03 · What You Need to Know
Cross-Disciplinary Reading Requires More Context, Not Less Expertise
Being an experienced researcher does not make every discipline immediately readable
Research expertise includes a great deal of knowledge that becomes almost invisible once you have acquired it. You recognize standard terminology, know which theories are foundational, understand what common methods can and cannot establish, and notice immediately when a result is surprising.
When you move into another field, much of that background disappears.
Hubbard and Dunbar's research on how academics read scientific literature found that familiarity with a field affects reading strategy. Their findings suggest that even experienced researchers may adopt more superficial strategies when reading outside their area because they lack the disciplinary framework that helps experts process new information efficiently.
So difficulty reading another field should not automatically be interpreted as difficulty reading research. You may be missing the background knowledge that specialists normally bring to the page.
Reading difficulty
I cannot follow the paper because I lack some of the concepts, terminology, methods, or conventions it assumes.
Research difficulty
The paper itself involves a genuinely difficult question, method, analysis, or argument even for readers familiar with the field.
Those problems may overlap, but recognizing the difference helps you decide what to do next.
Start with the paper's question before trying to decode every unfamiliar term
When almost every paragraph contains unfamiliar language, it is tempting to begin building a glossary immediately. That can turn reading into an endless sequence of definitions without giving you a coherent understanding of the paper.
Start instead with the larger problem.
What are the authors trying to find out? Why do they think the question matters? What broad approach did they use? What do they claim to have learned?
Carey, Steiner, and Petri recommend beginning scientific reading by identifying both the reader's goal and the authors' goal. They also note that understanding a paper may require some awareness of the scientific field in which the authors work and the techniques available within it.
Those questions are particularly useful across disciplines because they give unfamiliar details somewhere to belong.
If you cannot yet state the research question in reasonably plain language, spend more time on the abstract, introduction, research objective, and perhaps the conclusion before attempting to unpack every technical detail.
Decide why you are crossing the disciplinary boundary
You may not need the same level of understanding as a specialist.
Perhaps another discipline offers a theory that could help explain your phenomenon. Perhaps you found a measurement technique you might adapt. Maybe the paper studies the same problem using a completely different methodology. Or perhaps your research question itself spans several disciplines.
Your purpose determines which disciplinary knowledge you need to acquire.
| Why you are reading outside your field |
What deserves particular attention |
What may initially receive less attention |
| Borrowing a concept or theory |
Definition, theoretical assumptions, boundaries, original literature, and how the concept is used in that field |
Technical methods unrelated to the conceptual claim |
| Using an empirical finding |
Research question, design, measurement, relevant results, uncertainty, and limitations |
Background material that does not affect your intended use |
| Adapting a method |
Methodological rationale, assumptions, procedures, analysis, validation, and limitations |
Substantive details unrelated to whether the method transfers |
| Comparing disciplinary approaches |
Definitions, assumptions, evidence standards, methods, and interpretation |
Peripheral details that do not affect the comparison |
| Entering a new research area |
Core terminology, foundational concepts, major debates, common methods, and representative literature |
Highly specialized details until the broader framework is established |
This prevents a common mistake: assuming that understanding a paper outside your field requires understanding everything its disciplinary audience knows.
Learn terminology selectively rather than translating every technical word
Specialized vocabulary is one of the most obvious barriers to cross-disciplinary reading. Research on challenges in reading primary scientific literature has identified unfamiliar terminology and insufficient background knowledge as recurring difficulties, alongside unfamiliar research techniques.
Not every unknown term deserves the same effort.
Some terms are merely labels for details that are peripheral to your purpose. Others are load-bearing concepts: misunderstand them and the paper changes meaning.
Prioritize terms that appear in the research question, define the central phenomenon, distinguish important categories, describe the main method, appear repeatedly in the results, or determine how the authors interpret their findings.
When you encounter an unfamiliar term
If the sentence still makes sense without knowing the exact definition
Mark the term and continue. Return if it becomes important later.
If the term appears repeatedly or defines a central concept
Look it up in an authoritative disciplinary source before proceeding too far.
If the term seems familiar but is being used in an unfamiliar way
Check the field-specific meaning rather than importing your own discipline's definition.
If the paper explicitly defines the term
Use the authors' operational or theoretical definition while remaining alert to how it relates to broader disciplinary usage.
The third situation deserves particular care. Familiar vocabulary can be more deceptive than obviously unfamiliar jargon because you may not realize that translation is needed.
The same word may not mean the same thing across disciplines
Terms such as "validity," "engagement," "model," "learning," "culture," "resilience," "bias," "performance," and "significance" can carry different meanings across fields or methodological traditions.
