Data entry & management support for research & policy organizations

Research and policy work generates a constant stream of structured data — survey responses, legislative tracking spreadsheets, grant reporting tables, and literature review databases — that needs to be accurate, consistently formatted, and ready for analysis. When that data entry backlog sits on a researcher's desk, it slows down the work that actually matters. A Trusty Oak EA handles the data processing so your team stays focused on analysis, writing, and stakeholder engagement.

Fractional data entry & management support for research and policy organizations

How Trusty Oak handles data entry & management for research and policy organizations

A Trusty Oak EA assigned to a research or policy client typically works within tools like Excel, Google Sheets, Airtable, or REDCap to enter, clean, and organize data according to your established protocols. Day-to-day, this might mean transcribing interview notes into a coded spreadsheet, updating a policy tracking database with new legislative developments, or cross-referencing survey data against a master dataset to flag inconsistencies. Your Client Success Manager works with you upfront to document your data standards and naming conventions, so the EA isn't guessing — they're following a clear process you've approved. Your role is to review outputs periodically and flag any protocol changes; the EA handles the repetitive execution. Over time, many clients also have their EA build out templates or dashboards that make future data collection faster and more consistent.

What your EA takes off your plate

Before your first session, pull together one example of a completed dataset — something that already looks the way you want the output to look. The most common mistake is handing over raw data without a reference standard, which forces the EA to make formatting decisions that should be yours. Even a one-page data dictionary or a filled-in template row will cut onboarding time significantly and reduce back-and-forth.

Survey and Interview Data Entry

Transcribing responses from Qualtrics exports, paper instruments, or recorded interviews into structured spreadsheets or databases formatted for statistical analysis.

Legislative and Regulatory Tracking Updates

Monitoring bill status, regulatory comment periods, or policy changes and updating a tracking database or Airtable base with current information, dates, and relevant notes.

Literature Review Database Maintenance

Entering citation data, abstracts, methodology tags, and key findings from sources like PubMed, SSRN, or Google Scholar into a Zotero library or structured review spreadsheet.

Grant and Program Data Reporting

Pulling output and outcome figures from program records and populating funder-required reporting templates with accurate, consistently formatted data.

Data Cleaning and Deduplication

Reviewing datasets for duplicate entries, formatting inconsistencies, or missing values and correcting them according to your codebook or data dictionary before files go to analysts.

Tools our team works with

We adapt to your existing stack — no forced migrations.

QuickBooks

Microsoft Excel

Salesforce

HubSpot

Airtable

Google Sheets

...and many more!

Trusted by research and policy organizations

Trusty Oak supports research and policy organizations including Clayton Christensen Institute — handling everything from data entry & management to broader operational support.

What data entry & management support costs for research and policy organizations

Drag the sliders to build a monthly plan that fits your workload.

Executive Assistants

~$35/hour

25 hours $875

Specialists

~$50/hour

5 hours $250

Fractional Executives

~$95/hour

0 hours $0

Your monthly budget

$1,125

Starting at $1,000/month. One-time $300 onboarding fee includes your Strategic Delegation Plan.

Book a Discovery Call

Frequently Asked Questions

Can a Trusty Oak EA work inside our secure research databases or restricted-access platforms?

Yes, EAs can work within platforms you grant access to, including REDCap, secure SharePoint environments, or password-protected grant portals. You control access levels and can revoke them at any time. If your data involves IRB restrictions or confidentiality agreements, share those requirements during onboarding so your Client Success Manager can document the appropriate protocols.

How do you ensure data accuracy when the EA is entering large volumes of research data?

Accuracy starts with clear protocols — your EA works from a data dictionary or entry guide created during onboarding, not from interpretation. For high-stakes datasets, many clients build in a spot-check step where the EA flags uncertain entries for researcher review rather than guessing. Trusty Oak EAs are experienced with structured data environments and understand that precision matters more than speed in research contexts.

Is 64 time entries across all industries enough experience for specialized research data work?

That figure reflects logged time entries across Trusty Oak's full client base for this service category — it's a real number, not inflated. Research and policy data entry is a specific context, and we'd rather be transparent than oversell. What we can offer is a US-based EA who is detail-oriented, follows documented processes rigorously, and has a Client Success Manager ensuring the setup is right before work begins. If your data work requires domain expertise in a narrow field, that's worth discussing during your consultation.

Put your data entry backlog to work

Start with a $1,000/month talent budget and a Strategic Delegation Plan built around your research workflows. One-time $300 onboarding fee, with unused hours that roll over each month.