What should I look out for with AI in research & science?

Never use AI as a source: every reference must be traceable to the original article, as fabricated or wrongly attributed citations are the most common error. Unpublished data, research proposals and peer-review manuscripts are confidential or commercially sensitive, so do not enter them into a consumer account without a data processing agreement, and check whether the provider stores your input or uses it for training (publishers usually prohibit this explicitly for peer review). If you work with personal data from research participants, the GDPR and your own ethics review apply: running models locally or using an EU-hosted tool with data minimisation is then the safe route. Finally, document your search strategy and your AI use: journals and funders increasingly ask for this, and a review must remain reproducible.

Home / Safety / Scholarcy for research & science

Everway Opco Limited / Scholarcy (Antrim, United Kingdom)

How safe is Scholarcy for research & academia?

GDPR profile for research & scienceGood

Scholarcy has a good GDPR profile. Usable in research & science, provided you use the business variant and follow the points of attention below.

Where does Scholarcy stand in research & science?

Shared place 6 of 30 options for research & science (professional tools and general assistants) on GDPR profile. 6 options, like Scholarcy profile, have a good profile. Each tile is an option we track for this field; click for the check.

Strong5

Good6

Limited8

Unknown4

Caution7

Published safeguards

–Provider based in NL/EUNot known

✓Data in the EU (according to provider)Yes

–Publishes certification (ISO/NEN/GDPR)Not known

which models are used is not public; storage via servers within the EEA, encrypted at rest and in transit. The provider does not explicitly state whether input is used for training.

How to use Scholarcy safely

Use the business variant and sign a data processing agreement (DPA).
Do not enter unnecessary personal data into prompts; anonymise where possible.
Enable EU data residency where the provider offers it.
Keep a professional in the loop: never use AI as a source: every reference must be traceable to the original article, as invented or misattributed citations are the most common error.

Stronger or equally strong in research & science

CradleCradle (Amsterdam, the Netherlands and Zürich, Switzerland)

ASReview LABUniversiteit Utrecht (the Netherlands)

KeeniousKeenious (Norway)

SciSpacePubGenius Inc. (Milpitas, United States)

CastorCastor (Amsterdam, Netherlands)

Questions

How safe is Scholarcy for research & science?: Scholarcy has a good GDPR profile. Usable in research & science, provided you use the business version and follow the points of attention below. Good safeguards, but not on every point.
Does Scholarcy train on my data?: which models are used is not public; storage via servers within the EEA, encrypted at rest and in transit. The provider does not explicitly state whether input is used for training.
What should I look out for with AI in research & science?: Never use AI as a source: every reference must be traceable to the original article, as fabricated or wrongly attributed citations are the most common error. Unpublished data, research proposals and peer-review manuscripts are confidential or commercially sensitive, so do not enter them into a consumer account without a data processing agreement, and check whether the provider stores your input or uses it for training (publishers usually prohibit this explicitly for peer review). If you work with personal data from research participants, the GDPR and your own ethics review apply: running models locally or using an EU-hosted tool with data minimisation is then the safe route. Finally, document your search strategy and your AI use: journals and funders increasingly ask for this, and a review must remain reproducible.

Source documents

www.scholarcy.com www.scholarcy.com www.scholarcy.com

Everything about Scholarcy Best AI for research & science

Summarised by the editorial team from provider documentation · not legal advice

Last checked: 27 October 2026 · How we check

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