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Proceedings of the Conference on Research Data Infrastructure最新文献

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Open Science and Language Data: Expectations vs. Reality The Role of Research Data Infrastructures 开放科学与语言数据:期望与现实:研究数据基础设施的作用
Proceedings of the Conference on Research Data Infrastructure Pub Date : 2023-09-07 DOI: 10.52825/cordi.v1i.301
P. Kamocki, Erhard Hinrichs, Peter Leinen, Sabine Springer, Andreas Witt, Dorothea Zechmann
{"title":"Open Science and Language Data: Expectations vs. Reality The Role of Research Data Infrastructures","authors":"P. Kamocki, Erhard Hinrichs, Peter Leinen, Sabine Springer, Andreas Witt, Dorothea Zechmann","doi":"10.52825/cordi.v1i.301","DOIUrl":"https://doi.org/10.52825/cordi.v1i.301","url":null,"abstract":"Language data are essential for any scientific endeavor. However, unlike numerical data, language data are often protected by copyright, as they easily meet the threshold of originality. The role of research infrastructures (such CLARIN, DARIAH, and Text+) is to bridge the gap between uses allowed by statutory exceptions and the requirements of Open Science. This is achieved on the one hand by sharing language data produced by research organisations with the widest possible circle of persons, and on the other by mutualizing efforts towards copyright clearance and appropriate licensing of datasets.","PeriodicalId":359879,"journal":{"name":"Proceedings of the Conference on Research Data Infrastructure","volume":"76 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":"133152985","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
FAIRification of Historical Geodata Automated Metadata Extraction From Archival Maps 档案地图中历史地理数据的自动化元数据提取
Proceedings of the Conference on Research Data Infrastructure Pub Date : 2023-09-07 DOI: 10.52825/cordi.v1i.332
Hendrik Herold, André Hartmann, Anna Lisa Schwartz, Michael Hellstern, Markus Schmalzl
{"title":"FAIRification of Historical Geodata Automated Metadata Extraction From Archival Maps","authors":"Hendrik Herold, André Hartmann, Anna Lisa Schwartz, Michael Hellstern, Markus Schmalzl","doi":"10.52825/cordi.v1i.332","DOIUrl":"https://doi.org/10.52825/cordi.v1i.332","url":null,"abstract":"A key challenge for the NFDI community is to share and connect datasets across spatial and temporal scales. In particular for Earth System Sciences (ESS) coupling of different RDIs and access to long-term time series data are crucial. In this paper we propose a workflow pipeline for making analogue bound archival geodata FAIR and hence accessible to the different scientific disciplines and reusable in a long-term perspective. We describe an interface for enabling data exchange between an archive (GDA) and a geospatial RDI (IOER Monitor) as well as other RDIs by applying the FAIR data principles.","PeriodicalId":359879,"journal":{"name":"Proceedings of the Conference on Research Data Infrastructure","volume":"15 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":"122792730","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
Organizing Scholarly Knowledge in the Open Research Knowledge Graph An Open-Science Platform for FAIR Scholarly Knowledge 以开放的科研知识图谱组织学术知识——学术知识公平的开放科学平台
Proceedings of the Conference on Research Data Infrastructure Pub Date : 2023-09-07 DOI: 10.52825/cordi.v1i.272
S. Auer, M. Stocker, Oliver Karras, A. Oelen, Jennifer D'Souza, Anna-Lena Lorenz
{"title":"Organizing Scholarly Knowledge in the Open Research Knowledge Graph An Open-Science Platform for FAIR Scholarly Knowledge","authors":"S. Auer, M. Stocker, Oliver Karras, A. Oelen, Jennifer D'Souza, Anna-Lena Lorenz","doi":"10.52825/cordi.v1i.272","DOIUrl":"https://doi.org/10.52825/cordi.v1i.272","url":null,"abstract":"The Open Research Knowledge Graph (ORKG) is an Open Science digital infrastructure for the production, curation, publication, and reuse of machine-actionable scholarly knowledge. Built on top of the RDF data model and extensible ontologies, the ORKG provides a common vocabulary for researchers to describe their research contributions and data, improving the discoverability and reusability of scholarly knowledge and research data. The ORKG includes tools for