1. Know your audience. You are not writing for yourself, nor are you writing for your professor. You are writing for specialists in your area who potentially know nothing of your data or proposals. 2. You’re writing a research paper, not a mystery novel. Your introduction should state the issues to be explored. The introduction should also clearly and plainly state your conclusions. 3. You’re doing science, not history. Don’t provide your personal history with respect to the project. Also, write in the present tense. 4. Don’t let your labor show. You may have slaved over your data in order to discover the patterns. This is immaterial to your readers. Present your patterns without fanfare. 5. Get the patterns out there fast . Data should be presented in a way that clearly brings out the patterns you have found. Schematics, timelines (if relevant), and summaries should be provided at any opportune juncture. 6. Provide clear signposts. Section headings should directly address the content of the section, both in terms of data and argumentation. For example, not "Data X", but "Data X show Y". 7. Repetition is a good thing. At the beginning of a section, remind your readers where we have been, and why we are now looking at such and such. 8. No page-flipping. If data are discussed again, remind your readers of the relevant patterns. Don't make them flip pages. 9. KATAM: keep acronyms to a minimum. If your ideas become sufficiently popular in the field, acronyms will be devised by others. In the meantime, use complete words to characterize your ideas. 10. Your scholarship is only as compelling as your ability to communicate your ideas effectively. Lack of written clarity indicates that you have inadequately formulated your arguments, and/or have inadequately articulated them. Either way, your potential readers will simply move on.
And another thing...
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