Proceedings of the Conference on Research Data Infrastructure最新文献_第10页

Towards FAIR Research Data in Metrology 计量数据公平研究

Proceedings of the Conference on Research Data Infrastructure Pub Date : 2023-09-07 DOI: 10.52825/cordi.v1i.379

Giacomo Lanza, Martin Koval, J. Hippolyte, M. Iturrate-García, Olivier Pellegrino, Anne-Sophie Piette, Federico Grasso Toro

{"title":"Towards FAIR Research Data in Metrology","authors":"Giacomo Lanza, Martin Koval, J. Hippolyte, M. Iturrate-García, Olivier Pellegrino, Anne-Sophie Piette, Federico Grasso Toro","doi":"10.52825/cordi.v1i.379","DOIUrl":"https://doi.org/10.52825/cordi.v1i.379","url":null,"abstract":"Good data management is necessary to maintain the trustworthiness and reliability of data. This is particularly important in metrology, the science of measurement, which ensures stable, comparable, coherent, and traceable measurement results. The digitalization of metrology has increased the demand for structured and harmonised research data management (RDM). \u0000To meet this demand, the project TC-IM 1449 \"Research data management in European metrology\" was established in 2018. The project aims to promote good RDM practices underpinned by the FAIR principles, supporting traceability and reproducibility of measurement results. For that purpose, the project is providing researchers with the knowledge, competency, awareness, and tools to implement good RDM practices. \u0000The project has formulated a vision for RDM in metrology for the support of scientists by developing and disseminating recommendations and in the organisation of training. As part of this vision, the project has produced several deliverables, including a template research data management policy, guidelines for data documentation, creation of metadata, and quality assurance for data publication. The project is also creating a comprehensive guide to RDM, a checklist for project coordinators, and providing training modules. \u0000The project's activities reflect the needs of metrologists that are collated and communicated by the technical experts from the relevant Technical Committees and European Metrology Networks. Furthermore, the project's deliverables will be an invaluable resource for researchers seeking to effectively manage and share their research data.","PeriodicalId":359879,"journal":{"name":"Proceedings of the Conference on Research Data Infrastructure","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115174521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

RDM in Chemistry: How to Educate and Train Future Researchers to Manage Their Data 化学中的RDM:如何教育和培训未来的研究人员管理他们的数据

Proceedings of the Conference on Research Data Infrastructure Pub Date : 2023-09-07 DOI: 10.52825/cordi.v1i.408

Jochen Ortmeyer, Fabian Fink, A. Hoffmann, S. Herres‐Pawlis

引用次数: 0

Leveraging Terminology Services for FAIR Semantic Data Integration Across NFDI Domains How to Integrate Terminology Services Into Other Service Applications 利用术语服务跨NFDI域进行公平语义数据集成如何将术语服务集成到其他服务应用程序中

Proceedings of the Conference on Research Data Infrastructure Pub Date : 2023-09-07 DOI: 10.52825/cordi.v1i.356

Roman Baum, Oliver Koepler

引用次数: 0

Transparency and Involvement of the Energy-Related Industry in a Data Sharing Platform 能源相关行业在数据共享平台中的透明度和参与度

Proceedings of the Conference on Research Data Infrastructure Pub Date : 2023-09-07 DOI: 10.52825/cordi.v1i.270

Zhiyu Pan, Gonca Gürses-Tran, Christina Speck, Patrick Jaquart, Michael Niebisch, A. Monti

引用次数: 0

MaRDIFlow: A Workflow Framework for Documentation and Integration of FAIR Computational Experiments MaRDIFlow: FAIR计算实验文档化和集成的工作流框架

Proceedings of the Conference on Research Data Infrastructure Pub Date : 2023-09-07 DOI: 10.52825/cordi.v1i.323

Pavan L. Veluvali, J. Heiland, Peter Benner

引用次数: 1

One Resource to Teach Them All 一个资源教他们所有人

Proceedings of the Conference on Research Data Infrastructure Pub Date : 2023-09-07 DOI: 10.52825/cordi.v1i.267

Dominik Brilhaus, Martin Kuhl, Cristina Martins Rodrigues, Andrea Schrader

引用次数: 0

RADAR: Building a FAIR and Community Tailored Research Data Repository 雷达:建立一个公平和社区定制的研究数据存储库

Proceedings of the Conference on Research Data Infrastructure Pub Date : 2023-09-07 DOI: 10.52825/cordi.v1i.295