visualizing the relationships between different entities, making it easier to understand the connections between different pieces of research and their findings. It facilitates collaboration between researchers by providing a collaborative platform for organizing and sharing scholarly knowledge and data, reducing duplication and enabling more efficient use of resources. As research becomes increasingly data-driven, tools like the ORKG will become essential for enabling efficient, transparent, and collaborative research.","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":"129387734","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
Digitalization in Catalysis and Reaction Engineering: Automatizing Work Flows 催化和反应工程中的数字化:自动化工作流程
Proceedings of the Conference on Research Data Infrastructure Pub Date : 2023-09-07 DOI: 10.52825/cordi.v1i.412
Rinu Chacko, H. Gossler, Johannes Riedel, S. Schunk, Olaf Deutschmann
{"title":"Digitalization in Catalysis and Reaction Engineering: Automatizing Work Flows","authors":"Rinu Chacko, H. Gossler, Johannes Riedel, S. Schunk, Olaf Deutschmann","doi":"10.52825/cordi.v1i.412","DOIUrl":"https://doi.org/10.52825/cordi.v1i.412","url":null,"abstract":"Digitalization and surrounding efforts fostered by the advent of Industry 4.0 have been a development topic in the fields of chemistry and chemical engineering for several years – so timing may be right to look back and to question what the impact of efforts made, and to judge the impact of workflows and technologies developed. First and foremost, the first two key principle of Industry 4.0, namely Interconnectivity and Information Transparency play the crucial role in the context of Digitalization as only a seamless flow of data based on standardized formats remains key to enabling Decentralized Decisions and Technical Assistance. Digitization and digital tools play a key role in the acceleration data transfer and development efforts, the automation and autonomation of technical equipment employed, and the digital transformation of “classical” chemical reaction engineering processes towards an ideal originally projected by the high-tech agenda of Industry 4.0.\u0000In this presentation we will start our journey with fully integrated environments on a laboratory level where data are not only made available in data warehouses but can be used to drive feedback loops to autonomously drive experimental devices.","PeriodicalId":359879,"journal":{"name":"Proceedings of the Conference on Research Data Infrastructure","volume":"11 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":"116951289","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
Object-Related Research Data Workflows Within NFDI4Objects and Beyond 对象相关的研究数据工作流程在NFDI4Objects和超越
Proceedings of the Conference on Research Data Infrastructure Pub Date : 2023-09-07 DOI: 10.52825/cordi.v1i.326
Florian Thiery, Allard W. Mees, Bernhard Weisser, Felix F. Schäfer, Stefanie Baars, Sonja Nolte, Henriette Senst, Philipp von Rummel
{"title":"Object-Related Research Data Workflows Within NFDI4Objects and Beyond","authors":"Florian Thiery, Allard W. Mees, Bernhard Weisser, Felix F. Schäfer, Stefanie Baars, Sonja Nolte, Henriette Senst, Philipp von Rummel","doi":"10.52825/cordi.v1i.326","DOIUrl":"https://doi.org/10.52825/cordi.v1i.326","url":null,"abstract":"NFDI4Objects (N4O) represents a broad community dealing with material remains of human history from around 3 million years and involves numerous disciplines from the humanities, cultural studies and natural sciences with an archaeological and historical focus [1]. The objects examined include potsherds of common ware, artworks such as sculptures or jewellery, serially produced objects such as coins, organic remains such as wood, bones or pollen, inscribed clay tablets, papyri and stones, architectural remains, as well as human-modified landscapes. Modern research materials such as plaster casts, analogue photographs and drawings, archival documents, books and raw digital data are equally relevant.\u0000 ","PeriodicalId":359879,"journal":{"name":"Proceedings of the Conference on Research Data Infrastructure","volume":"99 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":"117233371","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
