WEEK 11 · DATASET ENGINEERING AND THE REPORTING FINDING

Do one thing.
Then you are ahead.

Anyone who has merged two companies' ERP systems knows the pain: one reports revenue in thousands, the other in units; one calls a customer "Bioceres S.A.", the other "BIOCERES". Data engineering is 80% of a merger and 80% of a dataset. This week FermLit gets its merger treatment: units normalised (g/L vs mg/L), organism names mapped to NCBI taxonomy IDs (so "Y. lipolytica" and "Yarrowia lipolytica Po1f" become the …

If you only do one thing this week: normalized dataset export

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THE NEXT BLOCK

How long have you got?

10 min 25 min 50 min 90 min 12 of 12 cards still open in week 11 · 11 finished overall

7/12 Read 30 min? W11 Saturday Sandbox optional

NCBI Taxonomy and E-utilities documentation

Saturday sandbox · after Coursera Research Data Management and Sharing

NCBI Taxonomy and E-utilities documentation (ncbi.nlm.nih.gov/books/NBK25501) for the name-to-ID mapping

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In: LABLOOP-W11 Notebook

↻ Something else See everything in week 11 →

By Sunday you should be able to say: “I can explain why kLa limits scale-up, and I can show a dataset card that answers a stranger's questions before they ask.”

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MOMENTUM

What you have actually done

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2026-09-29 18:29 Finished: SciPy docs, scipy.integrate.solve_ivp
2026-09-29 17:44 Finished: LearnChemE (CU Boulder) · "Monod Cell Growth Example (Bio)"
2026-09-28 22:11 Finished: Crash Course Biology #3 · "Biological Molecules
2026-09-28 21:50 Finished: OpenStax Biology 2e
2026-09-25 11:16 Finished: OpenStax Biology 2e