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
Todays 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.
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.
LOGS – developed with constant user feedback since 2014
LOGS started off as a pilot project at the Biological Magnetic Resonance Center (BMRZ) at the Goethe University Frankfurt.
Today, it is successfully being used on a daily basis, in the institute which incorporates over six research groups, ca. 100 users, and over 20 NMR and EPR spectrometers
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: email@example.com
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 firstname.lastname@example.org
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 email@example.com
*FAIR: Findable, Accessible, Interoperable, Reusable