NASA GeneLab’s Post

A new PLOS Open Science Indicators (OSIs) dataset is here, marking one year of working to quantify #OpenScience practices among researchers. We take a look at what's new in the latest dataset, findings from 2023, anticipations for 2024 and more on The Official PLOS Blog. plos.io/3U517RS

A new 125k article PLOS Open Science Indicators dataset is here, powered with help from DataSeer. New features in this release include: -Data for 2018, in part for an exciting new metaresearch study (more on this soon) -Improved disciplinary data to support segmentation/ analyses -Improved measurement of code *generation*

If you haven't had a look through the PLOS Open Science Indicators (powered with help from DataSeerAI), I'd encourage you to do so - there's comparison data, not just PLOS journals, and many ways slice and digest the data, for example an institutional review. The Open Science Indicators are a great way to compare your own journals over time to, and assess if journal policies around open data and open research are improving and compliance to funder mandates.

Exploring the Power of NetCDF for Scientific Data Management I'd like to introduce you to Network Common Data Form (NetCDF), a powerful set of software libraries and self-describing, machine-independent data formats that is transforming scientific data management and its growing applications in deep learning. Its hierarchical structure, featuring dimensions, variables, and attributes, provides a flexible framework for storing and organizing complex scientific datasets like meteorological data used in climate modeling, oceanographic data for studying marine ecosystems, and astronomical data from telescopes. NetCDF's self-describing nature ensures data comprehensibility over time, facilitating effortless data sharing and collaboration across diverse platforms. In deep learning, NetCDF's structured format and multidimensional array support have made it a popular choice for storing and processing large-scale observational datasets, particularly in Earth science and remote sensing. By offering a standardized representation of spatial and temporal data, NetCDF simplifies the development of deep learning models capable of extracting insights from these complex datasets. Libraries like TensorFlow and PyTorch seamlessly integrate with NetCDF, enabling researchers to easily load and preprocess data for training and evaluation. NetCDF's versatility extends beyond storage and organization, enabling efficient access to subsets of massive datasets, adapting to evolving research needs, and supporting long-term data archiving initiatives. Furthermore, NetCDF's concurrent read/write access capabilities empower collaborative workflows, allowing multiple users to seamlessly interact with and analyze the same dataset. Compared to other data formats like HDF5 or CSV, NetCDF strikes a balance between flexibility and ease of use. It's not the easiest thing to learn, and you definitely need some tech skills to use it properly, but its part of our fundamental toolkit for various research domains. How do you think that the Network Common Data Form address the challenges of managing complex, multi-dimensional scientific data, and how does its design contribute to its widespread adoption in diverse fields, including climate science, oceanography, astronomy, and deep learning? #NetCDF #DataFormats #DataScience #NetCDF #DataManagement #ScientificData #FAIRData #DataSharing #CollaborativeResearch #BigData #DataArchiving #ResearchTools #DataStorage #DataInteroperability #Tech #SoftwareEngineer

🌍 Sue Nichols' latest article explores how NSF I-GUIDE has been harnessing the telecoupling framework to navigate the complexities of globalization. Check out the article to learn how this approach has provided innovative solutions to pressing societal and environmental challenges at the intersection of human and natural systems and how I-GUIDE is positioned at the forefront of this transformative shift. Featuring insights from experts Jianguo (Jack) Liu, George Percivall, Shaowen Wang, and Mohan Ramamurthy. Published in Nature Communications: Earth & Environment, Computational Sciences, and Statistics. Read the full article here: https://lnkd.in/gNsZgch5

The National Science Data Fabric is a constant source of infrastructure innovation from a data-first perspective. Michela Taufer said it best in her post: We would love to hear your thoughts on this topic, especially how we can collectively push the boundaries of data accessibility and inclusivity. 👉 You can read the full paper here: https://lnkd.in/gNV_qXvy Let's continue the conversation on how we can work together to make data a truly universal resource!

At EarthConsole®, we host a variety of processors designed for different applications, developed by renowned research centers, universities, institutions, and companies. You can request access to these processors to perform: 🔹 On-demand Earth Observation data processing tasks, independently managed by you through our P-PRO ON-DEMAND user-friendly web interface, or 🔹 Systematic Earth Observation data processing campaigns managed by our experts. ➡ Take a look: https://lnkd.in/dQwYBDkE And if you wish to integrate your own algorithm into EarthConsole® to scale-up to massive data processing or increase its users’ uptake, you can request its integration via the I-APP service: https://lnkd.in/dPd6b6Ed #DiscoverEarthConsole #earthobservation #dataprocessing #remotesensing #research #science

The Telecoupling Framework - an element of NSF I-GUIDE research - is at the frontier of geographic thinking. Telecoupling extends the traditional notions of space and time as fundamental concepts for organizing the world's information. Telecoupling and similar ideas in the #SpatialWeb are extending the concepts and power of geography.

GeoquestX believes in the democratization of Earth data, making the wealth of knowledge about our planet accessible to everyone. Our platform serves as the gateway to a huge trove of earth science data, fostering a community of Earth Explorers who share, search, and contribute to our understanding of the planet. 🚀 Users can now download the manual user guide directly from the GeoquestX website! 🚀 https://geoquestx.com/ GeoquestX is more than just a platform; it's a movement to democratize access to earth science data. Whether you're a researcher, student, or enthusiast, our user-friendly interface allows you to effortlessly upload, share, and search for a myriad of earth science data. From weather to biology , GeoquestX is your one-stop-shop for exploring the Earth’s wonders. Key Features: Comprehensive Data Access: Coordinate and visualize data with spatial context. Real-Time Insights: Access up-to-the-minute information from satellite services. User-Friendly Interface: Designed for all levels of expertise. Join us in unlocking the mysteries of our planet for a sustainable tomorrow. Embark on a journey of discovery with GeoquestX – where Earth’s data is not confined, but liberated for the benefit of all. 📥 Download the user guide now and dive into the world of GeoquestX! https://geoquestx.com/ #GeoquestX #EarthData #Geoscience #OpenData #Sustainability #Innovation #UserGuide

Our File Replication archive (aka FIRE) sits at the heart of our data archiving activities and is used by some of the largest bioinformatics data resources at EMBL-EBI. FIRE offers a fast, secure, replicated and disaster-resilient environment, in which we keep critical life sciences data perpetually available to the global research community. FIRE recently archived its 100th petabyte of data over its 15-year lifespan, during which it has undergone numerous changes and transformations, ensuring data remains available wherever and whenever it’s demanded. "The achievement of ingesting 100 petabytes into FIRE is a remarkable milestone and a testament to the innovative work of the IT and science teams at EMBL-EBI. FIRE's ability to seamlessly scale and support the ever-growing needs of the scientific community underpins EMBL-EBI's mission to advance life sciences research." – Andy Cafferkey, Head of EMBL-EBI IT & Technical Services Read more about the development of FIRE through the years 👇 https://lnkd.in/e2BWWtye #technicalinfrastructure #dataarchive #bigdata #FAIRdata