Felix Bach, Kerstin Soltau, Sandra Göller, C. Minella, Stefan Hofmann

{"title":"RADAR: Building a FAIR and Community Tailored Research Data Repository","authors":"Felix Bach, Kerstin Soltau, Sandra Göller, C. Minella, Stefan Hofmann","doi":"10.52825/cordi.v1i.295","DOIUrl":"https://doi.org/10.52825/cordi.v1i.295","url":null,"abstract":"The research data repository RADAR is designed to support the secure management, archiving, publication and dissemination of digital research data from completed scientific studies and projects. Developed as a collaborative project funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) (2013-2016), the system is operated by FIZ Karlsruhe - Leibniz Institute for Information Infrastructure - and currently serves as a generic cloud service for about 20 universities and non-university research institutions. Since its launch, RADAR has witnessed significant changes in the landscape of research data repositories and the evolving needs of researchers, research communities and institutions. In our presentation within the “Enabling RDM” Track, we will show how RADAR is responding to these dynamic changes. In order to create a sufficiently large user base for the sustainable operation of the system, we have moved RADAR away from its previous single focus on a discipline-agnostic cloud service and towards a demand-driven functional optimisation. In 2021, we introduced an additional operating model for institutions (RADAR Local), where we operate a separate RADAR instance locally at the institution site exclusively using the institutional IT-infrastructure. In 2022 we opened up RADAR to new target groups with community-specific service offerings, in particular in the context of the National Research Data Infrastructure (NFDI). Beside the expansion of the functional scope, our ongoing development work focuses also on strengthening the system's support for the FAIR principles [1] and the concepts of FAIR Digital Objects (FDO) [2] and Schema.org. Our presentation will outline recent RADAR developments and achievements as well as future plans thus providing solutions and synergy potential for the scientific community and for other service providers.","PeriodicalId":359879,"journal":{"name":"Proceedings of the Conference on Research Data Infrastructure","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121525695","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

RDM Compas: Building Competencies for the Professional Curation of Research Data RDM比较:建立研究数据专业管理的能力

Proceedings of the Conference on Research Data Infrastructure Pub Date : 2023-09-07 DOI: 10.52825/cordi.v1i.365

Kathrin Behrens, Katarina Blask

引用次数: 0

Provenance Core Data Set A Minimal Information Model for Data Provenance in Biomedical Research 来源核心数据集:生物医学研究中数据来源的最小信息模型

Proceedings of the Conference on Research Data Infrastructure Pub Date : 2023-09-07 DOI: 10.52825/cordi.v1i.347

Ulrich Sax, C. Henke, Christian Dräger, T. Bender, Alessandra Kuntz, Martin Golebiewski, Hannes Ulrich, Matthias Löbe

{"title":"Provenance Core Data Set A Minimal Information Model for Data Provenance in Biomedical Research","authors":"Ulrich Sax, C. Henke, Christian Dräger, T. Bender, Alessandra Kuntz, Martin Golebiewski, Hannes Ulrich, Matthias Löbe","doi":"10.52825/cordi.v1i.347","DOIUrl":"https://doi.org/10.52825/cordi.v1i.347","url":null,"abstract":"The exchange, dissemination, and reuse of biological specimens and data have become essentialfor life sciences research. This requires standards that enable cross-organizational documentation, traceability, and tracking of data and its corresponding metadata. Thus, data provenance, or the lineage of data, is an important aspect of data management in any information system integrating data from different sources [1]. It provides crucial information about the origin, transformation, and accountability of data, which is essential for ensuring trustworthiness, transparency, and quality of healthcare data [2]. For biological material and derived data, a novel ISO standard was recently introduced that specifies a general concept for a provenance information model for biological material and data and requirements for provenance data interoperability and serialization [3,4]. However, a specific standard for health data provenance is currently missing. In recent years, there has been a growing need for developing a minimal core data set for representing provenance information in health information systems. This paper presents a Provenance Core Data Set (PCDS), a generalized data model that aims to provide a set of attributes for describing data provenance in health information systems and beyond. ","PeriodicalId":359879,"journal":{"name":"Proceedings of the Conference on Research Data Infrastructure","volume":"4 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116646397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Building Ontologies and Knowledge Graphs for Mathematics and its Applications 构建数学本体和知识图及其应用

Proceedings of the Conference on Research Data Infrastructure Pub Date : 2023-09-07 DOI: 10.52825/cordi.v1i.255

B. Schembera, Frank Wübbeling, T. Koprucki, Christine Biedinger, Marco Reidelbach, Burkhard Schmidt, Dominik Göddeke, Jochen Fiedler

引用次数: 1