How to build your own academic database through Google Scholar?

Building a personalized academic database using Google Scholar involves leveraging its features for discovering, tracking, and organizing scholarly literature relevant to specific research interests. It is feasible but requires supplementary tools for robust management. Key principles include establishing comprehensive search alerts for targeted keywords and authors to receive automatic updates. Crucially, results must be exported systematically via BibTeX or EndNote format for integration into a dedicated reference management software platform like Zotero, Mendeley, or EndNote. This centralized repository allows for organization through tagging, notetaking, and de-duplication. Users must be aware of Scholar's limitations regarding full-text coverage, potential metadata inconsistencies, and indexing biases towards certain disciplines or publishers. The implementation process involves designing effective search queries aligned with research topics and setting corresponding alerts. Discovered relevant publications are then consistently exported into the chosen citation manager. This curated digital library facilitates personalized literature monitoring, streamlined access to citations, and efficient organization of knowledge. Its primary business value lies in enhancing research productivity and ensuring sustained awareness of critical developments, though complementing with discipline-specific databases is advisable for comprehensive coverage.