Research Tools & Software
Practical comparisons of the software researchers actually use: reference managers, statistical and qualitative analysis packages, literature discovery tools, survey platforms, and lab informatics systems.
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Research software choices are unusually sticky. A reference library, a coded qualitative dataset, or a configured survey instrument represents real accumulated work, and moving it between platforms is often the hardest part of changing tools. That makes the initial selection consequential, and it makes migration guidance as valuable as feature comparison.
This section covers the tools researchers use across the research lifecycle, written comparatively rather than as vendor documentation. The emphasis is on what each tool actually does differently, what it costs in lock-in, and how to move work between options.
How this section is organised
- Reference and citation managers — Zotero, Mendeley, EndNote and Papers, plus the RIS and BibTeX interchange formats that make migration possible.
- Statistical software — SPSS, R, Stata, SAS, JASP and jamovi, compared by discipline convention and analysis type.
- Qualitative analysis software — NVivo, ATLAS.ti, MAXQDA and Dedoose, and how their coding models differ.
- Literature discovery — Research Rabbit, Connected Papers, Elicit, Consensus, Scite and Semantic Scholar, which are frequently conflated despite serving distinct tasks.
- Survey and data collection — Qualtrics, REDCap, LimeSurvey, and the participant recruitment platforms Prolific and MTurk.
- Evidence synthesis software — Covidence, Rayyan and DistillerSR for systematic review screening and extraction.
- Lab informatics — LIMS, electronic lab notebooks, OSF and protocols.io, and how sample tracking connects to analysis.
- Tools fundamentals — evaluating a tool against an existing workflow, data portability, and institutional licensing.
Choosing for portability, not just features
The most common regret in research tooling is not choosing a less capable tool; it is choosing a tool whose export path is poor. Before adopting anything that will hold years of accumulated work, the practical questions are whether the data can be exported in a documented open format, whether that export round-trips without loss, and whether the institution holds the licence or the individual does. Pages in this section address these directly rather than treating them as an afterthought.
Regulated environments change the calculus
In regulated research, tool selection is constrained by compliance requirements rather than preference. Systems holding data that supports a regulatory submission may need to satisfy 21 CFR Part 11 requirements for electronic records, audit trails and electronic signatures, and may require formal validation before use. Where that applies, see Laboratory Compliance & Quality for the underlying requirements.
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