Well, it really depends upon your research design, what theoretical framework you are working with, and specifically what research questions you have framed. If you would share a glimpse of your research question, it would be easier to answer/suggest.

This is way beyond tips and tricks from RG members. The methodology you adopt will be a critical part of your PhD. So

Priority 1 : engage with your supervisor. If s/he hasn't much experience with qualitative research, then request a co-supervisor who has experience.

Priority 2 : start reading up on how qualitative data are collected and analysed. Identify the theoretical framework that best suits your research question.

Depending on the amount of data you will be analysing, getting familiar with qualitative analysis software will also be necessary. Check out if there is a site license where you are. If not, consider Dedoose, which works out quite inexpensive for a single project over a relatively short time period.

I agree that you should base your choice on your research goals, and that you should examine several alternative options. That said, you still need a place to start, and I would recommend Braun and Clarke's (2006) thematic analysis because it is so widely used.

The guidance as per the following publications may further help:

• Anfara, V. A., Jr., Brown, K. M. and Mangione, T. L. (2002) Qualitative Analysis on Stage: Making the Research Process More Public, Educational Researcher, 31, 7, pp. 28-38.
• Attride-stirling, J. (2001) Thematic networks: an analytic tool for qualitative research, Qualitative Research, 1, 3, pp. 385-405.
• Bailey, J. (2008) First steps in qualitative data analysis: transcribing, Family practice, 25, 2, pp. 127-131.
• Basit, T. N. (2003) Manual or electronic? The role of coding in qualitative data analysis, Educational Research, 45, 2, pp. 143-154.
• Dey, I. (2005) Qualitative data analysis: A user-friendly guide for social scientists. New York: Routledge.
• Miles, M. B. and Huberman, A. M. (1994) Qualitative Data Analysis: An Expanded Sourcebook. 2nd edn. CA: Sage: Thousand Oaks.
• Schmidt, C. (2004) The analysis of semi-structured interviews, in Flick, U., von Kardorff, E. and Steinke (eds.) A companion to qualitative research. London: SAGE Publications Ltd, pp. 253-258.

Thanks Respected Madam for your valuable suggestion.

You can also consider what your theoretical or conceptual framework is. What are you looking to achieve in general to show with your found data.