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Einleitung -- Männlichkeitenforschung -- Biographieforschung -- Kontextualisierung -- Forschungsprozess -- Falldarstellung Temisgen -- Falldarstellung John -- Falldarstellung Tesfa -- Biographische Konfigurationen von Männlichkeiten -- Schlussbetrachtungen.

In der bisherigen Geschlechterforschung wird Flucht als eine Marginalisierung von Männlichkeit beschrieben. Meist unberücksichtigt bleibt allerdings das Leben der Männer vor der Flucht. Mit Hilfe einer prozessorientierten Perspektive wird anhand der Lebensgeschichte eines aus Eritrea geflüchteten Mannes ein Typus von Männlichkeit formuliert, an welchem die Emergenz, die Marginalisierung vor der Flucht sowie die mehrfache Marginalisierung einer bildungsorientierten Männlichkeit während und nach der Flucht sichtbar gemacht werden können. Ferner wird dabei gezeigt, welche besondere Rolle Vulnerabilität in diesem Prozess spielt. Mit den Ergebnissen hilft der Artikel, ein differenziertes Verständnis der Marginalisierung von Männlichkeit zu entwickeln.

IntroductionUsers of linked data require access to an increasing number of heterogeneous datasets from diverse domains, often held in different secure research data environments, especially for multi-jurisdictional projects. Under the traditional model of data access, projects are required to transfer and harmonise the necessary datasets in one central location before analysis can be undertaken, increasing the time required for data acquisition and preparation.
Objectives and ApproachIn a federated data environment, analysts query distributed datasets held in a network of multiple secure data environments via a central virtual database, without requiring the data to move. Instead, the data is analysed as close as possible to its storage location, minimising the amount of data transfers and giving data custodians more control over their data.
This symposium explores the challenges and opportunities of establishing and operating a distributed network of federated secure research data environments. Leading organisations operating data platforms in various jurisdictions present for 15 minutes each the current capabilities of their platforms, the landscape of data environments in their jurisdictions and potential approaches to key questions such as:

Harmonising/federating data sources
Data security
Data governance
Discoverability/metadata
Performance

The audience is the then invited to participate in discussing the topic for the remaining 30 minutes.
The following individuals have been approached to represent their organisations in this symposium:

Professor David Ford, Swansea University: UK Secure eResearch Platform (UK SErP)
Charles Victor, Institute for Clinical Evaluative Sciences (ICES): ICES Data & Analytic Virtual Environment (IDAVE)
Professor Louisa Jorm, Centre for Big Data Research in Health, University of New South Wales: E-Research Institutional Cloud Architecture (ERICA)
Professor Kimberlyn McGrail, Population Data BC: Secure Research Environment (SRE)

Results / Conclusion / ImplicationsThis symposium will help formulate requirements for and barriers to distributed networks of federated secure research data environments, and create a foundation for data analytics across multiple platforms.

IntroductionWith the explosion in data being collected and made available for research, linkage units receive an increasing amount of data. At the same time, researchers also expect access to more current data. This increase in the influx of data can create resource constraints for linkage units, which need to mobilise more staff time for data processing, as well as data custodians, who are required to provide data updates more frequently.
Objectives and ApproachSA NT DataLink has designed the Secure Automated File Exchange (SAFE), in collaboration with the University of South Australia. SAFE provides a framework to safely transfer encrypted data from custodians into SA NT DataLink's systems. A given custodian uses one private key to send personally identifying data via Secure File Transfer Protocol (SFTP). This data flows via the university's IT infrastructure, where it is checked for encryption, directly into a Demilitarised Zone (DMZ) within SA NT DataLink's Data Linkage Unit's (DLU) highly protected environment. The same custodian then uses a separate private key to provide the corresponding encrypted anonymised content data, again via SFTP. Given the less sensitive nature of this data type, it is deposited on secure university on-site storage, from where it is manually transferred by Data Integration Unit (DIU) staff to SA NT DataLink's Custodian Controlled Data repository (CCDR).
ResultsSA NT DataLink considers implementing SAFE with one data provider as a trial project. After successful testing, a rollout to other data custodians is possible. In parallel, alternative technical solutions for automated data transfers are being evaluated.
Conclusion / ImplicationsAutomated data transfer solutions will reduce effort by data custodians to send data and for linkage units to receive and process data updates. Moreover, by limiting manual intervention, they will limit vulnerability to data privacy breaches and the risk of introducing errors into the data. However, data workflow automation is dependent on data provider requirements and the availability of resources to process received data.

Zugänge der Flucht- und der Männlichkeitsforschung werden im deutschsprachigen Raum noch selten miteinander in Verbindung gebracht. In dieser Einleitung zum Themenheft Flucht und Männlichkeiten geben wir einen Überblick über die historische Genese der beiden Forschungsfelder, bevor wir diskutieren, wie in den letzten zwanzig Jahren zunehmend ein Zusammendenken von Migration, Flucht und Männlichkeit stattgefunden hat. Davon ausgehend werden die verschiedenen Artikel im Themenheft mit ihren besonderen Perspektiven vorgestellt, und zusammenfassend wird eruiert, welche Erkenntnisse über den Zusammenhang von Männlichkeit und Flucht aus diesen Beiträgen gewonnen werden können.