In the last two years, the pandemic propelled the growth of scientific data management systems (SDMS) significantly. Research data management, in general, is challenging, but with the emergence of cloud-based management, lab researchers, scientists, and analysts can now better store and search for lab data and knowledge, speed up workflows and approval processes, and optimize staff collaboration. Any lab—clinical, research, contract, or pharmaceutical—can use SDMS to ensure data integrity, regulatory compliance, and a single source of truth.
The best scientific data management systems manage unstructured data formats, analyze data and create lab reports, import/export data, interact with lab instruments, systems, and databases for interoperability, and integrate LIMS and e-notebooks.
This guide gives you the trends to watch out for in SDMS, the importance of this system, and list of SDMS worth looking into.
Scientific research is one activity that the world can’t do without. Research by top environmental and medical scientists alone is vital, not to mention those of other scientific experts. While the United States has been taking a lead in scientific research, the demand for more scientific research is a global phenomenon. Even Japan is looking to revitalize its research.
Here are trends that every organization doing scientific research and development ought to watch out for.
In fiscal year 2022, the U.S. government awarded $38.4 billion in grants from $30 billion the previous year. Scientific and health research remain to take up a big chunk of this budget with 42% in 2022. (TAGGS, 2022)
The substantial grants allow government scientific agencies to update their lab inventories and manage them with capable lab inventory management software solutions.
Source: U.S. Department of Health and Human Services
Meanwhile, the National Institutes of Health (NIH) spent $17.6 billion on clinical research in 2021, which include the cost spent in clinical research software, not so much different from the previous year. However, the spending is expected to rise to around $18 billion in 2022 and 2023. (NIH, 2022)
Source: National Institutes of Health
Over three-quarters of Americans say investing in research is important, with 92% saying finding new ways of preventing, treating, and curing new illnesses is vital. About 90% say ensuring the safety and availability of clean water is important while 87% find preventing another pandemic is crucial. (Research!America, 2022)
The U.S. research and development market for physical, engineering, and life sciences is expected to reach $183 billion by 2024 (Statista, 2021a) while scientific R&D services are expected to generate $188 billion. (Statista, 2021b)
More than half of American adults believe the U.S. will lead in science and technology in 2030. In 2010, the U.S. led in life science technologies. In 2018, the country had 1.9 million bioscience jobs, with the majority in research, testing, and labs. (Research!America, 2022)
During the COVID-19 pandemic, biotech companies like BioNTech and Moderna developed and manufactured vaccines in record time. The NIH spent $7,847 million on biotechnology in 2021 and is expected to spend around $8,000 billion in 2022. (NIH, 2022) Now is the era of biotech, and investors are driving the shift from pharma. The works of biology and biochemist scientists have become ever more crucial.
With capable personnel helped by the best LMS for employee training, the U.S. biotech companies are expected to remain at the forefront of this crucial industry.
Source: National Institutes of Health
The SDMS market is expected to grow at an 8.30% CAGR until 2027. Demand for lab automation will boost the market whereas cloud-based laboratory informatics will create new market opportunities. Development of integrated lab informatics solutions, rising demand from academic research institutes, growing use of lab informatics solutions in the cannabis industry, and technological advancement are expected to drive the SDMS market. (Data Bridge, 2021)
The global laboratory informatics market (LIM) is expected to reach $5.6 billion by 2026, up from $3.4 billion in 2021. This market is driven by the growing need for laboratory automation, biobanks/biorepositories, and pharmaceutical/biotech R&D spending. Lack of integration standards and interoperability challenges may limit the market growth. (Markets and Markets, 2022)
Lab researchers, scientists, and analysts constantly store, analyze, and process countless scientific data. All this data must be stored securely while allowing authorized users and units easy access. This is where SDMS becomes crucial.
Here are the benefits of using SDMS.
Labguru is a cloud-based desktop and mobile ELN, LIMS, and informatics platform for life science research and industry. It maintains laboratory data and inventories, contains molecular biology and chemistry tools, automates the lab, and provides data insights to make labs function more efficiently. Labguru lets scientists build experiments and workflows, capture organized and unstructured data, and manage projects. Custom experiment templates, protocol integration, and other cutting-edge features improve data quality, expedite operations, and save expenses.
SciNote supports experts in government, industrial, SME, and academic research labs. Its mission is to help humanity benefit from science and preserve research data. SciNote helps researchers looking to cut costs and boost lab productivity.
Benchling is a modern research platform that connects the entire R&D lifecycle, from project documentation to sample management. It replaces legacy ELN and LIMS with seven integrated apps: Notebook, Molecular Biology, Registry, Inventory, Requests, Workflows, and Insights, providing a unified platform and seamless user experience for codeless configuration, lab automation, and API use. Benchling helps forward-thinking companies accelerate their digital lab transformation to make better, faster decisions.
MediaLab Document Control manages policies, procedures, and documentation. It ensures compliance with all standards, regulations, and best practices. It also provides an automated, centralized platform for document approvals, workflows, edits, sign-offs, audits, and more. The system is flexible and customizable, ready to meet lab needs.
Genemod accelerates life sciences R&D by improving team collaboration so scientists can focus on big ideas. Genemod’s cutting-edge technology speeds up therapeutic breakthroughs. This lab software centralizes and streamlines the R&D lifecycle, from data acquisition to inventory management and reporting.
