Frequently Asked Questions
Find answers to common questions about Helse Research Lab's tools and services
How does team collaboration work?
Teams can be created with multiple members who get access to shared projects and documents. Team members can edit documents with changes tracked in real-time. Team owners can manage permissions and projects, while all members can contribute to documents and share references across the team workspace.
What writing assistance is available?
Our writing tools provide advanced formatting options, structural templates, and organizational features tailored to academic writing. The editor includes discipline-specific formatting tools and document templates for various research outputs, from lab reports to dissertation chapters.
Can I import references from other citation managers?
Yes! We support seamless importing from major citation managers including Zotero, Mendeley, and EndNote. You can import .bib files, RIS formats, or connect directly to your existing library to maintain your reference collection.
Is my research data secure?
Absolutely. We employ end-to-end encryption, regular security audits, and strict data protection protocols. Your research data is stored securely with enterprise-grade protection and never shared with third parties.
What citation styles are supported?
We support all major citation styles including APA, MLA, Chicago, Harvard, IEEE, Vancouver, and discipline-specific formats. Our citation engine automatically updates to the latest edition of each style guide.
How many team members can collaborate on a project?
Up to 5 team members in our standard plans. Our team plans support flexible collaboration needs, from small research groups to large departments. Everyone gets access to shared projects and documents with role-based permissions that ensure appropriate access to sensitive research materials.
What platforms is HelseWeb available on?
HelseWeb is a cloud-based platform accessible through any modern web browser on desktop and mobile devices. We also provide dedicated apps for iOS and Android that allow for offline access to your research materials.
How does HelseWeb's AI research assistant work?
Our AI assistant uses advanced natural language processing to help with literature reviews, summarizing papers, generating citation suggestions, and improving your writing. It's trained on millions of academic papers and adapts to your specific research domain over time.
Is HelseOpen source code available to view?
Yes, HelseOpen is fully open source and available on GitHub. You can inspect the code, contribute improvements, or even self-host your own instance. We believe in transparency and community-driven development.
Can I export my data if I decide to stop using Helse?
Absolutely. We offer comprehensive export options in standard formats like PDF, DOCX, BibTeX, CSV, and more. Your data belongs to you, and we make it easy to take it with you should you ever decide to use another solution.
What kind of support do you offer?
We provide email support for all users, with priority support and dedicated account managers for enterprise customers. Our documentation is comprehensive, and we regularly host webinars and training sessions for new users.
Are there educational discounts available?
Yes, we offer special pricing for educational institutions, students, and academic researchers. Contact our sales team or visit the pricing page for more information on our educational programs.
What kind of documents can I create and manage in Helse?
Helse is perfect for all your writing needs! You can create, edit, and collaborate on research papers, articles, class notes, project reports, and pretty much any text-based document. We support common formats like TXT, Markdown, and HTML, and you can easily export your work to PDF, DOCX, and LaTeX.
Can Helse help me understand and analyze the text from my research articles or other documents?
Absolutely! Helse has smart AI features that can help you make sense of imported documents. It can assist with things like summarizing key findings, identifying main themes, and generally getting a quicker understanding of textual information to support your research.
I have data in spreadsheets, like CSV files from experiments or surveys. Can I work with those in Helse?
Yes, you can! Helse includes a handy web-based Python IDE that comes with the popular pandas library. This is great for working with data from CSV or JSON files. You can use it to clean up your data, do some basic analysis or calculations, and prepare tables or summaries to include in your written reports. It's best for datasets that are manageable in size – perfect for a lot of common research tasks!
What about other types of files, like images, videos, or very large scientific datasets?
You can certainly store various files related to your projects in Helse's central library to keep things organized. However, Helse's direct processing tools (like the Python IDE and AI features) are primarily designed for text-based information and smaller, structured data files (like CSVs). For very large or specialized files (e.g., raw genomic sequences, high-resolution microscopy images, large video files), you'd typically use dedicated software designed for those types of data first. Then, you can bring your findings, analyses, summaries, and smaller data tables into Helse to write about them and collaborate with your team.
Can I run any Python script I want in Helse's built-in code editor?
Helse's Python editor is super useful for scripts that work with data like text, CSVs, and JSONs, especially using libraries like pandas. It's designed to help you with data manipulation and analysis tasks that directly support your research writing and project work within Helse. However, it's a browser-based environment, so it's not set up for Python scripts that require massive computing power, extremely long run times, or specialized external software and libraries that can't run in a web browser.
So, what's the "sweet spot" for data that Helse processes best?
Helse really shines when you're working with all the data and information that goes into your research writing, project management, and collaboration. This includes your written documents, notes, and drafts; textual information you want to analyze or summarize with AI; manageable datasets (like CSVs or JSONs) that you want to explore, clean, or perform light analysis on using Python; and your bibliographic data and references.
Still have questions?
Our team is ready to help you with any other questions you might have about our products and services.