Proceedings of the Conference on Research Data Infrastructure最新文献_第4页

Data Management Plan Tools: Overview and Evaluation 数据管理计划工具:概述和评估

Proceedings of the Conference on Research Data Infrastructure Pub Date : 2023-09-07 DOI: 10.52825/cordi.v1i.338

Carina Becker, Carolin Hundt, Claudia Engelhardt, Johannes Sperling, Moritz Kurzweil, Ralph Müller-Pfefferkorn

{"title":"Data Management Plan Tools: Overview and Evaluation","authors":"Carina Becker, Carolin Hundt, Claudia Engelhardt, Johannes Sperling, Moritz Kurzweil, Ralph Müller-Pfefferkorn","doi":"10.52825/cordi.v1i.338","DOIUrl":"https://doi.org/10.52825/cordi.v1i.338","url":null,"abstract":"Data Management Plans (DMPs) are crucial for a structured research data management and often a mandatory part of research proposals. DMP tools support the development of DMPs. Among the variety of tools available, it can be difficult for researchers, data stewards and institutions to choose the one that is most appropriate for their specific needs and context. We evaluated 18 DMP tools according to 31 requirement parameters covering aspects relating to basic functions, DMP contents, technical aspects and user friendliness. The highest total evaluation scores were reached by Data Stewardship Wizard (703.5), DMPTool (615.5) and RDMO NFDI4Ing (549.5). The tools evaluated satisfied between 10 % and 87 % of the requirement parameters. 11 tools cover at least half of the parameters. In terms of correlation among the tools, which indicates to which degree their scores in the different requirement parameters are alike, we found the highest correlation for ezDMP and GFBio DMPT. Regarding the relatedness between the tools, 85 % of the DMP tools were positively and 16 % negatively correlated. Accounting for the recent developments in the area of DMP tools, this study provides an up-to-date evaluation that can support tool developers in identifying potential improvements, and hosting institutions to select a tool suited to their specific needs.","PeriodicalId":359879,"journal":{"name":"Proceedings of the Conference on Research Data Infrastructure","volume":"297 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":"124248654","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

Two-Step Approach in Metadata Management for Data Publications at Research Centers 研究中心数据出版物元数据管理的两步方法

Proceedings of the Conference on Research Data Infrastructure Pub Date : 2023-09-07 DOI: 10.52825/cordi.v1i.377

Thomas Gruber, H. Schlenvoigt, Oliver Knodel, Kristin Tippey, Guido Juckeland

引用次数: 0

Harmonized Research Information for Classifying and Linking Research Data 用于分类和链接研究数据的统一研究信息

Proceedings of the Conference on Research Data Infrastructure Pub Date : 2023-09-07 DOI: 10.52825/cordi.v1i.310

F. Alshawaf, Rolf Guescini, Florian Kotschka, M. Dreyer, Maik Bierwirth

引用次数: 1

Towards a Research Data Commons in the German National Research Data Infrastructure NFDI: Vision, Governance, Architecture 迈向德国国家研究数据基础设施NFDI中的研究数据共享:愿景、治理、架构

Proceedings of the Conference on Research Data Infrastructure Pub Date : 2023-09-07 DOI: 10.52825/cordi.v1i.355

Michael Diepenbroek, Ivaylo Kostadinov, Bernhard Seeger, F. Glöckner, M. Dieckmann, Alexander Goesmann, Barbara Ebert, Sonja Schimmler, York Sure-Vetter

引用次数: 0

DALIA FAIR Open Educational Federation Aggregation, Harmonisation, Curation, and Quality Assurance With DALIA 公平开放教育联合会聚集，协调，策展和质量保证与DALIA

Proceedings of the Conference on Research Data Infrastructure Pub Date : 2023-09-07 DOI: 10.52825/cordi.v1i.373

Canan Hastik, Gabor Kismihok, Frank Lange, Petra Steiner

引用次数: 0

Embedding the de.NBI Cloud in the National Research Data Infrastructure Activities 在国家研究数据基础设施活动中嵌入de.NBI云

Proceedings of the Conference on Research Data Infrastructure Pub Date : 2023-09-07 DOI: 10.52825/cordi.v1i.387

Nils Hoffmann, Irena Maus, Sebastian Beier, Peter Belmann, Jan Krüger, Andreas Tauch, Alexander Goesmann, Roland Eils, Peer Bork, Oliver Kohlbacher, Ursula Kummer, R. Backofen, I. Buchhalter, A. Sczyrba

