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DATA FOUNDATION
Universities, professors and researchers, research fields and keywords — harvested directly from KAKEN (KAKENHI), CiNii, researchmap and official university sites, structured and continuously updated. It is the factual ground beneath professor matching, research-plan review and research direction: every judgment rests on traceable, real data. The career side lives on the same foundation: industries, roles and company deep reports, every claim evidence-graded.
Public sources · traceable line by line
Each can be browsed, searched and expanded in place — no login, zero latency.
Graduate · research data assets
830 universities on the prestige ladder; search by name / 偏差値 / G30 / faculty instantly.
Find researchers by name nationwide; keywords / papers / grants trace back to the source.
A trilingual (ZH / JA / EN) dictionary of research directions; reverse-look-up advisors in one click.
“Social Security” → 128 active advisors
Reverse-look-up graduate programs by field; see faculty depth and concrete majors per school.
Search a method in Chinese, Japanese, or English and reverse-look-up the faculty who use it.
Career · industry data assets
17 industry directions as one district map — work rhythm, hidden risks and selection axes readable in place.
16 industries × 24 roles on one heat grid — 384 nodes with friendliness grades and entry routes.
990+ deep reports on major employers, shelved by industry — click a spine to read the full report. Still collecting.
One foundation — the basis for the credible judgments these tools make.
Match advisors on real research signals, not loose keywords.
Reads against professor profiles and field context for traceable, 8-dimension notes.
Starts from keywords and the field network to converge on a direction that holds up.
Data comes from KAKEN / CiNii / researchmap and official university sites, traceable line by line and continuously updated; official information takes precedence.