Proceedings of the Conference on Research Data Infrastructure最新文献

{"title":"Overarching Data Management Ecosystem at HZDR From Small Experiments to Large-Scale Research Facilities","authors":"Oliver Knodel, Thomas Gruber, Jeffrey Kelling, M. Lokamani, Stefan E. Müller, David Pape, Martin Voigt, Guido Juckeland","doi":"10.52825/cordi.v1i.277","DOIUrl":"https://doi.org/10.52825/cordi.v1i.277","url":null,"abstract":"\u0000\u0000\u0000When dealing with research data management, researchers at Helmholtz- Zentrum Dresden – Rossendorf (HZDR) face a variety of systems and tools. These range from the project planning phase (proposal management, data management plans and policies), over documentation during the experiment or simulation campaign, to the publication (collaborative authoring tools, metadata catalogs, publication systems, data repositories). In addition, modern research projects usually are required to interact with a variety of software stacks and workflow management systems to allow comprehensi- ble and FAIR science on the underlying IT infrastructure (HPC, data storage, network file systems, archival). This article first demonstrates the data management systems and services provided at HZDR, followed by an overview of a self-developed guidance system. It is concluded by a real-world example.\u0000\u0000\u0000","PeriodicalId":359879,"journal":{"name":"Proceedings of the Conference on Research Data Infrastructure","volume":"32 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":"114990030","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}

{"title":"The Case for a Common, Reusable Knowledge Graph Infrastructure for NFDI","authors":"Lozana Rossenova, Moritz Schubotz, Renat Shigapov","doi":"10.52825/cordi.v1i.266","DOIUrl":"https://doi.org/10.52825/cordi.v1i.266","url":null,"abstract":"The Strategic Research and Innovation Agenda (SRIA) of the European Commission identifies Knowledge Graphs (KGs) as one of the most important technologies for building an interoperability framework and enabling data exchange among users across countries, sectors, and disciplines [1]. KG is a graph-structured knowledge base containing a terminology (vocabulary or ontology) and data entities interrelated via the terminology [2]. KGs are based on semantic web technologies (RDF, SPARQL, etc.) and often used for agile data integration. KGs also play an essential role within Germany as a vehicle to connect research data and research-related entities and make those accessible – examples include the GESIS Knowledge Graph Infrastructure, TIB Open Research Knowledge Graph, and GND.network. Furthermore, the Wikidata knowledge graph, maintained by Wikimedia Germany, contains a large number of research-related entities and is widely used in scientific knowledge management in addition to being an important advocacy tool for open data [3]. Extending domain-specific ontology-supported KGs with the multidisciplinary, crowdsourced knowledge in Wikidata KG would enable significant applications. The linking between expert knowledge systems and world knowledge empowers lay persons to benefit from high-quality research data and ultimately contributes to increasing confidence in scientific research in society.","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":"121038639","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}

{"title":"Because Data Shall Grow (and we With it) Steps Towards a Cultural Change for Sharing Research Data","authors":"Julia Rakers, Bernhard Miller, Julia Mohrbacher, Daniel Nüst, Torsten Schrade, Jörg Seegert, Christian Vater, Cord Wiljes, Holger Simon","doi":"10.52825/cordi.v1i.278","DOIUrl":"https://doi.org/10.52825/cordi.v1i.278","url":null,"abstract":"Research data are a valuable asset of their own and individual researchers as well as the research community as a whole can benefit through data sharing practices and open science. These benefits include but are not limited to higher data quality or the more efficient use of time and financial resources. Despite these potential gains, data sharing is not widespread yet and processes of cultural change are needed to reap the benefits of data sharing. Against this background, the NFDI can function as a platform for discussion and provides a network that extends beyond individual research bubbles in the name of common interests and facilitate cultural change processes towards data sharing. A first collaborative workshop in April 2023 identified four central clusters of interest including 1. policies, strategies and funding; 2. communities, workshops and multipliers; 3. publications and 4. collaboration, communication and error cultures. Departing from this, we contemplate developing a vision on how to further encourage cultural change in the NFDI through a series of workshops. As a result, a vision of cultural change within and with the NFDI will be published by the end of 2023 to further guide the processes to facilitate cultural change. A first step could be to change the guiding metaphor for data: Not “Gold” or “Oil”, but “Humus” for healthy growth of a collaborative data ecosystem.","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":"126049598","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}

