Practical guide

How to create a research digest

Build a research digest around questions, methods, and canonical records. Resolve identifiers, label preprints and later versions, group commentary under the work it discusses, and keep enough method detail to judge relevance.[1][2]

Why this gets difficult

Research alerts often count versions, press releases, commentary, and papers as separate discoveries. Without resolving the underlying work, a digest can exaggerate volume and hide publication stage.[1][2]

A practical way through

  1. Define the topic, population, method, date range, and evidence types the digest should include.[1][2]
  2. Resolve DOI, repository, publisher, and database records before treating alerts as separate work.[1][2]
  3. Extract the research question, design, sample, outcome, and stated limitation from the readable primary source.[1][2]
  4. Route selected items to read, cite, replicate, discuss, or monitor rather than a general backlog.[1][2]

An example

The situation: A preprint, conference entry, journal article, and press release refer to the same study under slightly different titles.[1][2]

What changes: Identifiers and author metadata are reconciled, the publication stage is stated, and the press release is attached as commentary rather than counted as new evidence.[1][2]

What you get: The researcher sees one evolving study record with its current status and the exact reason it may matter.[1][2]

What to watch for

  • A digest cannot evaluate every method, appendix, dataset, or statistical decision.[1][2]
  • Metadata can be incomplete and corrections or retractions can appear after the briefing date.[1][2]

Sources worth keeping

  • Publisher, repository, DOI, and recognized database records.[1][2]
  • The readable primary paper and linked data or code where available.[1][2]
  • Specialist commentary that names the work and distinguishes result from interpretation.[1][2]

How Scottie helps

Scottie can monitor selected research feeds, journals, institutions, and newsletters, reduce duplicate alerts, and rank the work against a disclosed research priorities.[3]

Related reading

Sources and official links

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