CorWiz a Platform for Exploring Corrosion Data and Accessing Corrosion Models 探索腐蚀数据和访问腐蚀模型的平台
Proceedings of the Conference on Research Data Infrastructure Pub Date : 2023-09-07 DOI: 10.52825/cordi.v1i.343
Sven Berger, Aravinth Ravikumar, Mikhail Zheludkevich, Daniel Hoeche
{"title":"CorWiz a Platform for Exploring Corrosion Data and Accessing Corrosion Models","authors":"Sven Berger, Aravinth Ravikumar, Mikhail Zheludkevich, Daniel Hoeche","doi":"10.52825/cordi.v1i.343","DOIUrl":"https://doi.org/10.52825/cordi.v1i.343","url":null,"abstract":"Corrosion is a major cause of material degradation and failure in various industries and applications. Damage caused by corrosion causes billions in damage each year and is a major cause of infrastructure degradation. Besides that, corrosion mechanisms, countermeasures and effects are generally not good understood. The platform CorWiz will provide an easily accessible way to corrosion research and data. Research data on corrosion mechanisms, rates, and prevention methods are essential for developing effective solutions and improving the performance and reliability of materials. However, corrosion research data are often scattered, inconsistent, or inaccessible, limiting their reuse and impact. Providing a more straightforward way to access available data and models has thus a significant impact on the research field and application areas. In the following we present the components of the minimum viable platform focusing on stainless steel corrosion.  ","PeriodicalId":359879,"journal":{"name":"Proceedings of the Conference on Research Data Infrastructure","volume":"7 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":"114390362","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
Machine-Actionable Metadata for Software and Software Management Plans for NFDI 机器可操作的软件元数据和NFDI软件管理计划
Proceedings of the Conference on Research Data Infrastructure Pub Date : 2023-09-07 DOI: 10.52825/cordi.v1i.279
Olga Giraldo, Danilo Dessi, Stefan Dietze, Dietrich Rebholz-Schuhmann, Leyla Jael Castro
{"title":"Machine-Actionable Metadata for Software and Software Management Plans for NFDI","authors":"Olga Giraldo, Danilo Dessi, Stefan Dietze, Dietrich Rebholz-Schuhmann, Leyla Jael Castro","doi":"10.52825/cordi.v1i.279","DOIUrl":"https://doi.org/10.52825/cordi.v1i.279","url":null,"abstract":"Research data is on its way to be recognized as a first-class citizen in research; however, and despite its importance for science, software still has a long way to go. Recent initiatives are paving the way, including FAIR for Research Software and Software Management Plans. A step further towards machine-actionability is adding a structured metadata layer. Here we discuss some metadata elements useful to represent software and integrate it into management plans, and how it could be of benefit for NFDI.","PeriodicalId":359879,"journal":{"name":"Proceedings of the Conference on Research Data Infrastructure","volume":"2013 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":"114714454","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
NFDI4DS Gateway and Portal NFDI4DS网关和门户
Proceedings of the Conference on Research Data Infrastructure Pub Date : 2023-09-07 DOI: 10.52825/cordi.v1i.391
Ricardo Usbeck, Tilahun Abedissa Taffa, Rudy Alexandro Garrido Veliz, Rana Abdullah, Najeebullah Shams, Bianca Wentzel, Zongxiong Chen, Sonja Schimmler
{"title":"NFDI4DS Gateway and Portal","authors":"Ricardo Usbeck, Tilahun Abedissa Taffa, Rudy Alexandro Garrido Veliz, Rana Abdullah, Najeebullah Shams, Bianca Wentzel, Zongxiong Chen, Sonja Schimmler","doi":"10.52825/cordi.v1i.391","DOIUrl":"https://doi.org/10.52825/cordi.v1i.391","url":null,"abstract":"©NFDI4DataScience (NFDI4DS) is a consortium to support researchers in all stages of the research data lifecycle to conduct their research in line with the FAIR principles. The developed infrastructure targets researchers from a wide range of disciplines in data science and AI.