Principal investigators and lab managers spend more than 40 percent of their federally funded research time on administrative and regulatory tasks, according to the National Academies of Sciences, Engineering, and Medicine. A well-built research lab dashboard can reclaim a significant share of that time by putting every project, deadline, and team assignment into a single real-time overview. Instead of digging through spreadsheets, email threads, and shared drives to figure out where things stand, you open one screen and see everything.
This guide walks you through exactly how to build a research dashboard for your lab — from deciding what to track, to choosing the right platform, to structuring views that actually get used by your team.
What is a research lab dashboard?
A research lab dashboard is a centralized, visual interface that displays the status of all active projects, publications, grants, and team responsibilities across your lab in one place. It replaces the patchwork of spreadsheets, whiteboards, and status meetings that most research groups rely on to stay coordinated.
In practical terms, a research lab dashboard answers three questions at a glance:
What is the current status of every active project in the lab?
Who is working on what, and are any team members overloaded?
What deadlines are approaching for grants, manuscripts, or milestones?
Unlike business intelligence dashboards built around revenue metrics, a research lab dashboard is structured around the academic research lifecycle — from literature review and grant writing through data collection, analysis, manuscript preparation, and publication. The best dashboards adapt to how your specific lab works rather than forcing a rigid template.
Why your lab needs a centralized dashboard
Most labs manage complexity through informal systems: a PI keeps project timelines in a personal spreadsheet, a postdoc tracks manuscript revisions in email, a lab manager maintains equipment schedules on a whiteboard. These systems work until they don't — and they tend to break at the worst possible moments, like the week before a grant deadline or during a major collaboration review.
The real cost of scattered project tracking is substantial. The Federal Demonstration Partnership's Faculty Burden Survey found that PIs spend only 58 percent of their grant-funded time on actual research — the remaining 42 percent goes to administrative overhead. A significant portion of that overhead comes from simply figuring out where things stand: chasing status updates, reconciling conflicting versions of project timelines, and coordinating across team members who each maintain their own tracking systems.
A centralized research lab dashboard eliminates this friction by creating a single source of truth for the entire lab. When a PI needs to check whether a manuscript is with co-authors or under review, it takes one click instead of an email chain. When a lab manager needs to know which team members have capacity for a new project, the dashboard shows workload distribution instantly. When a grant deadline is approaching, every team member can see it — not just the person who happens to have it written in a personal calendar.
Research groups that adopt centralized research management tools report spending less time in status meetings and more time on the work that matters. Dashboards do not replace communication — they make communication more efficient by ensuring everyone starts from the same shared picture.
What to track on your research lab dashboard
The specific metrics on your dashboard will depend on your lab's size, discipline, and workflow. But most research groups benefit from tracking four core categories.
Project status and milestones
Every active study, experiment, or research initiative should have a clear status — such as planning, data collection, analysis, writing, or under review. Each project should also list its key milestones with target dates.
This is the backbone of your research lab dashboard. At a glance, your entire team should be able to see which projects are on track, which are stalled, and which are approaching a critical deadline. Group projects by stage so you can quickly spot bottlenecks — for example, if five manuscripts are stuck in "waiting for co-author feedback," that signals a systemic issue worth addressing.
Publication pipeline
Track every manuscript from first draft through submission, peer review, revision, and acceptance. Include key details like the target journal, submission date, reviewer feedback deadlines, and the current responsible author.
A publication pipeline view helps PIs and lab managers forecast research output, identify papers that have stalled, and plan strategically around journal timelines. For labs that produce multiple publications per year, a visual pipeline — displayed as a board or timeline — makes it easy to see how close each paper is to the finish line.
Grant deadlines and funding status
Grant management is one of the most time-sensitive aspects of lab administration. Your dashboard should track every active and pending grant, including application deadlines, reporting requirements, budget status, and renewal dates.
Given that the average grant proposal takes approximately 116 principal investigator hours to prepare, according to a 2015 study by von Hippel and von Hippel, having full visibility into upcoming deadlines weeks or months in advance is critical. A dashboard that surfaces grant deadlines alongside project milestones helps PIs allocate effort realistically — rather than scrambling when a deadline suddenly appears.
