Why the README Matters
A project can have a sensible directory layout, clear script entry points, and consistently named run folders, yet still be difficult to use if a new analyst cannot tell where to start. A README is the project’s front door: it orients the reader, states what is needed, and points to a safe, ordinary path through the workflow. It should answer practical questions quickly, not repeat every detail from the scripts or the full technical documentation.
For a pharmacometric analysis, onboarding information also needs to distinguish what a person must do from what the project does. For example, a README should say whether an authorized input dataset must be placed in a specified directory, whether a configuration file needs to be selected, which command starts the analysis, and where the generated results appear. These statements should agree with the actual project structure and script entry point.
A README is useful only when it is accurate for the project as it exists. Treat every instruction as a claim that can be checked: a stated file path should exist or be created by a specified step; a command should match the actual entry point; and described outputs should be the ones the workflow produces. The earlier material on portable paths, script entry points, externalized configuration, and run folders provides the project facts this document needs to summarize.
What an Onboarding README Should Cover
A practical README usually follows the order in which a new user needs information. Keep the first screen useful: identify the project and purpose, then show prerequisites and a short setup path. Put detailed model-method explanations and specialized procedures in the documentation to which the README links.
| Section | Question it answers | What to make explicit |
|---|---|---|
| Purpose and scope | What is this project for? | Analysis objective, intended use, and important boundaries |
| Prerequisites | What must be available first? | Required software, access permissions, and required inputs or configuration |
| Setup | What should I do before running it? | Where to place or select inputs, how to choose configuration, and any required preparation |
| Main command | How do I start the ordinary workflow? | The exact command, where to run it, and what it initiates |
| Expected outputs | How can I tell what it produced? | Output location, main artifact types, and any run-specific naming pattern |
| Further documentation | Where are the details? | Specific, existing documents for methods, data, configuration, or troubleshooting |
Avoid vague claims such as “install the dependencies,” “run the model,” or “results are in the output folder” when the reader needs more information to act. Name the prerequisite or path, give the command exactly, and indicate whether it should be run from the project root or another directory. If a step depends on a team-specific access process, say so and direct the reader to the appropriate contact or approved instructions rather than inventing a universal process.
Worked Example: Turning a Project Purpose into an Onboarding Summary
Consider a hypothetical project called OralDose-NCA. It prepares an analysis dataset from authorized concentration and dosing records, then runs a specified noncompartmental analysis workflow. The README needs to orient a new analyst without implying that it validates the clinical source data or describes every analytical decision.
A weak purpose statement would be: “This repository contains analysis files.” It says what the repository contains in a broad sense, but not what the analysis is intended to do or what the user should expect.
A stronger statement is: “OralDose-NCA prepares the project analysis dataset and runs the noncompartmental analysis workflow for the specified oral-dose analysis. It is intended for authorized project analysts; see the analysis documentation for the methods and interpretation.” This identifies the workflow and its intended audience, while reserving methodological detail for a more appropriate document.
The boundary matters. If the workflow assumes approved, appropriately prepared input records, the README should not suggest that running the command establishes the validity of those records. Nor should it promise a particular scientific conclusion. It describes how to use the project, not what the analysis will prove.
Write Prerequisites and Setup as Verifiable Steps
Prerequisites should tell the reader what must be true before execution. At minimum, identify the required analysis software and any access to project inputs that is necessary. If the workflow relies on a particular local configuration or an external data location, describe that requirement in terms the intended user can verify. Do not state that a project works with a software version or operating system unless that claim has been checked.
Setup should be a short, ordered sequence with concrete locations. Distinguish files supplied with the project from files the analyst must obtain through an authorized process. Tell the reader where required inputs belong, how to identify or select the intended configuration, and where to launch the workflow. Do not include sensitive credentials, confidential data, or instructions that bypass access controls. If access is required, refer to the approved access procedure.
The README should not attempt to teach every prerequisite topic. For example, it can identify a required software environment without giving an unsupported compatibility guarantee or duplicating detailed installation guidance. When setup is platform-specific or lengthy, link to a maintained document that covers it and summarize the first action the reader should take.
Worked Example: Making Setup Steps Actionable
For the hypothetical OralDose-NCA project, suppose the top-level directory contains data/input/, config/analysis.yml, and an executable script named run_analysis.R. The team has verified that the script is launched from the project root and writes a new run directory under output/. Assume authorized input data are obtained separately and are not included in the project files.
A vague instruction, “Put the data in the right place and run the script,” leaves at least three decisions to the user: which location, which configuration, and where to run the command. A clearer setup sequence would be:
- Confirm that you have access to the approved input dataset and the required analysis software.
- Place the authorized input file in data/input/ using the filename specified in the project’s input documentation.
- Review config/analysis.yml and confirm that it selects the intended analysis settings.
- From the project root, run Rscript run_analysis.R.
Each step is tied to a concrete project location or action. The command is not merely named: its working directory is stated, and the configuration and input requirements are separated so the analyst can check them before execution. In a real README, the filename and configuration instructions must match the workflow rather than being assumed from this hypothetical example.
