Rahmenprogramm des BMBF zur Förderung der empirischen Bildungsforschung

Literaturdatenbank

Vollanzeige

    Pfeil auf den Link... Verfügbarkeit 
Autoren Skopek, Jan; Koberg, Tobias; Blossfeld, Hans-Peter  
Titel RemoteNEPS. An innovative research environment.  
URL https://doi.org/10.1007/978-3-658-11994-2_34  
URN, persistent 10.1007/978-3-658-11994-2_34  
Erscheinungsjahr 2016  
Sammelwerk Blossfeld, Hans-Peter (Hrsg.); Jutta, von Maurice (Hrsg.); Bayer, Michael (Hrsg.); Skopek, Jan (Hrsg.): Methodological issues of longitudinal surveys.  
Seitenzahl S. 611-626  
Verlag Wiesbaden: Springer VS  
ISBN 978-3-658-11992-8; 978-3-658-11994-2  
Dokumenttyp Sammelwerksbeitrag; gedruckt; online  
Beigaben Literaturangaben  
Sprache englisch  
Forschungsschwerpunkt Bildungspanel (NEPS)  
Schlagwörter Zugang; Daten; Sensibilität; System  
Abstract This chapter provides an introduction to conceptual, technical, and workflow issues of the National Educational Panel Study’s remote-data-access solution. We illustrate that RemoteNEPS is capable not only of providing safe and highly controlled access to sensitive individual-level data, but moreover of offering an innovative, user-oriented, and very powerful research facility for analyzing rich and complex NEPS data. We present crucial conceptual aspects in the design of the NEPS and reveal how we put these aspects into practice. As we show, using RemoteNEPS is very simple. Contracted researchers need nothing more than web access and a (properly configured) standard web browser. It must be noted that running a remote-access site in this dimension is costly; however, the NEPS provides this service at no charge to its users. Importantly, our discussion on RemoteNEPS is not merely a conceptual blueprint; rather, it documents a system that has been in productive use for almost four years and that serves more than 200 users. RemoteNEPS is undoubtedly blazing the trail to the effective employment of remote access in the German context of research-data dissemination. Still, there are manifold ways in which RemoteNEPS could be improved in the future. We discuss the most promising aspects in our conclusion. (Orig.).  
Förderkennzeichen 01GJ0888