Team workload and assignments
Track who is responsible for what across every active project. This includes principal investigators, postdoctoral researchers, PhD candidates, lab technicians, and undergraduate assistants.
A workload view prevents the common problem of uneven task distribution, where one or two lab members end up carrying a disproportionate share of active responsibilities while others have capacity. It also helps when onboarding new team members or redistributing tasks when someone goes on leave or transitions to a new project.
How to build a research dashboard step by step
Step 1: Define your lab's key metrics and workflows
Before choosing any tool or building any view, sit down with your core team and answer these questions:
What projects are currently active? List every ongoing study, grant, manuscript, and collaboration.
What statuses does a project move through? Map your typical research lifecycle — from proposal to publication — into discrete stages.
What deadlines matter most? Identify the recurring deadlines that drive your lab's rhythm: grant submissions, IRB renewals, conference deadlines, manuscript due dates.
Who needs to see what? PIs typically want a high-level overview. Postdocs and PhD students need detailed task lists. Lab managers need operational details like equipment schedules and supply orders.
Document these answers. They become the schema for your dashboard — the properties, views, and filters you will build in the next steps.
Step 2: Choose the right platform
Your research lab dashboard is only useful if your team actually uses it. That means the platform needs to be easy to update, accessible from anywhere, and flexible enough to match how your lab works — not the other way around.
Here is what to look for in research lab management software:
Customizable views. You need tables, boards, calendars, and timelines — not just one fixed layout. Different team members will prefer different views of the same data.
Multiple project tracking in one workspace. Your lab likely runs several studies simultaneously. The platform should let you track all of them in a unified system while still being able to filter by individual project.
Collaboration features. Team members should be able to update their own tasks, leave comments, and tag colleagues — without needing to send a separate email or message.
Low maintenance overhead. If updating the dashboard takes more effort than the old system, no one will use it. Look for tools that make updates fast and friction-free.
Reference and knowledge integration. Research projects are deeply connected to literature. A platform that links project tracking with reference management and knowledge structuring — like ScholarDock, a research project and reference management platform — saves significant context-switching time.
Avoid tools designed primarily for software engineering or corporate project management. Research workflows have unique characteristics — long timelines, iterative processes, multi-author collaboration, and deep dependencies on literature — that generic project management tools handle poorly.
Step 3: Structure your data
Once you have chosen a platform, build out your project database with properties that reflect the metrics you defined in Step 1. At minimum, include:
Project name — the title of the study, grant, or manuscript
Status — the current stage in your workflow (e.g., Literature review, Data collection, Drafting, Submitted, Published)
Assigned team members — who is responsible at this stage
Deadline or target date — the next key date for this project
Priority — high, medium, or low, based on urgency and impact
Category or type — whether this is a grant application, a journal manuscript, a conference paper, a collaboration deliverable, or an internal project
Notes or context — a brief description or link to the full project page with detailed documentation
Keep your schema lean at first. It is much easier to add properties later than to maintain an overly complex system from day one. Start with what your team genuinely needs to see and update, then expand as your dashboard habits solidify.
Step 4: Build your views
This is where a research lab dashboard goes from a database to a decision-making tool. Create multiple views of the same data, each designed for a specific purpose:
Overview table. A filterable table showing all active projects with their status, deadline, and assignee. This is the default view for lab meetings.
Kanban board by status. A board view where each column represents a project stage. Drag projects between stages as they progress. This gives a visual sense of your pipeline at a glance.
Calendar view. A monthly or weekly calendar showing grant deadlines, submission dates, and milestone targets. Essential for planning around upcoming commitments.
Timeline or Gantt view. A horizontal timeline showing project durations and overlaps. This helps PIs identify periods of high activity and potential resource conflicts.
Team workload view. A board or table grouped by team member, showing each person's active assignments. Use this for weekly check-ins and workload balancing.
With ScholarDock, you can create all of these views within a single workspace and switch between them in seconds. Each team member can set a preferred default view while still having access to every other perspective — so the PI sees the high-level pipeline and the PhD student sees a focused task list.
