Data is an asset,
not a resource
Biotech organizations have extremely limited time, resources and bandwidth. That makes it vital to focus their energy on the things that are most likely to move the needle. In the past, data management was at the very bottom of that list. Most experiments were designed to answer a single, highly focused question, making it difficult for bench scientists to think about longer-term uses. Why invest scarce time and energy in curating data that you don’t plan to use again?
INFINITE POTENTIAL: THE DATA REVOLUTION
Today, however, the industry is changing. AI and Machine Learning are creating new opportunities to answer much broader questions than lab data was originally intended for. In fact, they require this data to train models that will rise above the pack. So leveraging data beyond its original scope is no longer just a nice to have - To be competitive in biotech, it’s increasingly an imperative.
A PARADIGM SHIFT
Biotechs of the past treated data as a resource that they used once and then threw away. They were effectively burning it like oil. The successful biotechs of the future will treat data as an asset that continues to compound value the longer they keep it. But like any asset, this can only happen if they invest in maintaining it.
DATA: REIMAGINED
Data bundled with metadata is doubly as valuable, allowing teams to trust, find and reuse data to create multiple successful outcomes. With metadata, organizations can make better, faster decisions, and rely on their data assets to lead the way.
RICH METADATA DOESN'T HAVE TO BE HARD
QUILT IS HERE TO HELP
Quilt is redefining the data management landscape, making it straightforward for teams to amass, oversee, and access datasets enriched with comprehensive, accurate metadata. Catering to both computational and experimental scientists, Quilt is your ally in harnessing the true power of your data.
If you can't find the data, you can't reproduce the analysis.
The Dream of Reusable assets
Ultimately, it isn't enough for data to be well organized and results to be reproducible. If organizations can't reuse datasets for new purposes, the data is effectively still a single-use resource.
The main thing that prevents datasets from being usable in a wider context is an incomplete understanding of their context and their relationship to other data.
The main thing that prevents datasets from being usable in a wider context is an incomplete understanding of their context and their relationship to other data.
Unfortunately,
Data without context is not reusable
LINKED DATA IS REUSABLE DATA
The final step in moving from data as an expendable resource to data as a reusable asset is to begin linking data to other datasets and resources that will allow teams to recreate and understand the original context, and understand how the data can be leveraged in new ways.
Ready to get started?
These are hairy problems, and they’re more common than most biotech startups are willing to admit. Overcoming them takes time, resources and bandwidth that are in short supply. But more importantly, the problem can feel overwhelming for a biotech team whose expertise is in computational biology and data science, not in data management.
QUILT IS HERE TO HELP
That’s why we created Quilt to address the specific challenges of managing biotech data by minimizing the effort needed to turn your data from a resource into an asset.
