𝐁𝐚𝐜𝐤𝐞𝐧𝐝 𝐔𝐩𝐝𝐚𝐭𝐞 𝐟𝐨𝐫 𝐎𝐮𝐫 𝐃𝐚𝐭𝐚 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐏𝐥𝐚𝐧 𝐓𝐨𝐨𝐥 (𝐃𝐌𝐏𝐓)! 🚀 We are happy to share that the backend of the #GFBio #DMPT (https://dmp.gfbio.org) has been successfully updated to the latest version of #RDMO (2.2)! This upgrade ensures that our custom features remain cutting-edge and ready for the future. But what exactly is a #DMP, and why is it invaluable for researchers?🤔 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐚 𝐃𝐚𝐭𝐚 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭 𝐏𝐥𝐚𝐧 (𝐃𝐌𝐏)? A Data Management Plan (DMP) structures how research data is handled throughout the lifecycle of a project by outlying how data is collected, documented, stored, and shared — during the project and after it’s finished. Many funding bodies (like the German Research Foundation (#DFG), #HorizonEurope, or the #VolkswagenFoundation) require DMPs for certain grants, making them an essential part of today’s research landscape. Beyond compliance, a well-crafted DMP is an indispensable tool for researchers. It keeps everything organized, ensuring clarity and ease of access to information. 𝐖𝐡𝐚𝐭 𝐝𝐨𝐞𝐬 𝐨𝐮𝐫 𝐃𝐌𝐏𝐓 𝐨𝐟𝐟𝐞𝐫? Our DMPT is a self-service platform with optional expert guidance. It is designed to support biodiversity projects, covering: 1️⃣ General project details 2️⃣ Data collection 3️⃣ Documentation and metadata 4️⃣ Ethics and legal compliance 5️⃣ Data preservation and sharing In this, the tool not only immensely simplifies DMP creation but also ensures alignment with key standards and practices. 𝐖𝐡𝐚𝐭’𝐬 𝐧𝐞𝐱𝐭? While the backend update doesn’t change the user-facing features immediately, it sets the stage for exciting frontend improvements. Soon, you’ll notice a more user-friendly interface designed to enhance your experience. So stay tuned for updates!🌟 Also, as always we’d love to hear your thoughts! If you have any feedback or suggestions, please feel free to reach out via our Helpdesk (https://lnkd.in/e9YeXiYR) — your input helps us make the DMPT even better! #NFDI4BiodiversityServices #RDMTools #ResearchDataManagement #OpenScience #BiodiversityResearch #DMPT #DigitalToolsForScience #RDMO #DataManagement #ScienceSupport #ResearchTools
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SCN and BioCanRx are pleased to host "Best Practices for Collecting, Documenting, and Managing Research Data and Records," an interactive virtual workshop series! With increasing concerns about research reproducibility, standardized best practices in #DataManagement have become critical. Gain foundational knowledge in research data and record management with facilitators Rebecca Davies and Gayle Piat that will elevate the quality and reproducibility of your work. 📊 👉 https://lnkd.in/eBacnTkF
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Long-Term Data Preservation 🔐 What is Long-Term Data Preservation? 🤔 It ensures data remains accessible, discoverable, and usable indefinitely through a central repository. Why Choose Arithmos? Arithmos helps improve performance by reducing data volume, speeding up queries, and optimizing storage. You’ll achieve savings by lowering hardware and software costs, streamlining maintenance, and saving on disaster recovery. Accessibility is enhanced with fast information search and retrieval using intelligent metadata-based indexing. Unlock valuable insights from archived clinical trial data and support big data initiatives with a centralized, secure repository for R&D data. Partner with Arithmos for Clinical Excellence. We excel in long-term preservation, offering readiness assessment, implementation, and service operations. 🤝 Book a consultation with our experts now ➡ https://lnkd.in/dXGwMpww #clinical #clinicaloperations #clinicaldata #data #datamanagement #archiving #dataarchiving #lifescience #pharma
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Rancho BioSciences is working on several data integration projects: Researchers often work with data from various sources (clinical trials, surveys, lab results). Our data scientists can weave these disparate datasets into a cohesive system, improving the comprehensiveness and usability of the data. Can we help you empower your data? #dataintegration #datascience
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Dear Semantic Technologies enthusiasts, 💡 I am excited to showcase my research contribution and related presentation in MCIS-2024 & CAPSI-2024 (https://lnkd.in/deQd5jtr), which are fasting approaching, bringing together pioneers and professionals in the field of semantic technologies, data interoperability, and advanced Information Systems. Title: Empowering Health Data Fusion: A Federated Virtual Knowledge Graph Approach Leveraging the Ontop Platform This article explores a novel approach to health data integration using a Federated Virtual Knowledge Graph (FVKG) framework built on the Ontop platform. It addresses the challenges of data fusion in healthcare, such as disparate data sources, inconsistent formats, and interoperability issues across Health Information Systems (HIS). By leveraging Ontop’s Virtual Knowledge Graph (VKG) technology, the FVKG framework provides a unified, real-time virtual view of distributed healthcare data without physically moving or transforming it. This approach minimizes data migration costs, reduces latency, and ensures data integrity and coherence throughout the system. The article emphasizes the significance of the FVKG in enabling seamless semantic querying and ontology-based data access (OBDA), thus facilitating patient-centric, interoperable, and efficient health data management. 🔊 🔔 #research #DesigSicenceResearch #OntologyEngineering #OntologyBasedasedDesignScienceResearchEngineering #DataIntegration #DataInteroperability #Ontop #OBDA #InformationSystem #FederatedVirtualKnoweldgeGraph
