Example · Researcher

What must we understand before relying on this dataset for a new analysis?

A researcher prepares a descriptive briefing about provenance, intended reuse and analytical limits

The situation

Reusing a neural dataset

You want to compare two decoding approaches using a neural dataset collected for a different research question. Its summary page is easier to find than its supporting documentation. You need to decide what requires clarification before making it the basis of your comparison

What this example starts with
The proposed activity
The project analyses recorded data, without deploying a device or intervening with participants
The information gap
Assume you have not yet resolved the dataset’s collection context, permitted reuse, participant description or processing history from its documentation
The intended claim
You want to compare approaches under stated analytical conditions, without claiming the comparison establishes everyday performance

Working through the question

  1. Use the descriptive route

    You describe the activity as a dataset and data-analysis study. Its Project Briefing organizes purpose, sources and questions. The current numerical BCI model does not model this activity, so an unavailable score is a scope boundary and cannot be interpreted as an adverse result

  2. Trace what the data represent

    You connect the proposed comparison to collection conditions, labels and processing choices. Missing documentation could affect what a difference between approaches means. You record questions for the data provider rather than assuming that a convenient download establishes fitness for the new research question

  3. Keep reuse and claims distinct

    You separate questions about permission and governance from questions about analytical validity. Clarifying one would not settle the other. You also distinguish retrospective results from prospective use, so the proposed comparison cannot silently become a claim about a new population or setting

An illustrative take-away

A descriptive research briefing

You record the intended analysis, missing documentation and limits to retain when reporting the comparison

  • Which collection and processing details are needed to interpret the data?
  • Who can clarify whether this proposed reuse is within the applicable permissions?
  • Which populations, settings and deployment claims would remain outside the analysis?

Written for this example to show what the reader could take into their next conversation

Dataset studies receive a descriptive briefing; the numerical model and score-dependent Passport are unavailable

Try this with your own question

Your guide explains the steps, access requirements and limits for your role