Describe the Main Command and Expected Outputs
The main execution command is the shortest reliable route to the ordinary project workflow. State the command exactly as it should be entered, the directory from which it should be run, and a concise description of the work it starts. If the workflow has distinct preparation and analysis commands, do not disguise that sequence as one command unless a single entry point actually performs both steps.
Then describe what a successful run is expected to create and where. Be specific enough that a user can distinguish expected results from an incomplete run, while avoiding promises that outputs will be identical across all data or configurations. A useful output description might name a run directory, a summary table, and diagnostic plots, and explain whether the run directory name is generated from a date, a run label, or another established convention. Do not imply that the README itself verifies the scientific adequacy of the results.
The description should reflect real workflow behavior. If outputs depend on configuration, explain that dependency. If a run can stop before writing final artifacts, do not state that all listed files are guaranteed to appear after every attempt. Instead, describe expected artifacts for a completed run and point to troubleshooting guidance for failures.
Worked Example: Documenting Expected Outputs
Suppose the hypothetical command Rscript run_analysis.R starts a run and, on completion, creates a directory such as output/run_2026-10-12_0900/. Assume that this directory contains analysis_summary.csv and a diagnostics/ subdirectory with plots. These names and behaviors are hypothetical and illustrate how to write an output description; a project README should report only outputs that have been confirmed.
An incomplete statement is: “The results are saved under output.” It omits how to identify the relevant run and what artifacts to look for. A more useful statement is: “A completed run creates a new directory under output/. The directory contains analysis_summary.csv and a diagnostics/ folder with diagnostic plots. Use the run directory created by your command; do not assume that a previously existing run directory contains the latest results.”
This description names both location and contents and avoids claiming that the example output is guaranteed for a failed run. It also gives the user a practical way to orient themselves after execution. If the project uses a different naming convention or produces additional required artifacts, the README should state those actual details instead.
A Short Derivation: Why the README Needs Both Command and Output
The command and output description answer different questions. The command tells a user what action to take; the output description tells them what evidence to inspect afterward. Including only one leaves the onboarding path incomplete.
This is a practical dependency, not a statistical model. If a README names no command, the reader must guess how the workflow starts. If it names no expected artifacts or location, the reader cannot readily tell what a completed run is meant to produce. Therefore, a usable execution section needs both the exact entry point and a concrete description of the expected result, each checked against the project.
Further Documentation, Diagnostics, and Common Pitfalls
The README should make deeper information findable. Link or point to documents that actually exist and have descriptive names: for example, a data-input guide, a methods document, a configuration guide, or troubleshooting instructions. State where those documents are located in the project. “See the documentation” is not enough if the reader cannot identify which file or directory is meant.
Before considering the README ready for onboarding, check it against the project itself. A simple review can follow the reader’s path: verify that each referenced file and directory exists or is created as described; confirm that the command and working directory match the entry point; check that prerequisite and input statements are accurate; and compare the documented outputs with a known completed run, if one is available and appropriate to use. When execution cannot safely be tested, identify that limitation rather than presenting unverified instructions as confirmed.
- Vague command instructions: “Run the model” forces the reader to guess the command and working directory. Give the exact entry point and where to run it.
- Outdated paths: A link to a renamed configuration file or moved guide sends the reader in the wrong direction. Verify references against the current project structure.
- Overstated guarantees: A README that promises identical results or successful output for every input goes beyond what its instructions establish. Describe expected behavior with its conditions.
- Mixing orientation with a full technical manual: Excessive detail can hide the first useful steps. Keep the README focused and direct readers to specific further documentation.
- Confusing outputs with conclusions: The presence of generated files does not by itself establish that an analysis is scientifically appropriate. Describe artifacts, and direct readers to the methods and review process for interpretation.
A README is not a substitute for a detailed analysis plan, methods documentation, or a controlled data-access process. Its purpose is to make the project’s entry point understandable and to route users to the appropriate detail. Keep that boundary clear: concise orientation is valuable, but it must not conceal requirements or present unsupported claims.
Check Your Understanding
Answer each question, then compare your response with the solutions below.
- A README says, “Install the dependencies and run the analysis.” Name two details that would make this instruction more actionable.
- Why should a README name both the main command and the expected outputs?
- A workflow writes results to a new run directory whose name includes a run label. What should the README say about locating outputs?
- A project needs authorized input data that are not included in its files. What should the README clarify?
- A README links to a file called docs/setup.md, but that file has been moved. What is the problem, and what should be done?
Solutions. (1) Identify the required software or prerequisite and provide the exact command and working directory; also state any required input or configuration step. (2) The command tells the reader how to start, while the expected outputs tell them what a completed run should create and where to look. Both are needed for a usable execution path. (3) State the parent output location, how the run directory is named or identified, and the main artifacts expected inside it, based on confirmed workflow behavior. (4) Say that the data must be obtained through the approved access process, identify the required destination or filename if appropriate, and avoid implying that restricted data are supplied with the project. (5) The README contains a broken reference, so the user cannot reach the intended guidance. Update the reference to the current document location and verify that the linked document exists.