your platform for data management
Developed for your pharmaceutical R&D processes.
manage, trace and control all your data and workflow in the field of pharmaceutical modeling & simulation, biostatistical analysis and data science
improve is a repository allowing scientists to perform their daily work, in a secured, validated and versioning-controlled environment. It combines a global, secure file repository with a robust and versatile modeling management interface for third-party tools like NONMEM®, MATLAB®, Monolix®, Pumas, SAS®, R, PsN, Rstudio and others.
With improve you can easily streamline all your modeling, simulation, analysing and data science efforts while useing your preferred tools.
The main concept behind improve is that it allows you to control and trace your entire modelling and simulation workflow. No matter which analysis you choose, improve will keep track of the ‘who, what, when, where and why’ of your data (21CFR part 11 compliant).
You are completely free to make decisions about the analysis you want to perform and which actions you want to take within your third-party tool of choice. In short, whatever actions you perform on your data, improve will help you to keep track of your files and your decisions.
global and secure file storage
The repository provides global and secure file storage that allows access for all users within an organisation. Every file and folder that exists in the repository is version and security controlled. The repository server uses HTTPS to communicate with its clients. Authentication can be performed using an LDAP Server like ActiveDirectory. A sophisticated authorisation mechanism allows you to protect your files. You can host multiple repositories, to be accessed by all users. The repository server may be accessed by the improve workbench or read only using the web based improve repository browser.
represent any complex analysis as an easy to read hierarchical diagram
In the blink of an eye analysts can see which model is used, what its input and output values are, how it was combined in the analysis, what specific tool was used or simply whether it was executed or not. Core features are:
For our customers, data collection and management is a key factor for research and business success.
In order to get valuable information of the collected and processed data in terms of the data’s movements, characteristics, and quality, a strong data lineage solution is essential.
By capturing the WHO and WHEN in a detailed way, improve is capable of simply exporting audit trails for any resource of interest.
As audit trails become more and more a base requirement for regulatory project submissions, improve provides the detailed audit trail at any time with a few clicks.
improve generates a new version of a file each time it is modified. Users can browse parental and revision history of files or compare different history versions of files.
This gives you a deep insight into the evolution of your data. If an older version of a file is identified as more relevant it can be set to being the most recent one with a click.
data manipulation graph
By introducing the data manipulation graph (DMG), the improve platform was extended with a flexible and fast data provenance visualization framework.
Using the DMG, users can browse their data interactively based on their parental history, and actual tool executions can be performed on it.
A combination of full text and structured search helps the users to discover and retrieve data.
The reuse of code and documentation lowers lead times and risks. Publishing features keep the data within the system and prevent parallel storage.
improve gives you the possibility to document your thoughts and decisions for every action.
This makes it easy to reuse your work for yourself, your organisation or even larger collaborations.
improve run environment
improve supports manifold run environments. You can run your jobs locally, on grids or docker containers.
Docker provides a stable environment during the analysis and gives full control over all software versions.
Distribute the complete environment used for the analysis including all the software, a script to run the analysis and even the data.
Multiple possibilities to integrate grid technologies (SGE, LSF, Slurm) within the improve run environments help your organization to leverage your in-house HPC resources.
Grid options and queue selections can optionally be surfaced to the user. Live monitoring of output files and processes help keep track and stop erroneous runs if necessary.
A local run environment allows the user to integrate and configure their own tools. improve is a transparent workbench offering tools for reviewing and reproducible executions.
This allows the organisation to keep their own workflows. Free exploratory work can happen besides validated regulatory compliant work.
improve saves time, enhances efficiency and makes collaboration easy.
Apart from modeling & data simulation improve includes tools and features for team communication and collaboration, offline work, messaging and notification services, review services and reporting plus a scalable search interface and an extensive API.