Fink & Partner GmbH’s Quality Management [FP]-LIMS improves quality, reduces costs, and streamlines lab processes. [FP]-LIMS gives you a unified management system to monitor all your individualistic work processes and fulfill your documentation obligations to avoid errors, manage samples, evaluate KPIs, and react quickly to workflow bottlenecks.
Labstep combines ELN, LIMS, LES, and order management in a single collaborative environment. It streamlines research data documentation and knowledge transfer by capturing real-time process data. It automatically creates an audit trail of research activity, saving researchers time and boosting productivity.
MediGrid‘s smart data ingestion engine structures, curates, transforms, and harmonizes data, allowing researchers to conduct multi-study analyses or review adverse effects across studies. Throughout your research, you need a real-time view of patient safety, especially when monitoring AE and SAE before or after market introduction. MediGrid can detect and warn about safety risks, improving patient safety and protecting your reputation. Ultimately, MediGrid makes data FAIR: Findable, Accessible, Interoperable, and Reusable.
SciCord ELN/LIMS meets lab and manufacturing requirements. Validated formulas eliminate calculation errors, improving compliance. Automatic entry verification flags Out-of-Spec situations. Intelligent scans alert reviewers of potential precision, balance, calibration, and validation issues. Electronic signatures and audit trails comply with CFR 21 Part11. Custom parsing on attached files extracts instrument data and records it in SciCord experiments for calculations, statistical analysis, and/or summarization. Ultimately, SciCord makes scientific data management simple.
Thermo Scientific SampleManager LIMS combines laboratory management, data management, an electronic lab notebook, and process execution or procedural ELN in a single solution. This software is used by pharmaceutical, food and beverage, oil and gas, petrochemical, water and environmental, manufacturing, and contract testing laboratories across all industries. SampleManager LIMS can be deployed on-premise, on a customer-managed cloud, or on Amazon Web Services’ fully managed cloud (AWS).
Shimadzu LabSolutions offers an innovative operating environment and complete data management for networked labs. It allows pharmaceutical, chemical, and food industries to use LCs and GCs for quality control and R&D. It is a faster and easier-to-use software that addresses increasing demand for analysis of samples. It ensures compliance with regulations and guidelines and efficient management of instruments and analytical data.
Contact Shimadzu for pricing
RSpace is based on modern technologies and designed for academic institutions.
It is an affordable and secure electronic lab notebook (ELN) that catalyzes research and allows organizations to enjoy the benefits, efficiencies, and long-term cost savings of centralized, paperless data storage, lab management, IP protection, secure collaboration, sample tracking, and integration with your institute’s existing archiving system.
WindWedge is a serial data collection and management software. IT can capture data directly to Excel, Access, or a web page. You can control your device with hot keys, buttons, and DDE via a COM port. The software also collects data from scales, meters, sensors, micrometers, GPS, PLCs, and analyzers. It can parse, filter, and format your device data and control instruments via the serial port.
Uncountable is a cloud-based LIMS that helps material, chemical, and life sciences companies manage, share, and analyze experimental data. Researchers can search the repository for experiment data by measurements, ingredients, or process parameters. It lets users create recipes, track outputs, and correlations, and perform complex calculations. The AI-powered platform predicts formulation performance and offers optimized suggestions. Supervisors can assign and notify lab requests. Users can design experiments and test hypotheses.
STARLIMS supports organizations’ changing data management demands. Its SDMS stores your lab’s documents and data and simplifies access and sharing. STARLIMS’ other informatics applications collect, process, and evaluate data to speed up product development. It provides data and insights at every stage of medication discovery and safety. Its analytics products’ data visualization features help make confident business decisions.
Cytobank is a cloud-based platform for machine-learning-assisted single-cell data processing. Enterprise licenses give larger research teams in institutions, biopharma R&D, or clinical research organizations access to a private cloud. Cytobank lets you manage and store flow cytometry, mass cytometry, and other single-cell data from any web-based device.
LabKey is a highly flexible lab data management software for data integration, analysis, workflows, security, and compliance. Data from laboratory instruments, software, and other databases can be readily integrated into one safe system. LabKey maintains the integrity of your data with quality control workflows and automation tools. Its data can be studied using built-in visualization and reporting tools or third-party software.
Arxspan Assay is a biological data management system designed for centrally administered studies with various research sites. It gives study coordinators an integrated view of study activities and assay results from research teams and empowers individual researchers to collaborate. It is a fully web-based data management and collaboration tool that lets you manage lab workflow and processes in a single system without custom coding. It enhances internal and external research collaboration.
NuGenesis SDMS is an automated data repository. It imports all instruments, researchers, and external data into a consolidated repository. You may quickly start research, exchange outcomes, and share data. It automatically captures, indexes, and stores lab data in a regulatory-compliant environment following creation or modification. The software manages printed data, including instrument reports, converting data to IUPAC JCAMP-DX and other non-proprietary formats.
ACD/Labs Data Management and Informatics support key instrument vendor formats and chromatographic peak structure assignment. Process separations experiments and construct application databases to exchange expert knowledge. Share analyzed data to enhance organizational decision-making. Create a searchable database of lab knowledge.
More Americans are expecting increased funding for research and development, particularly in science and technology. Research companies and academic institutions are responding to this, with their scientists, lab workers, and other STEM professionals leveraging the higher government budget allocation on top of more available grants to expand the world of scientific knowledge and extend technological innovations.
Getting one of the best scientific data management systems is more important now than ever. Managing scientific data and collaboration is now easier with more advanced SDMS made available over the cloud.