Tag: Biomedical Technology

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Requesting Input on the Support of Biomedical Technology Development

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NIGMS is in the process of considering how best to support two important activities: the development of biomedical technologies and access to those technologies as they become research resources. These topics are strongly related, but there are aspects of each that should be explored independently. An important part of this process is getting input from the community, so we’ve issued a request for information (RFI) focused on technology development. A subsequent RFI will extend the discussion to the support of research resources.

There are two main issues that we’re thinking hard about right now as we consider how our technology development programs should be structured:

  • The relationship between technology development and question-based biomedical research. We’re particularly interested in whether and how technology development and question-driven research should be coupled in different circumstances. Coupling technology development with addressing biomedical research problems can help ensure the relevance of the tools that emerge, but it may not always be necessary or appropriate.
  • Supporting the full range of biomedical technology development. We’re interested in the effective support of all aspects of technology development, from the exploration of emerging concepts to the conversion of fragile technologies into standard tools.

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Comment on the Need for Support of Membrane Protein Structure Determination

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Membrane proteins and large macromolecular assemblies are important targets for understanding cell function and for drug discovery, but their characterization presents unique technical challenges. We’re considering how best to help researchers meet these challenges.

To give the biomedical research community the opportunity to offer comments on this topic, we have just issued a request for information (RFI). We want your opinion on the most effective methods for the determination of membrane protein and large macromolecular assembly structures and/or the need for new tools to aid in structure determination of these proteins or protein complexes.

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NIH Data Science Leader’s Vision of a Digital Enterprise for Biomedical Research

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Phil BourneI recently had the opportunity to talk to Phil Bourne, NIH’s associate director for data science, about some of the current Big Data to Knowledge (BD2K) initiative activities. I asked him how they tie together his vision of a digital enterprise for biomedical research and how they might benefit NIGMS grantees.

Phil explained that the goal of his office, commonly referred to as ADDS, is to achieve efficiencies in biomedical research, such as by making it easier for researchers to locate and manipulate data and software. “If we could just achieve a 5 percent improvement in efficiency in research that would be, in NIH budget dollars, more than $150 million a year that could be spent on funding more people and doing more research,” he said.

An active area that we at NIGMS are engaged in with ADDS is sustaining biomedical data resources, of which we support a fair number. As someone who previously set up databases and who now oversees them, I’m very passionate about this topic. A key question is how to sustain support of data resources in the current research budget environment. Led by Phil’s team, NIH has issued a request for information on sustaining biomedical data repositories that seeks input on every aspect of maintaining these resources. I encourage you to share your ideas by the March 18 response date.

Training is important in Phil’s vision for a digital enterprise, too. He told me of a number of recent training activities at NIH, including a “software carpentry” workshop for experimental researchers to learn how to use a wide variety of analysis tools. In a blog post about this and another event, the ADDS office asks for suggestions on other types of data science courses to offer. They want to provide workshops that train more experimentally versed scientists to work with big data and take those skills back to their labs. In addition, the ADDS office is planning to stand up a workforce development center to catalog classroom and online courses in the data sciences.

Another effort that’s in the works is creating a virtual space called the Commons where researchers can share, locate, utilize and cite datasets, software, standards definitions and documentation. Phil anticipates that the first components of the Commons will be available in 2016.

I’m really excited about Phil’s efforts and believe that they will help drive the “data quantum leap” I described in my first Feedback Loop blog post.