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LIMS - Laboratory Information Management Systems. Definitely Niche. I've been doing it for about 15 years and I keep seeing the same consultants over and over

by dalacv 11y ago

LIMS - Laboratory Information Management Systems. Definitely Niche. I've been doing it for about 15 years and I keep seeing the same consultants over and over again. Here's the deal. Most manufacturing companies (think Big Pharma, Petrochemical, Chemical, Widget manufacturing, anything really) measure quality. Those quality measurements are probably done in a laboratory. Every laboratory generates data. All that data needs to be managed well so that the laboratory can maintain its accredidation. Basically, LIMS systems manage samples and lab result data. In addition, they probably integrate with Instruments and instrument software to automate some of that data entry. Other industries besides manufacturing are Govt (waste and wastewater treatment labs), Third-party labs (labs that do testing for other companies), Healthcare (clinical labs), Forensic Labs, and more. Bottom line, there are tons of laboratories and they all need to manage their data. The players in this space are downright stuck in the last decade. There is so much opportunity here for a few new players to come in and make a step-change. I'm currently working on creating a modern LIMS to manage Laboratory data.

aesthetics1 11y ago
A truly informative post. Thanks for telling us something about your niche.
csirac2 11y ago
That's awesome. Would love to know more. I was (only tangentially, really it was my manager) involved with (one of many) LIMS evaluations at CSIRO. I'm under the impression that "Generic" LIMS have awful track records in Australia at universities and research orgs like CSIRO: despite custom software projects also having poor cost/performance outcomes generally, historically it seems there aren't any great examples of LIMS aimed at diverse multidisciplinary research environments which have delivered better outcomes at less cost than even the most horribly expensive over-budget bespoke systems places like this churn out. There is a trail of train wrecks that is failed LIMS projects in this sector, largely from manufacturing/forensics sector thinking their LIMS fits all... The most inspiring thing I saw was work on automated high-throughput materials discovery (I believe the examples at the time were polymers). Instrument operation, experiment design and results capture was done with OWL/RDF... And off it goes: repeatable results where the software drives experiment parameters until a goal or properties are reached. Semantic web tech has a lot of failed promises to answer for but those guys really seemed to make this stuff sing. Seeing what they're modeling/capturing, graph data models might not be such a bad fit, after seeing the contortions we went through in genetic studies trying to capture every facet of every piece of data and its provenance and the provenance of its methods and materials and specimens and specimen preparation and specimen identification and splitting and cloning and so on ad nauseum Better stop ranting. I do software defined radio at dayjob and some silly osint graph-db driven thing I'm playing with at home to help security audit all packages, binaries and hopefully one day in-memory processes in linux/containers :)
- dalacv 11y ago
  You are totally on point about the one-size-fits LIMS for QC Labs not working in the research lab. It's my observation that research labs need a solution that is much more dynamic than the traditional LIMS. I like your comments regarding OWL/RDF. I will have to look into that. I know of a few Chemical / Polymer mfg. companies who are still using their homegrown LIMS-slash-PLM systems to manage new materials research. The thing I love about this field the most is working along side very intelligent chemists and engineers and helping them automate their labs. The appreciation factor is through the roof when you can remove manual data entry and help them advance their laboratory throughput.

by dalacv 11y ago

aesthetics1 11y ago

A truly informative post. Thanks for telling us something about your niche.

csirac2 11y ago

That's awesome. Would love to know more. I was (only tangentially, really it was my manager) involved with (one of many) LIMS evaluations at CSIRO. I'm under the impression that "Generic" LIMS have awful track records in Australia at universities and research orgs like CSIRO: despite custom software projects also having poor cost/performance outcomes generally, historically it seems there aren't any great examples of LIMS aimed at diverse multidisciplinary research environments which have delivered better outcomes at less cost than even the most horribly expensive over-budget bespoke systems places like this churn out. There is a trail of train wrecks that is failed LIMS projects in this sector, largely from manufacturing/forensics sector thinking their LIMS fits all... The most inspiring thing I saw was work on automated high-throughput materials discovery (I believe the examples at the time were polymers). Instrument operation, experiment design and results capture was done with OWL/RDF... And off it goes: repeatable results where the software drives experiment parameters until a goal or properties are reached. Semantic web tech has a lot of failed promises to answer for but those guys really seemed to make this stuff sing. Seeing what they're modeling/capturing, graph data models might not be such a bad fit, after seeing the contortions we went through in genetic studies trying to capture every facet of every piece of data and its provenance and the provenance of its methods and materials and specimens and specimen preparation and specimen identification and splitting and cloning and so on ad nauseum Better stop ranting. I do software defined radio at dayjob and some silly osint graph-db driven thing I'm playing with at home to help security audit all packages, binaries and hopefully one day in-memory processes in linux/containers :)

dalacv 11y ago
You are totally on point about the one-size-fits LIMS for QC Labs not working in the research lab. It's my observation that research labs need a solution that is much more dynamic than the traditional LIMS. I like your comments regarding OWL/RDF. I will have to look into that. I know of a few Chemical / Polymer mfg. companies who are still using their homegrown LIMS-slash-PLM systems to manage new materials research. The thing I love about this field the most is working along side very intelligent chemists and engineers and helping them automate their labs. The appreciation factor is through the roof when you can remove manual data entry and help them advance their laboratory throughput.