Even when disciplines study apparently similar phenomena, they may conceptualize and operationalize them differently.
Do not assume equivalence merely because two papers use the same label. Ask how the construct is defined and how it becomes observable in the study.
Conversely, two fields may use different terminology for closely related ideas. Recognizing that relationship can be intellectually productive, but it requires more than matching words. Compare definitions, assumptions, boundaries, and what each concept is intended to explain.
This becomes especially important when importing a concept into your own research. A term detached from the theoretical system that gives it meaning can become something quite different from what the original literature intended.
Use the introduction as disciplinary orientation, but do not expect it to teach you the field
When you already know a research area, you may skim introductions because much of the background is familiar. Outside your field, the introduction often deserves more attention.
It can tell you which problem the discipline considers important, what prior research the authors regard as relevant, which concepts organize the argument, and what gap or unresolved issue motivates the study.
Still, an introduction is not a neutral textbook chapter. It is constructed to justify a particular study and necessarily presents a selective account of the literature.
If the paper depends on a concept, theory, controversy, or prior finding that you do not understand, follow the relevant citation rather than expecting one paragraph of background to substitute for the underlying literature.
Carey and colleagues explicitly recommend going beyond the focal paper when necessary by looking up unfamiliar terms, examining supplementary material, and reading cited references. That extra work becomes particularly important when disciplinary background cannot be assumed.
A review article can give you a map before you inspect every street
If one unfamiliar paper opens into an entire unfamiliar literature, repeatedly following isolated citations can leave you with fragments rather than a coherent picture.
A recent, authoritative review can sometimes provide the conceptual map you are missing. It may identify major theories, terminology, methodological traditions, unresolved debates, and foundational studies.
Use reviews as orientation rather than as substitutes for original evidence. Once you know which primary studies, methods, or theoretical papers matter to your purpose, examine those sources directly.
If you are entering a topic rather than reading only one paper, another useful strategy is to trace how the literature developed over time. Guidance on developing research-reading habits suggests that chronological reading can help newcomers see how concepts, methods, and interpretations changed as a field developed.
Do not judge unfamiliar methods by whether they resemble the methods you know
Cross-disciplinary reading becomes especially difficult when the methodology is unfamiliar.
A researcher trained primarily in experimental quantitative methods may encounter ethnography, discourse analysis, phenomenology, archival research, or interpretive case study. A qualitative researcher may encounter Bayesian hierarchical models, genome-wide analyses, computational simulations, or signal-processing techniques.
The wrong first question is: "Why didn't they use the method my discipline normally uses?"
The better questions are: What research question is this method designed to answer? What kind of evidence does it produce? What assumptions does it make? What constitutes a strong implementation of the method within the discipline where it is used?
Watch Out
Do not evaluate an unfamiliar method solely against the conventions of your own discipline. Before criticizing it, establish what the method is intended to accomplish and what standards knowledgeable users of that methodology apply to its design, execution, and interpretation.
This does not mean disciplinary conventions are beyond criticism. It means criticism should engage with what the method actually claims to do.
You may need to learn enough of the method to understand the evidence
There is also an opposite mistake: treating an unfamiliar method as an impenetrable black box because it belongs to another field.
If your use of the paper depends on evidence produced by that method, you need enough methodological understanding to know what the evidence represents.
You may not need to perform the analysis yourself. You may need to know why the method was chosen, what inputs it uses, what outputs it produces, what assumptions are consequential, and what conclusions those outputs can support.
If those questions remain unanswered, follow the methodological citations, consult an authoritative methods reference, or seek expertise from someone who works with the approach.
The same principle applies within your own field, but it becomes more visible when you cross disciplinary boundaries. When a method becomes consequential to your interpretation, unfamiliarity is a reason to investigate rather than guess.
Figures and tables may require disciplinary decoding
A figure that looks self-explanatory to a specialist may contain conventions that an outsider does not recognize.
Colors, symbols, normalization procedures, transformed axes, error bars, model outputs, specialized diagrams, microscopy images, notation systems, or qualitative displays may rely on disciplinary conventions that are barely explained because the journal's expected audience already knows them.
Carey and colleagues recommend unpacking each figure and table by identifying what is shown, how the data were collected, and what each axis, variable, group, and statistical approach represents. They also recommend returning to the methods whenever necessary to understand how the displayed data were produced.
For an unfamiliar discipline, add another question: Is there a convention here that the authors assume their readers already know?
If so, find an authoritative explanation rather than inferring meaning from visual appearance alone.