{"title":"\"Hello ELSA, how are you?\" Legal and Ethical Challenges in RDM, Current and Future Tasks of ELSA Activities Against the Background of AI and Anonymisation","authors":"Franziska Boehm, Ulrich Sax, Oliver Vettermann, Paweł Kamocki, Vasilka Stoilova","doi":"10.52825/cordi.v1i.333","DOIUrl":"https://doi.org/10.52825/cordi.v1i.333","url":null,"abstract":"The proposed contribution will shed light on current and future challenges on legal and ethical questions in research data infrastructures. The authors of the proposal will present the work of NFDI’s section on Ethical, Legal and Social Aspects (hereinafter: ELSA), whose aim is to facilitate cross-disciplinary cooperation between the NFDI consortia in the relevant areas of management and re-use of research data.","PeriodicalId":359879,"journal":{"name":"Proceedings of the Conference on Research Data Infrastructure","volume":"9 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":"115512268","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}

{"title":"Opportunities and Limits of a Disciplinary Repository Using the Example MO|RE data (eResearch Infrastructure for Motor Research Data)","authors":"Katja Klemm, Hannah Kron, Alexander Woll, Klaus Bös, C. Niessner","doi":"10.52825/cordi.v1i.259","DOIUrl":"https://doi.org/10.52825/cordi.v1i.259","url":null,"abstract":"Out of two funding periods by the German Research Foundation resulted the first disciplinary repository for sports science motor activity research data MO|RE data. MO|RE data addresses sports scientists, researchers from related disciplines and practitioners such as teachers and educators, which work with or generate human motor performance test data as well. It has five main functions: publishing, storing, searching, citing and mapping. There are still some limitations as well as not exploited opportunities. Opportunities include among others the international expansion. Limitations are e.g., that linking health and motor test data is difficult due to data protection law. The sharing of sensitive data is not possible with the current concept and needs further solutions as e.g., remote access or workstations for guest researchers. In future, those data sets must be kept in mind to cover the requirements of research data management in sports science. Overall, the need for further development and optimization of MO|RE data repository in sports science becomes apparent to maximize its potential and ensure that it meets the evolving needs of researchers in the field.","PeriodicalId":359879,"journal":{"name":"Proceedings of the Conference on Research Data Infrastructure","volume":"565 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":"116450638","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}

{"title":"FDOs to Enable Cross-Silo Work","authors":"Peter Wittenburg, Ulrich Schwardmann, Christophe Blanchi, Claus Weiland","doi":"10.52825/cordi.v1i.263","DOIUrl":"https://doi.org/10.52825/cordi.v1i.263","url":null,"abstract":"In this paper we describe with the help of two examples how FAIR Digital Objects can be used to bridge between different dataspaces, repositories using different technologies, and model worlds. The first example is the digital specimen as defined by DiSSCO which offers access to a variety of information from different repositories in a persistent way. The second example results from a collaboration with the I4.0 Asset Administration Shell experts where we integrate the two domains using the Digital Product Pass as an example. In this example we also show how FDOs can be used to implement secure access on shared data as it occurs in almost all supply chain processes.","PeriodicalId":359879,"journal":{"name":"Proceedings of the Conference on Research Data Infrastructure","volume":"106 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":"122638775","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}

{"title":"Experiences From FAIRifying Community Data and FAIR Infrastructure in Biomedical Research Domains","authors":"Dagmar Waltemath, E. Inau, Lea Michaelis, V. Satagopam, Irina Balaur","doi":"10.52825/cordi.v1i.415","DOIUrl":"https://doi.org/10.52825/cordi.v1i.415","url":null,"abstract":"FAIR data is considered good data. However, it can be difficult to quantify data FAIRness objectively, without appropriate tooling. To address this issue, FAIR metrics were developed in the early days of the FAIR era. However, to be truly informative, these metrics must be carefully interpreted in the context of a specific domain, and sometimes even of a project. Here, we share our experience with FAIR assessments and FAIRification processes in the biomedical domain. We aim to raise the awareness that “being FAIR” is not an easy goal, neither the principles are easily implemented. FAIR goes far beyond technical implementations: it requires time, expertise, communication and a shift in mindset. ","PeriodicalId":359879,"journal":{"name":"Proceedings of the Conference on Research Data Infrastructure","volume":"5 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":"122721635","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}

