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Novice researchers reported developing basic cognitive skills, such as mastering data-collection techniques or gaining greater understanding of the process of scientific research, similar to the level of mastery of novice researchers described by Feldman et al. (2009).
As shown in Table 6, experienced students in interviews were more likely to report gaining higher-level scientific skills, while novice students were more likely to discuss gains in mastering data-collection techniques.
The pre-publication history for this paper can be accessed here: http://www.biomedcentral.com/1472-6947/12/82/publication publication has been produced in the context of the EU Collaborative Project "DICODE - Mastering Data-Intensive Collaboration and Decision" which is co-funded by the European Commission under the contract FP7-ICT-257184.
The authors also thank Professor Anders Engeland, Senior researcher Randi Selmer, Data manager Knut Hansen and Data analyst Ilene Brill for helping us to merge the different surveys and to prepare the master data file and associate Professor Tonje Braaten for her assistance in statistical analysis.
It is the master data.
These data were defined as the master data.
From this master data, INPS extracts two datasets.
The expectations for the master data asset availability are defined in terms of synchronization between the client applications and the master data set as well as between the components of the master data set itself.
The chapter provides an overview of the goals in master data management in the context of data warehousing, its drivers and compares operational and analytical master data.
This chapter introduces basic architectures for master data management and shows how to deal with master data using Microsoft Master Data Services MDSS), a product included in Microsoft SQL Server.
The value of master data management (MDM) does not lie solely in the integration of data.
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