Claude Team for Scientists: Shared Research and Review

Claude Team is Anthropic's organizational plan that gives research groups a shared workspace: each member connects their Claude account under one team, and shared Projects give everyone access to the same files and assistant instructions. For scientists, this means a literature review assistant, a drafting collaborator and a manuscript reviewer can all work from the same project context rather than each starting from scratch.

The gap that Claude Team does not fill is the one between sessions and across assistants. Decisions about experimental methods, trusted source links and unresolved questions disappear into chat history unless a team records them somewhere durable. Tools like fenbs keep that record outside any one AI app, so the next assistant reads the same agreed context the last one used.

What Claude Team offers a research group

Claude Team provides a shared seat for every member and unlocks Projects: persistent workspaces where you can upload protocols, style guides, past drafts and other reference material. Every team member's assistant in that Project reads those files before answering. That removes the need to paste a lab handbook into each new chat and ensures a consistent starting point across the group.

Each person still has their own conversation history; Claude Team does not create a single continuous chat visible to everyone. The shared element is the Project instructions and uploaded files, not the conversations themselves. Research groups need to plan their coordination workflow around that boundary, deciding what must be shared explicitly and what each person can carry on their own.

Check Anthropic's Claude plans page↗ (opens in a new tab) for current Team plan details including upload limits and member capacity. Plan features change frequently, and a third-party summary may be out of date by the time you read it.

Structuring a literature review across team members

A research group reviewing a large body of literature can divide the work: one person reads methodology papers, another reviews clinical trials, a third covers systematic reviews. Each person uses Claude to summarize key findings, extract study design details and flag papers that contradict earlier assumptions. The coordination challenge is then combining those outputs without losing the source context.

A summary without a citation is hard to verify later. An extraction without a search date is hard to reproduce or update. A useful literature review workflow names who read which papers, on what date, and using which inclusion criteria. Ask Claude to record this alongside each finding so the output is something the team can actually trace.

• Assign each team member a defined scope: a date range, a journal set, or a specific topic cluster.
• Ask Claude to include a citation and a direct supporting quote for every key finding it extracts.
• Record the search query and date accessed alongside each result so the search can be reproduced.
• Flag papers marked "needs expert review" separately from those cleared for inclusion.
• Consolidate extractions into a shared record before the team's next review meeting.

Drafting and reviewing with shared context

When a draft circulates for review, every reviewer needs the same background the original author had: the approved outline, the current citation style, the agreed terminology and the sections still under discussion. Uploading those to a Claude Team Project means a reviewer asking Claude to check the introduction works from the same constraints as the original author did.

Assign review roles explicitly before work begins: one person checks factual accuracy against cited sources, another checks argument structure and logical flow, a third checks language and journal style. Claude can assist each reviewer under a different set of instructions within the same Project, without one review accidentally contradicting another.

A shared kanban board lets the team track which sections are in draft, under review or cleared, alongside comments about what changed and why. See Claude projects for teams for more on setting up Claude Projects for collaborative writing.

Keeping source links and references organized

Research projects accumulate links quickly: PubMed searches, preprint servers, dataset repositories, methodological guides, regulatory documents and vendor datasheets. A list in a shared document is a start, but it does not record which links supported which argument, which are primary sources and which are supplementary references.

Ask Claude to record each source it draws on in a consistent format: title, URL or DOI, date accessed, and a one-sentence note on why it was included. Over a long project that note prevents a team member from spending an afternoon tracing where a cited figure originated.

When a preprint is later published in a peer-reviewed journal, updating the record means every assistant reads the corrected reference going forward. Without a maintained link record, the old URL keeps appearing in new sessions because nothing points away from it.

Recording methods decisions across sessions

Experimental methods generate decisions the whole team needs to follow: which statistical test applies to this data type, why exclusion criteria were set at this threshold, how a protocol step was modified after a failed run. These decisions are often made mid-conversation and need to survive the end of the chat.

When those decisions stay only in chat history, the next assistant working on a related section may not find them. It re-derives the answer from scratch, possibly reaching a different conclusion. If two methods sections in the same paper reflect different standards, the inconsistency may not surface until peer review.

Managing open questions and unresolved findings

Not every question gets resolved before a draft is complete. Some findings conflict and need expert adjudication. Some methods choices are made pragmatically and the team needs to record the limitation. A clean draft that pretends all questions are settled creates a harder conversation at peer review than one that names its open points clearly from the start.

Record open questions as tasks in the research project with a short description of the conflict or gap, the evidence on each side, and the next step to resolve it. An assistant reading that task can answer "what is still unresolved in the methods section" with the same answer any team member would give, rather than silently glossing over the uncertainty.

When Claude Team is not the right fit

Claude Team is designed for groups sharing a subscription, not for ad hoc collaboration with external reviewers at other institutions. Adding outside collaborators may not be permitted under your institution's software policies. Check with your compliance office before adding anyone outside your organization to a shared Claude workspace.

For specialized analysis that requires running code against raw data files, Claude without a code execution environment will reach its limits. Claude can read documents and reason about their content; it does not replace a statistical computing environment for primary analysis. The Claude Team plan and Claude enterprise vs team pages compare what each tier includes.

How to do this with fenbs

A fenbs project alongside your Claude Team workspace gives the whole research group a durable record of decisions, sources and progress that every connected assistant reads at the start of each session.

1. Create a free account. Start a new project for the research effort and add a short description of the research question and current phase.
2. Add tasks for each piece of work: one per paper assignment, one per manuscript section, one per open question. Assign each to a team member and describe what done means for that task.
3. Record methods decisions as Decisions and rules as they are made. Name the approving person and add a short reason. Mark decisions that apply to the whole project as standing rules.
4. Add confirmed sources to Links and listings with a one-sentence note on why each was included. Update the record when a preprint is published or a link changes.
5. At the start of each session, ask your assistant to read the project context including its rules and where work left off. Before finishing, ask it to save progress on each task it touched.