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1579 Publications visible to you, out of a total of 1579
A research data management (RDM) community for ELIXIR

Abstract (Expand)

Research data management (RDM) is central to the implementation of the FAIR (Findable Accessible, Interoperable, Reusable) and Open Science principles. Recognising the importance of RDM, ELIXIR Platforms …IXIR Platforms and Nodes have invested in RDM and launched various projects and initiatives to ensure good data management practices for scientific excellence. These projects have resulted in a rich set of tools and resources highly valuable for FAIR data management. However, these resources remain scattered across projects and ELIXIR structures, making their dissemination and application challenging. Therefore, it becomes imminent to coordinate these efforts for sustainable and harmonised RDM practices with dedicated forums for RDM professionals to exchange knowledge and share resources. The proposed ELIXIR RDM Community will bring together RDM experts to develop ELIXIR’s vision and coordinate its activities, taking advantage of the available assets. It aims to coordinate RDM best practices and illustrate how to use the existing ELIXIR RDM services. The Community will be built around three integral pillars, namely, a network of RDM professionals, RDM knowledge management and RDM training expertise and resources. It will also engage with external stakeholders to leverage benefits and provide a forum to RDM professionals for regular knowledge exchange, capacity building and development of harmonised RDM practices, keeping in line with the overall scope of the RDM Community. In the short term, the Community aims to build upon the existing resources and ensure that the content of these remain up to date and fit for purpose. In the long run, the Community will aim to strengthen the skills and knowledge of its RDM professionals to support the emerging needs of the scientific community. The Community will also devise an effective strategy to engage with other ELIXIR structures and international stakeholders to influence and align with developments and solutions in the RDM field.

Authors: Flora D'Anna, Niclas Jareborg, Mijke Jetten, Minna Ahokas, Pinar Alper, Robert Andrews, Korbinian Bösl, Teresa D’Altri, Daniel Faria, Nazeefa Fatima, Siiri Fuchs, Clare Garrard, Wei Gu, Katharina F. Heil, Yvonne Kallberg, Flavio Licciulli, Nils-Christian Lübke, Ana M. P. Melo, Ivan Mičetić, Jorge Oliveira, Anastasis Oulas, Patricia M. Palagi, Krzysztof Poterlowicz, Xenia Perez-Sitja, Patrick Ruch, Susanna-Assunta Sansone, Helena Schnitzer, Celia van Gelder, Thanasis Vergoulis, Daniel Wibberg, Ulrike Wittig, Brane Leskošek, Jiri Vondrasek, Munazah Andrabi

Date Published: 2024

Publication Type: Journal

Connectivity optimized nested line graph networks for crystal structures

Abstract

Not specified

Authors: Robin Ruff, Patrick Reiser, Jan Stühmer, Pascal Friederich

Date Published: 2024

Publication Type: Journal

Positive and Scale Invariant Gaussian Process Latent Variable Model for Astronomical Spectra

Abstract

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Authors: Nikos Gianniotis, Kai L. Polsterer, Iliana Isabel Cortés Pérez

Date Published: 2024

Publication Type: InProceedings

Investigating multilingual coreference resolution by universal annotations

Abstract

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Authors: Haixia Chai, Michael Strube

Date Published: 6th Dec 2023

Publication Type: InProceedings

SimCSum: Joint learning of simplification and cross-lingual summarization for cross-lingual science journalism

Abstract

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Authors: Mehwish Fatima, Tim Kolber, Katja Markert, Michael Strube

Date Published: 6th Dec 2023

Publication Type: InProceedings

The NFDI4Health Metadata Schema (V3_3)

Abstract (Expand)

Originally developed by the NFDI4Health Task Force COVID-19, the Metadata Schema of the NFDI4Health contains a list of properties that describe a resource to be registered in the German Central Health … Study Hub. Currently, two main types of resources are distinguished: a) study descriptions (i.e., metadata set describing a study) and b) study documents. However, due to the generic character of the Metadata Schema, other types of resources may also be described and registered. The metadata properties are divided into mandatory and recommended ones. Along with bibliographic information such as title and description of the resource, the related persons and organizations contributing to the development of the resource can also be specified. The results of studies published in journal articles or other text publications can be linked too. For studies, information about study design and accessibility of the collected data should be additionally provided. The Metadata Schema consists mainly of properties adapted from established standards and models such as DataCite Metadata Schema 4.4, data models of the ClinicalTrials.gov, German Clinical Trials Register, International Clinical Trials Registry, HL7® FHIR, MIABIS, Maelstrom Research cataloguing toolkit and DDI Controlled Vocabularies. This is an updated version V3_3 of the Metadata Schema, which improves the modules of the previous version via refined display names, description and additional information texts, and short input helps and examples. The new version also introduces a new url item in the data sharing section for linking to data request applications. The undertaken changes are described within the document.

Authors: Haitham Abaza, A. Shutsko, Martin Golebiewski, Sophie Klopfenstein, C. O. Schmidt, Carina Vorisek, C. Brünings-Kuppe, V. Clemens, J. Darms, S. Hanß, T. Intemann, F. Jannasch, E. Kasbohm, Birte Lindstädt, Matthias Löbe, E. Orban, I. Perrar, M. Peters, U. Sax, M. Schulze, C. Schupp, F. Schwarz, C. Schwedhelm, S. Strathmann, Dagmar Waltemath, H. Wünsche, A. Zeleke

Date Published: 5th Dec 2023

Publication Type: Misc

Deep Learning and Explainable Artificial Intelligence for Improving Specificity and Detecting Metabolic Patterns in Newborn Screening

Abstract

Not specified

Authors: Elaine Zaunseder, Ulrike Mütze, Sven F. Garbade, Saskia Haupt, Stefan Kölker, Vincent Heuveline

Date Published: 5th Dec 2023

Publication Type: Journal

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