{"title":"Sociodemographic Variables in Surveys Increasing Research Potential Through Output Harmonization","authors":"Silke Schneider, Lennart Palm","doi":"10.52825/cordi.v1i.306","DOIUrl":"https://doi.org/10.52825/cordi.v1i.306","url":null,"abstract":"Measuring people’s sociodemographic characteristics over time and in different contexts or studies is one of the keys of quantifying social inequalities and social change within any society. While different respondent-based studies usually focus on different topics, almost all of them collect data on some key features defining respondent’s backgrounds and living situations.\u0000Summarizing the measurement of sociodemographic characteristics however, the German survey landscape could be characterized as “same but different”: studies measure the same concepts yet differ in their specific approach, despite the fact that the “Demographische Standards” (Hoffmeyer-Zlotnik et al., 2016) provide recommended questionnaire items since the early 1990s. This has several problematic implications: Firstly, it becomes quite difficult to combine knowledge about groups of respondents with the same sociodemographic characteristics across studies on a macro level, and thus to systematically accumulate knowledge on social inequalities and social change. Secondly, combining different data sets, e.g. in order to be able to analyze small groups or rare phenomena, can become a laborious effort which might still produce questionable results, since key caveats can be overlooked in survey documentation.","PeriodicalId":359879,"journal":{"name":"Proceedings of the Conference on Research Data Infrastructure","volume":"10 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":"128459528","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}

{"title":"Building Research Data Management (RDM) Expertise and Training Resources in ELIXIR Nodes","authors":"C. W. van Gelder, Alexia Cardona, B. Leskosek, Patricia Palagi","doi":"10.52825/cordi.v1i.382","DOIUrl":"https://doi.org/10.52825/cordi.v1i.382","url":null,"abstract":"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, the ELIXIR-CONVERGE project was launched in 2020 and included a work package on Training & Capacity Building in Data Stewardship, in which 21 Nodes participate. Since there is a clear need for dissemination of RDM know-how, practices and resources and a demand for RDM training material and courses, for researchers, trainers and RDM professionals, the aim of the work package was to build a comprehensive, interconnected and sustainable RDM Training Portfolio across all Nodes, and to increase the RDM training expertise and capacity in ELIXIR Nodes.  \u0000RDM professionals, training experts and trainers from ELIXIR and beyond identified gaps in the Nodes’ RDM training programmes and defined priority topics (DMP, Data Stewardship, FAIR/metadata and Reproducibility) (Cardona et al, 2021) for training development. Collaborative work from all the ELIXIR Nodes during ELIXIR-CONVERGE resulted in an extensive Data Management/Data Stewardship (DM/DS) course portfolio (Cardona et al, 2021) which aligns with the Nodes’ RDM training strategies. The portfolio includes both generic DM/DS resources and materials, as well as specific materials related to the priority topics mentioned above, and it also includes training materials for specific domains (e.g. the Plant Demonstrator). The course portfolio is available in TeSS, in which training materials are tagged with RDM terms to increase their findability, and links to relevant training materials were included in RDMkit. In collaboration with the ELIXIR Training Platform, the learning paths methodology has been applied to RDM for data stewards and researchers (e.g. with the Plants Sciences and the System Biology Communities), and work is ongoing to extend the ELIXIR-GOBLET Train-the-Trainer programme to tackle the challenges that exist in teaching RDM. Moreover, during ELIXIR-CONVERGE, a strong RDM trainers network was formed, establishing solid RDM training expertise within the Nodes. This emerging network raised great interest in the Nodes, showing their willingness to work together on developing training materials, sharing their knowledge, and establishing best practices and standards for RDM training. \u0000The main RDM training related actions in ELIXIR going forward are: (i) gathering the RDM courses in the portfolio into learning paths for specific audiences, thus shaping the ELIXIR RDM curriculum, (ii) increasing findability and reusability of the developed courses and modules by optimising annotation and linking in TeSS, RDMkit and FAIR Cookbook, (iii) encouraging (re)use of the RDM materials in ELIXIR Nodes, and (iv) increasing RDM training capacity in Nodes by finalising and launching the RDM Train the Trainer programme.In 2023, the ELIXIR RDM Community was initiated, and the network of RDM trainers will be an integral part of th","PeriodicalId":359879,"journal":{"name":"Proceedings of the Conference on Research Data Infrastructure","volume":"22 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":"123857014","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}

{"title":"Schema.org as a Lightweight Harmonization Approach for NFDI","authors":"Leyla Jael Castro, Juliane Fluck, Daniel Arend, Matthias Lange, Daniel Martini, Steffen Neumann, Sonja Schimmler, Dietrich Rebholz-Schuhmann","doi":"10.52825/cordi.v1i.280","DOIUrl":"https://doi.org/10.52825/cordi.v1i.280","url":null,"abstract":"Schema.org is a controlled vocabulary that makes it easier for web pages to describe their actual content in a semantic, structured and machine-processable way. It is recognized by major search engines and data aggregators, making it easier for researchers to expose metadata describing their research outcomes. Here we present how Schema.org is used (or planned to be) by some NFDI consortia, becoming a lightweight approach to harmonize digital objects coming from different sources so they can be connected to each other in a meaningful way","PeriodicalId":359879,"journal":{"name":"Proceedings of the Conference on Research Data Infrastructure","volume":"280 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":"116167940","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}