AWS Partner Network, Coronavirus info center, Sorbonne declaration, big data in bioprocessing, and more
Say Hello to 34 New AWS Competency, MSP, and Service Delivery Partners Added in January
From AWS Partner Network Blog
TetraScience Take: After a rigorous process, we are delighted to announce that we have achieved the AWS Life Sciences Competency designation through the AWS Partner Network (APN). Of the 34 companies achieving such designations in January 2020, we are the only one with the Life Sciences Competency. We look forward to a long partnership with AWS in our quest towards the cloud-based Digital Lab.
Excerpt: "...To receive APN program designations such as AWS Competency, AWS Managed Services Provider (MSP), and AWS Service Delivery, organizations must undergo rigorous technical validation and assessment of their AWS solutions and practices." Blog post
Data Scientists Get all the Glamour But, Wow, Is There a Need for Data Engineers
From The New Stack
TetraScience Take: The impact of data engineering on data science, AI, machine learning, etc. is often severely underestimated or unrecognized. At the same time, finding a qualified data engineer is extremely challenging - even harder than finding a data scientist. We definitely support the suggestion in this article to invest in solutions that will do the data engineering for you when possible.
Excerpt: "...Since media has focused on the data science talent gap, there is now a plethora of suggestions to address it. For tackling the data engineer skills gap, not too many exist.
Let me put forth a few:
- Look inside your company: You can increase your data engineering expertise without relying on the availability of outside candidates by training current personnel in data engineering frameworks, programming languages, and systems.
- Invest in technology: You’ll need fewer data engineers if you invest in solutions that automate data engineering processes and workflows.
- Imagine the future: Be ready for the surge in R&D, DevOps, and IT budgets as data engineer salaries climb. Adopt a holistic view of your data operations..." Full story
TetraScience Take: Bob Grant is right - the advancements in life sciences over the last decade have been truly remarkable. Gene therapy, RNAi based therapy, personalized medicine, CAR-T cell immunotherapy, human genome sequencing, CRISPR genome editing, and more. The advancements coming in the next decade are poised to outpace these...if we can manage the accelerating volume and types of data driving the innovation. We need to break down the data silos, activate the flow of data, and provide data producers and consumers with easy, scalable ways of getting what they need.
Excerpt: "...As is often the case with science, these breakthroughs do not represent the crossing of finish lines, but rather serve as starting points. The 2020s and decades to come likely hold in store discoveries and applications that will prove even more momentous.
As biologists forge ahead, a common theme emerges: as one teases apart more and more of life’s complexity, the chore of gathering, sorting, storing, and analyzing data becomes tougher and tougher.
But in this arena, too, science has answered the call. Bioinformatics has made impressive strides in recent years, especially in enhancing researchers’ ability to handle unwieldy datasets using artificial intelligence." Full story
From Big Data to Precise Understanding: The Quest for Meaningful Information
From BioProcess International
TetraScience Take: Compelling argument here that even though biopharma has entered the realm of big data, the commonly held belief that big data itself is the reason meaningful insights are not being extracted is not correct. Instead, the real culprits are lack of time to handle the data, lack of integration of diverse datasets to add context, and lack of tools to discover insights. Solutions to many of these bioprocessing data challenges are out there, and getting better every day (like our Data Integration Platform).
Excerpt: "...Although data have been generated for decades in the biopharmaceutical sector, the precarity of data management solutions in many companies renders exploitation of those data almost impossible. This consideration of historical bioprocess data also raises the question of data “longevity.” Indeed, data support and experimental techniques are evolving continuously, making it difficult to extract data from obsolete storage supports (e.g., floppy disks) and to compare data generated using different generations of experimental technologies — such as serial analysis of gene expression (SAGE) compared with RNA sequencing (RNAseq). Thus, the main problem with biopharmaceutical datasets is not related to their size but more likely to the time researchers require to handle those data, including integration of diverse data sources and extraction of meaningful information from such integrated datasets." Full article
Novel Coronavirus Information Center: Elsevier’s free health and medical research on novel coronavirus (2019-nCoV)
TetraScience Take: A major challenge across healthcare and life sciences is the sharing of credible information. Elsevier is contributing to the solution for the current coronavirus situation by putting all their related research in a single information center, free and open to all healthcare professionals, scientific researchers, and the public.
Excerpt: "...The goal of this website is to open whatever resources we can to help public health authorities, researchers and clinicians contain and manage this disease. We will provide continually updated resources from Elsevier's content and experts. Our resources span scientific and medical journals and textbooks, educational products, and a variety of other resources, like travel precautions from the CDC and media posts of interest to our community.
The site is curated by clinical experts from our Global Health business and updated frequently to keep pace with evolving knowledge.
Elsevier, Cell Press and The Lancet have also joined the signatories on the Wellcome Trust’s Statement designed to ensure that research findings and data relevant to this outbreak are shared rapidly and openly to inform the public health response and help save lives.." Information Center | Press Release
Universities Push for Greater Global Open Access to Research Data
Reported by Go FAIR
TetraScience Take: Nine major networks representing over 160 of the main research-intensive universities worldwide signed the Sorbonne declaration on research rights at the end of January. This declaration encourages sharing research data as much as possible, in a FAIR manner. This seems like a big step forward - if we can train tomorrow's researchers to share data today, we can change the landscape of research-sharing policies across the board. And in order to share data easily, we need to activate the flow of data using common ontologies, quality standards, formatting, etc. We also need a central location to store the data.
Excerpt: "...This declaration encourages the involved universities and their researchers to share data as much as possible, and in a FAIR manner. It heartens the setup of training and skill development programs for the creation of an open research data environment. Next to the commitments within their own networks, the signatories call on the global scholarly and research community to join them in sharing research data. Funding agencies and governments are asked to adopt a clear legal framework to regulate FAIR data sharing as well as providing the means to set it up." Full announcement
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Learn more about how we automatically harmonize and centralize experimental data, connecting disparate silos to activate the flow of data across your R&D ecosystem. www.TetraScience.com