Step 5: Establish update routines
A dashboard is only as good as the data in it. Establish clear expectations for how and when the team updates their projects:
Daily or every other day: Team members update the status of their active tasks and flag any blockers.
Weekly: The PI or lab manager reviews the full dashboard during a brief lab meeting (15–20 minutes), notes any stalled projects, and adjusts priorities.
Monthly: Review the publication pipeline and grant calendar to identify upcoming deadlines and plan resource allocation for the next 4–6 weeks.
The key is to make updating fast and habitual. If your platform supports quick inline edits — changing a status with a single click, updating a date by typing directly in a cell — your team is far more likely to keep the dashboard current. Platforms like ScholarDock are designed for exactly this kind of low-friction updating, so maintaining your research lab dashboard becomes part of the workflow rather than an extra chore.
Common mistakes when building a research lab dashboard
Even well-intentioned dashboard projects fail when labs make these errors:
Tracking too much from the start. Begin with 5–7 essential properties. You can always add more later. Overloaded dashboards feel like busywork and get abandoned.
Not assigning clear ownership. Every project and task should have a named person responsible for updating its status. "The whole team" is not an owner.
Using the wrong tool for research workflows. Generic project management software built for sprint cycles and product releases does not map well to multi-year research timelines with iterative review processes and complex multi-author collaboration.
Treating the dashboard as a reporting tool only. The best research dashboards are working tools, not just something you update before a lab meeting. If team members use the dashboard actively throughout the week — checking deadlines, updating statuses, leaving comments on project pages — it stays accurate and useful.
Ignoring the connection between projects and literature. Research projects do not exist in isolation from sources, references, and prior work. A dashboard that links to your reference library and literature notes gives each project entry full context. This is where a research collaboration platform that integrates project management with reference management — like ScholarDock — makes a meaningful difference compared to standalone project trackers.
How ScholarDock makes research dashboards effortless
ScholarDock, a research project and reference management platform, is built specifically for the way research teams work. Instead of cobbling together a project tracker, a reference manager, a shared drive, and a communication tool, you get a single connected workspace where your research lab dashboard lives alongside your source library, project documentation, and team collaboration.
Here is what makes ScholarDock the best choice for building your lab's dashboard:
Customizable project views. Build tables, boards, calendars, timelines, and gallery views from the same underlying data — each tailored to a specific audience or purpose.
Integrated reference management. Link sources, papers, and annotated references directly to the projects they support. When you open a project on your dashboard, the relevant literature is right there.
Team collaboration built in. Assign tasks, leave comments, share curated reading lists, and track who is working on what — all within the same workspace where your dashboard lives.
AI-powered research support. ScholarDock's AI tools help extract key findings from papers, suggest related sources, summarize literature for faster review, and keep your materials connected and discoverable.
Flexible knowledge structuring. Connect findings across papers, build conceptual maps, and maintain living literature reviews that evolve as your research progresses — all linked to the projects on your dashboard.
Low-friction updates. Inline editing, drag-and-drop status changes, and quick filters mean your team can update the dashboard in seconds, not minutes.
Whether you are a PI managing ten concurrent studies, a lab manager coordinating team assignments and equipment schedules, or a PhD candidate tracking dissertation chapters and literature reviews, ScholarDock adapts your research lab dashboard to fit exactly how you work.
Start building your research dashboard today
A research lab dashboard is not a luxury — it is an operational necessity for any lab running more than a couple of active projects. The labs that publish consistently, meet grant deadlines, and retain productive team members are almost always the ones with clear visibility into what is happening across every study, every deadline, and every team member's workload.
The steps are straightforward: define your key metrics, choose a platform built for research workflows, structure your data, build purposeful views, and establish regular update habits. The hardest part is not the setup — it is committing to maintaining it as a living tool rather than a one-time exercise.
If your research team is tired of scattered spreadsheets, missed deadlines buried in email, and status meetings that could have been a quick dashboard check, ScholarDock brings your entire research workflow — projects, references, collaborators, and knowledge — into one connected workspace. Build your first research lab dashboard in minutes and see what your lab looks like when everyone is finally on the same page.