Start with the work, not the adjective

“Highly analytical interdisciplinary researcher” asks a reader to accept a description. “Checked 240 records against a coding guide and documented disagreements for review” gives them evidence to interpret. The number is illustrative; a real resume would use verified details.

NISO's CRediT taxonomy distinguishes contributions such as data curation, analysis, and project administration. Those distinctions can help someone describe a research role accurately, even when the resume does not use the taxonomy's formal labels.

Three translations

Academic shorthandA clearer description
Assisted with literature reviewScreened abstracts against eligibility criteria and recorded exclusion reasons
Worked on a manuscriptDrafted the methods section from the study protocol and incorporated coauthor feedback
Managed study dataMaintained the data dictionary and resolved inconsistent category labels with the study team

These are examples of possible contributions, not interchangeable descriptions. Someone who performed one task should not borrow another because it sounds stronger.

Results need evidence too

“Improved accuracy by 30%” requires a defined accuracy measure, a baseline, and a defensible comparison. If those were never measured, a concrete deliverable is enough: a cleaned dataset, a reproducible script, or a documented review process.

Confidential work may need a generalized description. It is possible to explain a method without identifying participants, sharing restricted files, or exposing an employer's unpublished results.

Read it from the hiring side

A useful final check is whether a reader can tell what you personally did and what another team member would still need to verify. Clear boundaries tend to make a contribution more credible. The aim is to make relevant experience visible, not to make every project sound like an independent breakthrough.