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研究で使う前に

新しいツールを増やすことではなく、根拠を追跡できる状態のまま研究時間を短縮することを重視します。

向いている人

Researchers who need to choose tools for a specific academic workflow before committing time or data.

最初の一歩

Start with one low-risk research task, record the input and output, then decide whether the tool belongs in your main workflow.

1Define the research task and the evidence standard before trying tools.
2Pick one discovery tool, one verification source, and one place to store decisions.
3Run the same small task across two options so quality, speed, and traceability can be compared.
4Keep final claims tied to original papers, datasets, or reproducible analysis outputs.

Do not treat a fluent AI answer as a verified academic conclusion.
Check whether the tool exposes sources, citations, export formats, and privacy boundaries.
Avoid adding too many tools before the basic workflow is stable.

Can the result be traced back to papers, data, or a reproducible search strategy?
Can another researcher repeat the task and understand the decision trail?
Does the tool create any citation, privacy, or compliance risk?

さらに確認したい場合

このページでは研究判断に必要な要点を整理しています。詳細な背景や関連情報は元のページで確認できます。