{"title":"Embedding the de.NBI Cloud in the National Research Data Infrastructure Activities","authors":"Nils Hoffmann, Irena Maus, Sebastian Beier, Peter Belmann, Jan Krüger, Andreas Tauch, Alexander Goesmann, Roland Eils, Peer Bork, Oliver Kohlbacher, Ursula Kummer, R. Backofen, I. Buchhalter, A. Sczyrba","doi":"10.52825/cordi.v1i.387","DOIUrl":"https://doi.org/10.52825/cordi.v1i.387","url":null,"abstract":"In recent years, modern life sciences research underwent a rapid development driven mainly by the technical improvements in analytical areas leading to miniaturization, parallelization, and high throughput processing of biological samples. This has led to the generation of huge amounts of experimental data. To meet these rising demands, the German Network for Bioinformatics Infrastructure (de.NBI) was established in 2015 as a national bioinformatics consortium aiming to provide high quality bioinformatics services, comprehensive training, powerful computing capacities (de.NBI Cloud) as well as connections to the European Life Science Infrastructure ELIXIR, with the goal to assist researchers in exploring and exploiting data more effectively. \u0000Since its foundation, de.NBI Cloud has formed the scientific and collaborative backbone for new major German initiatives like NFDI or EOSC-Life in the European sector of computational biosciences. Above all, the cooperation with various NFDI consortia such as NFDI4Biodiversity, DataPLANT, GHGA, FAIRagro or NFDI4Microbiota showcases the power, range and flexibility of the de.NBI Cloud, especially for the national life science community. \u0000In conclusion, the de.NBI Cloud provides the ability to unlock the full potential of research data and enables easier collaboration across different ecosystems and research areas, which in turn enables scientists to innovate and scale-up their data-driven research, not only in the life and computational biosciences, but across the different science domains addressed by the NFDI. \u0000 ","PeriodicalId":359879,"journal":{"name":"Proceedings of the Conference on Research Data Infrastructure","volume":"1 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":"117353387","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

Digital Twin-Based Concept for Reliable Research Data Management Integrating Proprietary Data Sources for Hyperspectral Imaging 基于数字孪生的高光谱成像可靠研究数据管理集成专有数据源的概念

Proceedings of the Conference on Research Data Infrastructure Pub Date : 2023-09-07 DOI: 10.52825/cordi.v1i.297

Alessa Rache, Tim Häußermann, J. Lehmann, J. Reichwald

引用次数: 0

Digitalizing the Chemical Landscape: A Comprehensive Overview and Progress Report of NFDI4Chem 数字化化学景观:NFDI4Chem的全面概述和进展报告

Proceedings of the Conference on Research Data Infrastructure Pub Date : 2023-09-07 DOI: 10.52825/cordi.v1i.213

O. Koepler, Christoph Steinbeck, Felix Bach, Sonja Herres-Pawlis, Nicole Jung, Johannes Liermann, Steffen Neumann, M. Razum

引用次数: 0

WissKI Viewer Casual Access for WissKI Data Sets WissKI查看器偶然访问WissKI数据集

Proceedings of the Conference on Research Data Infrastructure Pub Date : 2023-09-07 DOI: 10.52825/cordi.v1i.273

Tom Wiesing

引用次数: 0

On the Design and Implementation of Easy Access to External Spatiotemporal Datasets in NFDI NFDI中易于访问外部时空数据集的设计与实现

Proceedings of the Conference on Research Data Infrastructure Pub Date : 2023-09-07 DOI: 10.52825/cordi.v1i.360

Christian Beilschmidt, Dominik Brandenstein, Johannes Drönner, Nikolaus Glombiewski, Michael Mattig, Bernhard Seeger

{"title":"On the Design and Implementation of Easy Access to External Spatiotemporal Datasets in NFDI","authors":"Christian Beilschmidt, Dominik Brandenstein, Johannes Drönner, Nikolaus Glombiewski, Michael Mattig, Bernhard Seeger","doi":"10.52825/cordi.v1i.360","DOIUrl":"https://doi.org/10.52825/cordi.v1i.360","url":null,"abstract":"Across many scientific domains, the ability to process large amounts of heterogeneous spatiotemporal data from various sources is crucial for solving challenging research questions. For example, in NFDI4Biodiversity, researchers need to combine observation data with satellite images to correlate the loss of biodiversity with climate change variables. In general, large data sets are not available on the system (called consumer) where the processing is performed, but first have to be retrieved from one or multiple external systems (called providers) that offer a corresponding service. Moreover, a consumer is often unaware of the datasets the providers offer. Ideally, a provider follows FAIR principles and thus supports mechanisms to greatly simplify the data exchange. However, in practice, there are multiple providers with valuable datasets that are not as FAIR as desired or lack spatiotemporal-specific support for data exchange. Instead of improving each potential provider at the source, we propose an intermediary spatiotemporal data exchange layer (SDExL) that helps simplify data exchange so that domain experts easily gain access to valuable data with little technical know-how.","PeriodicalId":359879,"journal":{"name":"Proceedings of the Conference on Research Data Infrastructure","volume":"1 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":"133689888","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