Importing Data in NVivo 10: A Game-Changer for Researchers

NVivo 10, released by QSR International in 2012, has become a popular choice among researchers due to its wide range of data importation capabilities. This software is particularly attractive to those who use various methods of data collection, including qualitative research.

One of the key characteristics of qualitative research is the ability to organize data around themes. NVivo 10 makes this process easier by allowing users to import bibliographic references from EndNote, Mendeley, RefWorks, and Zotero, which can help manage literature reviews. Another exciting feature in version 10 is the ability to directly import data from Web pages, social media (Facebook, LinkedIn, and Twitter), YouTube, and SurveyMonkey.

In addition to these online sources, NVivo 10 also allows users to import various file formats, including audio, photo, and video files, Excel spreadsheets, Access databases, docx, PDF, RTF, and plain text. This versatility makes it easy for researchers to collect and analyze diverse data types.

Qualitative research often involves collecting information from a wide range of sources, including interviews, field notes, video recordings, images, documents, press clippings, and photographs. NVivo 10 provides an intuitive interface that allows researchers to easily organize and analyze these varied data types.

The task ribbon in NVivo 10 offers quick access to common tasks and includes a 'wizard' that can help run queries and create reports. The software's workspace is designed to resemble the Microsoft Office interface, with a familiar layout that includes folders on the left and a project outline above and detailed documents below.

While NVivo 10 does offer some automatic coding functions, it ultimately requires human intervention to ensure accurate analysis. This may be a relief for researchers who prefer to have more control over the coding process.

In conclusion, NVivo 10 is an excellent choice for researchers conducting qualitative research, particularly in pharmacy education where this type of research is gaining popularity. Its user-friendly interface and wide range of data importation capabilities make it an indispensable tool for organizing and analyzing complex data sets.

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