How can you eliminate bias in your literature review?

In very practical terms, you must be positive about the question you are addressing. Having done that, define the terms that are absolutely central in your research and proceed to a Boleean search in pubmed. Don’t be afraid to include papers in foreigh languages. The abstracts are generally in English and can be very useful or insightful. Online Translators are very handy tools. Try to evaluate which articles seem to be more relevant to help in your research by rapidly glancing at the issues they address. This is a very good beginning and minimizes the risk of biases

A well-defined, clear, and concise inclusion and exclusion criteria based on your research question. Do duplicate data search and risk of bias assessment by two different team members independently. Selection, performance, attrition, reporting, and other study parameters are used to analyzed risk of bias.

Do not cherry-pick by ensuring you include studies and sources that cover a wide range of perspectives. Avoid selectively citing sources that support your viewpoint while ignoring those that challenge it. Present a well-rounded view by acknowledging diverse perspectives. Avoid HARKing (Hypothesizing After Results are Known). Establish your research questions and hypotheses before conducting your literature review. Don't alter your hypotheses based on the results you find during the review process. Also, refer to studies that are relevant in terms of topic and time. If you're conducting a study in 2023 and referring to empirical data from the 1980s, then that might set you up for some biased insights.

One thing I have found helpful is to engage various experts within my community in building my data. You may choose to set up a small group where you connect with other professionals and have them review the process you are using to collect, model, and analyze your data. This will also ensure that you are utilizing the right statistical and logical methods and techniques. And while they are at it, don't forget to ask them to provide you with alternative explanations which can also help you verify the location where your data originated from.

Beware of overly ambitious objectives. Sometimes, not all the questions you planned to addressed could be answered in a single review. Perhaps you uncovered some previously unacknowledged connections during your analysis. It's ok to state that a certain topic is outside the scope of the current research. Always ensure that cause-and-effect relationships established are sound, and the generalisability of the findings is appropriately addressed. Be mindful also of your place in creating the literature: where you are temporally and in terms of resources in relation to what you have been reviewing.