Separate unfamiliarity from poor reporting
Sometimes you do not understand a paper because you lack disciplinary background. Sometimes the paper simply does not explain something clearly enough.
Those possibilities are easy to confuse.
Knowledge gap
A specialist would reasonably be expected to know this concept, convention, or method, but I do not yet know it.
Reporting gap
Information necessary to understand or evaluate what was done is missing or inadequately explained even after appropriate background is considered.
Before criticizing the reporting, investigate whether the missing explanation is genuinely absent or simply supplied through standard disciplinary knowledge, supplementary material, or a cited methodological source.
Conversely, do not assume every difficulty is your fault as an outsider. If essential information remains unavailable after reasonable investigation, uncertainty about what was done is a legitimate limitation of your appraisal.
Pay attention to what the discipline considers evidence
Different research traditions may ask different kinds of questions and use different forms of evidence to answer them.
One field may emphasize experimental control and quantitative estimation. Another may prioritize interpretation of meaning within context. Another may rely heavily on formal proof, simulation, archival evidence, textual analysis, observational data, or comparative cases.
When you cross disciplines, ask what inferential work the evidence is supposed to perform.
What claim are the authors trying to establish? Why is this kind of evidence considered relevant to that claim? What would count as a limitation or alternative explanation within that research tradition?
You do not have to suspend your own methodological judgment. But understanding the paper requires reconstructing its reasoning before evaluating it.
Do not assume familiar standards transfer unchanged across fields
Concepts such as replication, generalizability, validity, reliability, representativeness, significance, saturation, robustness, and causal inference may receive different emphasis or be operationalized differently across research traditions.
Even article structure can vary. A paper may not contain a separate methods section. Results and discussion may be integrated. The argument may develop through cases or textual evidence rather than through a sequence of statistical analyses.
Rigidly applying the reading sequence you use in your own field can therefore obscure rather than clarify the paper.
First identify how the paper is organized and what function each section performs. The broader principle behind choosing where to start in a research paper still applies: let the information you need determine where your attention goes.
Distinguish a disciplinary disagreement from an empirical contradiction
Two papers from different disciplines may appear to disagree while actually asking different questions or using the same terms differently.
Imagine that one field studies "engagement" through behavioral traces in a digital platform while another treats engagement as a multidimensional psychological construct. Their findings cannot be compared responsibly until you understand what each field means by the term.
Likewise, one discipline may ask whether an intervention changes an outcome, while another asks how participants experience the intervention. Different conclusions may reflect different objects of inquiry rather than contradictory evidence.
Before declaring cross-disciplinary findings inconsistent, compare the research questions, constructs, units of analysis, methods, and inferential goals.
Use citation trails strategically
When an unfamiliar paper repeatedly cites the same sources for a concept or method, those references can help you locate the intellectual infrastructure of the field.
Look for citations attached to definitions, theoretical propositions, methodological procedures, established measures, or claims presented as accepted disciplinary knowledge.
Do not follow every reference. Follow the ones that answer a question preventing you from understanding the focal paper.
Encounter a gap The paper relies on a concept you do not understand.
Locate its source Identify the reference used to define or justify the concept.
Read selectively Use the cited source to understand the definition, assumptions, and boundaries you need.
Return to the paper Re-read the relevant passage with the new disciplinary context.
This is usually more productive than disappearing into a citation chain with no clear stopping point.
Know when you need a specialist
Independent reading can take you far, but there are situations where expertise matters.
If your research depends heavily on a method you do not know, if you are importing a theoretical construct whose disciplinary nuances are consequential, or if you are making a high-stakes judgment about evidence from another field, consultation with someone who works in that area may be more reliable than continuing to infer disciplinary conventions from papers alone.
This is especially relevant in genuinely interdisciplinary research. Collaboration is not merely a way of dividing tasks. It can expose assumptions that each discipline takes for granted and therefore rarely explains explicitly.
Knowing when your own understanding has reached its boundary is itself part of competent cross-disciplinary reading.
You do not need to become a specialist before you can learn from another field
There is a risk of setting the standard too high. If you believe you must acquire specialist-level mastery before using any idea from another discipline, interdisciplinary scholarship becomes almost impossible.
A more workable standard is proportionality.
If you are using a paper only to recognize that another field studies a related problem, broad understanding may be enough. If you are importing its theoretical framework, adapting its method, or relying on its findings as central evidence, your required understanding should be much deeper.
This is the same principle that governs how much of any research paper you need to understand, but disciplinary unfamiliarity raises the likelihood that important assumptions will otherwise remain invisible.