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Check out PHUSE’s latest blog, ‘Open Source Technologies – A Year in Review with PHUSE’. Michael Rimler, PHUSE’s Open Source Technologies Director, reflects on an incredible year of open-source innovation in clinical data science. From impactful keynotes and collaborative GitHub projects to new tools in the pharmaverse ecosystem, PHUSE has empowered the Community to tackle open-source challenges head-on. Highlights include: ↳ Key insights from US and EU Connects ↳ Updates on Comparing Analysis Method Implementations in Software (CAMIS), Open Source Technology in Clinical Data Analysis (OSTCDA), and the Data Visualisation & Open Source Technology Working Group ↳ Exciting additions to the pharmaverse R ecosystem ↳ Discover how PHUSE is advancing open-source technology and how you can get involved! Read Now: https://lnkd.in/eAkVhDfq #PHUSE
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🚀 Exciting Project Alert! 🚀 We're thrilled to announce the 2nd BioHackathon Germany Project - a pioneering initiative aimed at simplifying and standardizing Data Usage Agreements (#DUA) for life sciences and beyond. The project goal is to develop a user-friendly web application that enables automated, ODRL-based creation of DUAs. By adhering to international standards, the tool makes it easy to negotiate, store, and verify data access permissions in a machine-readable format. This way, even legal laymen can effortlessly create and manage robust data agreements. Key Highlights: 🔹 Automated DUA Creation: Step-by-step guidance via a configurable UI, backed by the ODRL data model. 🔹 Seamless Querying & Compliance: Use APIs for GAIA-X spec-compliant data exchange. 🔹 Interoperability: Integration with FDOs like ARC-RO-Crate and alignment with EOSC’s metadata schema. 🔹 Broader Impact: Ensuring secure, interoperable resource sharing in line with ELIXIR-DE/de.NBI and NFDI objectives. For more details, see https://lnkd.in/geBQMQkF #LifeSciences #DataSecurity #ODRL #DUA #Innovation #ELIXIR #NFDI #GAIAx #EOSC #DataGovernance
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🚀 Exciting Project Alert! 🚀 We're thrilled to announce the 2nd BioHackathon Germany Project - a pioneering initiative aimed at simplifying and standardizing Data Usage Agreements (#DUA) for life sciences and beyond. The project goal is to develop a user-friendly web application that enables automated, ODRL-based creation of DUAs. By adhering to international standards, the tool makes it easy to negotiate, store, and verify data access permissions in a machine-readable format. This way, even legal laymen can effortlessly create and manage robust data agreements. Key Highlights: 🔹 Automated DUA Creation: Step-by-step guidance via a configurable UI, backed by the ODRL data model. 🔹 Seamless Querying & Compliance: Use APIs for GAIA-X spec-compliant data exchange. 🔹 Interoperability: Integration with FDOs like ARC-RO-Crate and alignment with EOSC’s metadata schema. 🔹 Broader Impact: Ensuring secure, interoperable resource sharing in line with ELIXIR-DE/de.NBI and NFDI objectives. For more details, see https://lnkd.in/gmFtqzi3 #LifeSciences #DataSecurity #ODRL #DUA #Innovation #ELIXIR #NFDI #GAIAx #EOSC #DataGovernance
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We're excited to share our latest preprint on FedPyDESeq2, a privacy-enhancing tool for differential expression analysis in federated learning, now available on bioRxiv! 🧬💻 Key highlights: 📊 Exceptional performance: FedPyDESeq2 achieves near-identical results to PyDESeq2 on pooled data while significantly outperforming meta-analysis baselines on siloed data. 🛠️ Built on PyDESeq2: Our Python-based implementation of the DESeq2 methodology by Love, Huber, and Anders (2014). 🔓 Open-source: Check out the code https://lnkd.in/e_4TRcbF 🔗 Read the preprint here: https://lnkd.in/eHx-v7xb Large-scale RNA-Seq studies often face barriers from data silos and privacy risks, limiting opportunities for deeper clinical insights. FedPyDESeq2 overcomes these challenges, enabling secure and accurate analysis without sharing sensitive data. #AIinHealthcare #FederatedLearning #OpenSource #DESeq2
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You know exactly what data you need. Just give us pre-made source already. Shouldn't science be consistent and replicable? 200 sites all coming up with their own way of collecting source and executing protocols seems crazy. Can someone please give me a compelling reason why shoving a complicated and poorly written protocol in front of a site and letting us figure it out is the status quo? >here is a procotol >cool, we did 5 visits >you did them wrong >ok so give us exact instructions on how to do them >nah #clinicaltrials #clinicalresearch
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Here for the comments. Interesting discussion from all sides of the field on a topic I deal with M-F.
You know exactly what data you need. Just give us pre-made source already. Shouldn't science be consistent and replicable? 200 sites all coming up with their own way of collecting source and executing protocols seems crazy. Can someone please give me a compelling reason why shoving a complicated and poorly written protocol in front of a site and letting us figure it out is the status quo? >here is a procotol >cool, we did 5 visits >you did them wrong >ok so give us exact instructions on how to do them >nah #clinicaltrials #clinicalresearch
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