructure is also an effort to define what it means to be European-a process in which what is European about science and what science can do for Europe is continuously (re-)imagined, contested and negotiated.

Epidemiology in Germany-general development and personal experience

Did you ever hear about epidemiology in Germany? Starting from an epidemiological desert the discipline has grown remarkably, especially during the last 10-15 years: research institutes have been established, research funding has improved, multiple curriculae in Epidemiology and Public Health are offered. This increase has been quite steep, and now the epidemiological infrastructure is much better. Several medium-sized and even big population cohorts are ongoing, and the number and quality of publications from German epidemiologists has reached a respectable level. My own career in epidemiology started in the field of environmental health. After German reunification I concentrated for many years on environmental problems in East Germany and observed the health benefits after improvement of the situation. Later, I concentrated on population-based cohorts in newborns (GINI/LISA) and adults (KORA, German National Cohort), and on biobanking. This Essay describes the development in Germany after worldwar 2, illustrated by examples of research results and build-up of epidemiological infractructures worth mentioning.

Orchestrating differential data access for translational research: a pilot implementation

Background

Translational researchers need robust IT solutions to access a range of data types, varying from public data sets to pseudonymised patient information with restricted access, provided on a case by case basis. The reason for this complication is that managing access policies to sensitive human data must consider issues of data confidentiality, identifiability, extent of consent, and data usage agreements. All these ethical, social and legal aspects must be incorporated into a differential management of restricted access to sensitive data.

Methods

In this paper we present a pilot system that uses several common open source software components in a novel combination to coordinate access to heterogeneous biomedical data repositories containing open data (open access) as well as sensitive data (restricted access) in the domain of biobanking and biosample research. Our approach is based on a digital identity federation and software to manage resource access entitlements.

Results

Open source software components were assembled and configured in such a way that they allow for different ways of restricted access according to the protection needs of the data. We have tested the resulting pilot infrastructure and assessed its performance, feasibility and reproducibility.

Conclusions

Common open source software components are sufficient to allow for the creation of a secure system for differential access to sensitive data. The implementation of this system is exemplary for researchers facing similar requirements for restricted access data. Here we report experience and lessons learnt of our pilot implementation, which may be useful for similar use cases. Furthermore, we discuss possible extensions for more complex scenarios.