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To locate a database to use for your research, use Database Finder, a tool that enables you to search for a particular database by name or browse by subject to identify relevant databases.
However, identifying relevant evidence within large biomedical databases at the point of need can be difficult for even the most experienced searchers due to time pressures and a burgeoning volume of high level evidence, specifically randomised controlled trials and systematic reviews [ 1].
One reason for these poor results may be that those compiling the Cochrane Schizophrenia Group's database are not identifying relevant trials from non-Anglophone sources.
This database can assist laboratories in identifying relevant samples for several diseases and disease spectrums.
To identify relevant trials, eight databases, including MEDLINE, Embase, the Cochrane Database of Systematic Reviews (CDSR), the Cochrane Central Register of Controlled Trials (CENTRAL), the Database of Abstracts of Reviews of Effects (DARE), Health Technology Assessment HTAA), Science Citation Index (SCI) and OAISTER, were searched from inception to 20 July 2012.
Identifying the relevant databases for a given query is the text database discovery problem.
Appendix [see Additional file 1] The following databases were searched to identify relevant published literature: Cochrane database of systematic reviews (CDSR), Database of abstracts of reviews of effectiveness (DARE), Cochrane Controlled Trials Register, MEDLINE and PREMEDLINE, EMBASE, HealthSTAR, CINAHL, NHS Economic Evaluation Database (EED), and Allied or Alternative Medicine AMEDD).
We identified relevant publications using database searches with a comprehensive list of search terms and other established search methods.
We identified relevant publications using database searches with a comprehensive list of search terms and other established search methods (for details, see Glinianaia et al. 2004).
To identify relevant evidence, the following databases were searched: MEDLINE, EMBASE, Cochrane Database of Systematic Reviews (CDSR), NHS Economic Evaluation Database (NHSEED), Health Technology Assessment HTAA), Database of Abstracts of Reviews of Effects (DARE), and EconLit.
A literature search limited to the English language was conducted to identify relevant articles in electronic databases.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com