The data repository for spectroscopists

Developed in cooperation with academic and corporate partners

LOGS is a research data management platform for your lab, research facility or department.

Keep data findable

Filter and find lab data using tags and text search. Group and download data by sample, people, instruments and more.

Retain original data

Research data files are retained in the original format straight off the instrument. Files are hashed to detect tampering.

Make data accessible

Find and download your data easily, using the web browser. Use permission system to tailor data accessibility.

Keep data reproducible/reusable

Metadata necessary to keep data reproducible and reusable are stored in LOGS, linked with the primary data.

A navigation tool for scientific data

Today’s labs generate data with various measurement methods, on multiple instruments, by multitudes of scientists and on arrays of samples.

The resulting masses of digital data make pinpointing and retrieving files prohibitively time consuming.

LOGS keeps data transparent with data indexing, search functions and tagging, making searching, sharing and retrieving data straightforward for scientists and their collaborators.

Run LOGS locally on your hardware, or let us host it for you online.

Data is secured after acquisition and available for perusal and download via web browser

LOGS copies data automatically from instruments

LOGS monitors spectrometers periodically and uploads newly acquired data straight from the instrument.

The result is a complete data repository, independent of manual upkeep. Automatic indexing of datafiles is carried out with the upload.

Researchers obtain measurements from LOGS

With LOGS, researchers can access their data from anywhere, to

  • inspect finished acquisitions
  • download data for further processing or analysis
  • retrieve and discuss relevant datasets at seminars
  • communicate and share data with collaborators

LOGS has a number of features designed to keep data transparent and accessible from the moment the acquisition is started

Many features have their origin in suggestions by users

The LOGS dashboard allows monitoring of running acquisitions. Snapshots of spectra can be displayed by clicking the measurement rows.

Further features include inspection of spectra, comparisons of experimental parameters, linking to documents and publications. See screenshots below.

Selected screenshots

Interested ?


If you would like to be kept up to date about new functionality (and nothing else), drop us a line with your email address.


If you are interested in a free trial, we’ll be happy to send you a download link and help you get set up, free of charge. Let us know:

Questions? We have compiled a list of the most frequently asked questions for you.

What are the server hardware requirements for LOGS?

LOGS runs best on PCs with the following minimum hardware specifications

  • CPU – 2 cores or more
  • RAM – 4 GB or more
  • HDD – 1 TB or more, depending on your projected need for storage space. We recommend using a RAID1 for data storage
What operating systems are used with LOGS?

LOGS has been tested most thoroughly on the Linux operating systems

  • CentOS 7.x, 64 bit
  • Ubuntu 16.04 LTS or newer, 64 bit
How does LOGS retrieve data from the lab instruments?

LOGS can be configured to automatically retrieve data from spectrometer PCs via SFTP.

In the vast majority of todays labs, researchers obtain the acquired data from measuring instruments with the help of SFTP transferral. LOGS uses the same route.

Can you tell me something about the LOGS pricing?

LOGS is licensed on an annual basis, or for multiple years. For a quote, contact us at

Academic and governmental institutions enjoy reduced rates. Also, we are happy to give LOGS introductions, and help with setting up LOGS in the lab, free of charge. This includes an eight week trial period.

As academics, how can we finance LOGS?

LOGS enables academic scientists to fulfill GLP practices and obligations which academic funding bodies are outlining for scientists, such as the FAIR* principles and reproducibility of data, etc. at the local group level.

As a consequence, for academics in Germany, LOGS financing has recently been approved by the German Research Foundation (DFG) within research project applications.

If you are writing grant proposals, we would be happy to pass on information concerning past successful applications. Send an Email to

*FAIR: Findable, Accessible, Interoperable, Reusable

SIGNALS – People

Alexander Fritze Web platform
Code architecture
Martin Haehnke Cloud infrastructure
IT administration
Fabian Hiller Product Management
Software Development
Carolin Hacker Marketing & Communication
Sina Kazemi Product Development
Scientific data integration
Jakob Lopez Managing Director
Christian Kirsch
advisory board Marketing strategy
Melanie Dornhaus
advisory board
Thorsten Maly
advisory board