Scientific research papers report new discoveries, applying evidence to answer questions and identify patterns. Writing in these disciplines often takes the form of peer-reviewed journal articles, literature reviews, grant proposals, case studies, and lab reports.
For example, in an environmental-science lab report, a student might analyze research results to address or clarify a particular scientific development or question:
"This study aims to identify levels of chlorine and phosphorus compounds in a three-mile stretch of the Columbia River, which is an area notable for salmon runs. An analysis of samples taken over a two-year period from various locations within the three-mile stretch revealed the persistence of high levels of phosphorous and chlorine compounds. In the study, we examine the relationship between salmon population and the persistence of these compounds."
Scientific papers require a great deal of preliminary work, including research, field work, and experimentation. Translating that work into writing can be difficult, but academic conventions provide a common template for communicating findings clearly and effectively.
General Style
Writing in the sciences seeks to explain complex phenomena in clear, straightforward prose that minimizes authorial bias. It also includes elements of classical argument, since scientific papers are expected to contextualize, analyze, and interpret the information at hand.
Precision of Language
Lab reports, case studies, and other types of scientific writing must be precise in order to provide results that can be tested and reproduced.
Strive to use simple words and sentences. Some students try to make their work sound more intellectual by using obscure words and long, elaborate sentences. In reality, the academy values precise words and detailed descriptions that are still understandable to a lay audience. Don't try to mimic the stereotype of dense, convoluted academic writing. Instead, write as simply and clearly as possible. Precision is a key component of clarity.
In the sciences, precision has two main applications: using concrete examples, and using clear language to describe them. Defining your parameters accurately is essential. Don't generalize—provide exact times, measurements, quantities, and other relevant data whenever possible. Using precise, straightforward language to describe your work is also vital. This is not the time or place for flashy vocabulary words or rhetorical flourishes. Style, however, is still important: writing about the sciences doesn't give you a pass to write sloppily.
Objectivity
The sciences aim for objectivity at every stage, from the experimental procedures to the language used in the write-up. Science writing must convince its audience that its offering an important, innovative contribution; as a result, it has an argumentative character. Combining objectivity and argumentative writing can be challenging. Scientific objectivity has two requirements: your hypothesis must be testable, and your results must be reproducible.
The importance of objectivity in the sciences limits writers' ability to use persuasive rhetoric. However, it is still necessary to make a strong case for the importance, relevance, and applicability of your research. Argumentative writing does have a place in scientific papers, but its role is limited. You may use persuasive language in the abstract, introduction, literature review, discussion of results, and conclusion, but avoid using it when you describe your methods and present your results.
Transitions
Many students struggle to transition from one topic to the next. Transitions are well worth mastering—they are the glue that holds your ideas together. Never assume that the reader will correctly guess the relationships between different subtopics; it is your responsibility to explain these connections.
Scientific Reasoning
Keeping your chosen model in mind while you write can help ensure that your decisions and conclusions are logically consistent. Also, watch out for logic traps such as bias and faulty causality. Researchers must account for their own biases, or personal preferences, prejudices, and preconceived notions. These may include cognitive bias (irrational thinking), cultural bias (the imposition of one's own cultural standards upon research subjects), and sampling bias (the tendency during sample collection to include some members of the intended sample more readily than others).