The Hyve’s Post

NIH data sharing and discovery in Figshare 📈 📊 https://lnkd.in/efWahVg5 The National Institutes of Health new Data Management and Sharing Policy went into effect in January 2023 and strongly encourages researchers to deposit research data in established repositories such as Figshare where other researchers can find and reuse the data. In this webinar, we will present how Figshare meets the NIH’s ‘Desirable Characteristics for Data Repositories’ and how we are working collaboratively as part of the NIH Generalist Repository Ecosystem Initiative (GREI) to enhance support for NIH data sharing. Digital Science #NIHData #DataSharing #OpenData #NIHDMSP #GREI

Don't close your eyes! Data quality is important. While everyone talks about AI and LLM we often forget what we need to train such models is high quality data. Join Vasundra Touré talk about how we standardize and validate clinical routine data in Swiss Personalized Health Network (SPHN) to make them FAIR and usable for research. #fair #shacl #dataquality #knowledgegraph

A use case of OHDSI ATLAS in a high-throughput genome wide association study pipeline #OHDSISocialShowcase Lead: Craig Teerlink Team: Hamid Saoudian, Richard D Boyce, Philip Tsao, Michael Matheny, Marc Suchard, Kyle Hernandez, Robert Grossman, Scott DuVall Background: Infrastructure and data governance limitations have prevented widespread use of Million Veteran Program (MVP) data among the research community and has emerged as a critical barrier to success. Due to participant consent restrictions, MVP data cannot be distributed out to research teams. The VA Data Commons was introduced as a solution for scaling up appropriate access to MVP data and significantly boost computational capabilities. The VA Data Commons is a cloud-based analytic environment that allows VA-credentialed research teams to securely access and perform genome-wide association studies (GWAS) using MVP data. Our goal is to provide a “no-code” environment for users to create cohorts and run GWAS and break down barriers between phenotype specialists and genotype specialists. As such, we are interested in taking advantage of existing open-source tools to implement the GWAS pipeline. To this end, we have incorporated Observational Health Data Sciences and Informatics (OHDSI)’s ATLAS tool for phenotype and covariate selection, the University of Chicago’s Gen3 platform for administration and infrastructure, and the University of Washington’s GENetic EStimation and Inference in Structured Samples (Genesis) R package for genome-wide association.  Learn more: https://lnkd.in/eZhk52GH #JoinTheJourney

NICHD’s Office of Data Science and Sharing (ODSS) recently posted data standards resources to guide planning and implementation of grantees’ data management and sharing activities. Check out definitions for different types of data and metadata standards, links to specific standards and models relevant to NICHD research, and access to the NICHD Data Repository Finder. Share these ODSS resources with researchers receiving or applying for NIH support: https://go.nih.gov/4LxfM9h . #DataScience #DataManagement #DataGovernance

Check out this resource we made to help researchers consider which data standards can help improve the interoperability of their data!

🌟 Exciting News from QCAP at the Belmont Data Collaborative Data Research EXPO 🌟 On November 3rd, 2023, Dr. Andrew Grounds from QCAP delivered a presentation at the Belmont Data Collaborative Data Research EXPO in Nashville, Tennessee. The event marked a significant moment in the ongoing partnership between QCAP and the Belmont Data Collaborative, with a focus on democratizing data for social justice and positive community outcomes. 📊 QCAP's presentation highlighted its innovative work in 'Data for Action'. This includes the development of engaging data products like dashboards, which are already creating substantial impact for community partners. Furthermore, our participation in the Kainos One Health Accelerator is opening new market opportunities, supporting the sustainability and scaling of our initiatives. 🤝 The collaboration doesn't stop there! We're excited to continue our work with Belmont’s Data Collaborative Team, particularly with Catherine Bass and Marquinta Harvey, PhD who have been instrumental in facilitating these discussions. 🌍 This is a prime example of international partnership in action, with Queen's University Belfast North American Office, the QCAP team, and Belmont University all committed to furthering the work initiated at the Data Research EXPO. Stay tuned for more updates and explore the scope of our collaborative efforts here: https://lnkd.in/e2QC3cxz #QCAP #DataForAction #Collaboration #SocialJustice #BelmontDataCollaborative

Today I participate in the meeting to the Lecture 5 of the Marine Data Literacy Course, about the European Marine Observation and Data Network (EMODnet). Thanks to Conor Delaney for his insightful talk and for teaching us a bit more about how useful EMODnet is. EMODnet revolutionizes marine data in Europe, uniting organizations and data sources for accessible marine data across multiple domains. It aids research, resource management, and decision-making, addressing climate change, biodiversity, and maritime planning.

If you're interested in learning more about using ipumsr to programatically access NHGIS metadata and data in R, this free webinar is definitely for you. Hear from the person who added all the new functionality to ipumsr, Finn Roberts, about how to use it for reproducible, replicable research.