\u0000We present the ideas of the NFDI4DS gateway and the NFDI4DS portal. Two approaches to navigate digital objects (articles, data, machine learning models, workflows, scripts/code, etc.) from various NFDI4DS resources such as the ORKG, the DBLP database, and other research knowledge graphs (KGs). Transparency, reproducibility, and fairness will be fostered by a step-wise integration of existing and newly developed services into the overall system.\u0000With this paper, we want to engage with the community and understand the needs and challenges of researchers in various disciplines regarding data science and AI. Therefore, we will discuss the currently developed prototypes and outline our plans for future development steps.\u0000 ","PeriodicalId":359879,"journal":{"name":"Proceedings of the Conference on Research Data Infrastructure","volume":"36 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":"125121751","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
Swiss-AL: Platform for Language Data in Applied Sciences On Challenges in the Field of Language Open Research Data 应用科学语言数据平台——语言开放研究数据领域的挑战
Proceedings of the Conference on Research Data Infrastructure Pub Date : 2023-09-07 DOI: 10.52825/cordi.v1i.249
Julia Krasselt, Philipp Dreesen, Peter Stücheli-Herlach, Dolores Lemmenmeier, Sooyeon Cho, K. Rothenhäusler, Matthias Fluor
{"title":"Swiss-AL: Platform for Language Data in Applied Sciences On Challenges in the Field of Language Open Research Data","authors":"Julia Krasselt, Philipp Dreesen, Peter Stücheli-Herlach, Dolores Lemmenmeier, Sooyeon Cho, K. Rothenhäusler, Matthias Fluor","doi":"10.52825/cordi.v1i.249","DOIUrl":"https://doi.org/10.52825/cordi.v1i.249","url":null,"abstract":"Open Science is transforming the way researchers collect, process, analyze, and store empirical research data, particularly in the social sciences and humanities, where language data is crucial. This transformation process especially concerns developers and providers of large language corpora and manifests itself in at least three challenges when providing these corpora as Open Research Data (ORD). Challenges concern heterogeneous practices that researchers apply when working with language data, research data lifecycle, and legal and ethical aspect. In this paper, we present Swiss-AL, a language data platform developed in Switzerland that is being transformed into an Open Research Data Resource for Applied Sciences within the Swiss Open Science Strategy. The paper gives an overview over the data contained in Swiss-AL and the infrastructure that is used to process and analyze the data. Furthermore, it presents approaches to the three abovementioned challenges to language ORD.","PeriodicalId":359879,"journal":{"name":"Proceedings of the Conference on Research Data Infrastructure","volume":"67 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":"121929208","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
Toward the Development of NII RDC Application Profile Using Ontology Technology 基于本体技术的NII RDC应用概要开发
Proceedings of the Conference on Research Data Infrastructure Pub Date : 2023-09-07 DOI: 10.52825/cordi.v1i.260
Yasuyuki Minamiyama, Masaharu Hayashi, I. Fujiwara, Jun-ichi Onami, Shigetoshi Yokoyama, Yusuke Komiyama, K. Yamaji
{"title":"Toward the Development of NII RDC Application Profile Using Ontology Technology","authors":"Yasuyuki Minamiyama, Masaharu Hayashi, I. Fujiwara, Jun-ichi Onami, Shigetoshi Yokoyama, Yusuke Komiyama, K. Yamaji","doi":"10.52825/cordi.v1i.260","DOIUrl":"https://doi.org/10.52825/cordi.v1i.260","url":null,"abstract":"In recent years, there has been international progress in developing platforms that support the reproducibility and reusability of research data. Typical platforms adopt a service architecture integrating multiple information systems to cover the entire research data lifecycle. In realizing this architecture, specifications for inheriting processes and results executed on different information systems play an essential role. This study introduces our practices for application profile development using ontology technology in the NII Research Data Cloud.","PeriodicalId":359879,"journal":{"name":"Proceedings of the Conference on Research Data Infrastructure","volume":"25 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":"128211227","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
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