SepiaLog features

Capture decisions. Understand history. Deliver trustworthy research.

Ten focused workflows turn everyday research notes into connected provenance, metadata and archive-ready documentation.

What does SepiaLog do?

SepiaLog is a private, local-first research data journal. It connects short researcher-written memos to data versions, branches, metadata, code and publication outputs so the project remains understandable from first cleaning step to final archive.

01 · Capture

Research data journal

Keep a chronological research data journal that connects each short memo to the project and data version it describes.

Explore the feature →02 · Capture

Quick Log and voice notes

Capture a research decision from Excel, Word, Numbers or Pages using a small Quick Log window or local voice transcription.

Explore the feature →03 · Understand

Dataset version history

See every saved dataset state and reopen the data exactly as it was when a research note was written.

Explore the feature →04 · Understand

Dataset branching and lineage

Create cleaned, anonymized and analysis-specific datasets without overwriting the original, while preserving each branch’s parent and purpose.

Explore the feature →05 · Understand

Research notes search and dataset map

Find research decisions by phrase, hashtag or file and see how related datasets connect through shared concepts and derivations.

Explore the feature →06 · Understand

Local AI research assistant

Ask questions about research notes, files, metadata and history using a model that can run on the researcher’s own computer.

Explore the feature →07 · Deliver

Research metadata and FAIR readiness

Document scope, files, variables, access and reuse conditions gradually, with local suggestions and a practical FAIR-readiness checklist.

Explore the feature →08 · Deliver

Data management plan generator

Generate a draft data management plan from project metadata using funder-oriented templates and visible placeholders for missing information.

Explore the feature →09 · Deliver

Data quality and sensitive-data checks

Compare the current data with its previous state and screen locally for quality changes and potential personal-data indicators.

Explore the feature →10 · Deliver

Research archive and publication package

Pin the exact dataset behind a paper and prepare checksums, metadata, citation information and repository-oriented documentation.

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