Research Data Practices of Aerospace Engineering Faculty: A Qualitative Study

1Department of Construction Technology and Management, Faculty of Civil Engineering, Vilnius Gediminas Technical University, Saulėtekio Alėja 11, LT-10223 Vilnius, Lithuania 2Department of Structural Mechanics, Faculty of Civil Engineering, Brno University of Technology, Veveři Street 95, 602 00 Brno, Czech Republic 3Department of Structural Engineering, Faculty of Engineering, Cairo University, Giza 12613, Egypt 4Department of Labour Safety and Fire Protection, Faculty of Civil Engineering, Vilnius Gediminas Technical University, Saulėtekio Alėja 11, LT-10223 Vilnius, Lithuania

Digitisation of research data is widely increasing all around the world because it needs more and development of enormous digital technologies. Data curation services are starting to offer many libraries. Research data curation is the collective invaluable and reusable information of the researchers. Collected data preservation is more important. The majority of the higher education institutes preserved the research data for their students and researchers. It is stored for a long time using various formats. It is called research data preservation. Without proper research data management plan and implementation cannot curate the research data. The aim of the study is to identify the Asian Library and Information Science (LIS) faculties’ experiences in the research data preservation and curation during their research. Data management, curation and preservation all are interlinked. For reuse of the research data; data curation is an essential role. For this research, we adopted a survey method and an online questionnaire was shared with 1400 LIS professionals, belonging to the Asian region but the completed study respondents are 125 university faculties from various Asian countries. The study findings are 76.8 per cent generated statistical data followed by 58.4 per cent textual files. By far, the most preferable data analysis tool is Microsoft Excel 82.4 per cent. Moreover, the result shows that generated data is mostly stored by personal computers and laptop hard disks. This study concludes LIS faculties having adequate skills and knowledge on data curation and preservation even though they are expecting more services from their academic institute libraries.

The history of the Department of Architecture begins from the first days of the creation of Dnepropetrovsk Civil Engineering Institute (now − State Higher Education Institution “Prydniprovska State Academy of Civil Engineering and Architecture”). For 90 years of its existence, the Department of Architecture has passed a large and important path for the Academy and, in particular, for the Faculty of Architecture, the Faculty of Industrial and Civil Engineering and the Faculty of Civil Engineering and Ecology, the path of its formation and development. The scientific research of the Department of Architecture were used in the design, construction and reconstruction of residential, civil and industrial buildings on the territory of all functional zones of many cities of the former USSR and current Ukraine. The developments of the department staff were introduced into the master plans of Moscow, Riga, Tallinn, Vilnius, Liepaja, Chisinau, Baku, Nalchik, Dnipropetrovsk, Ternopil, Khmelnytskyi, Ivano-Frankivsk, Uzhgorod, Lugansk, Sevastopol, Yalta, Kerch and many others. The research results were published in scientific collections, academic journals and in individual monographs, as well as discussed in conferences at various levels, held in countries around the world. The staff of the department took personal part in scientific conferences in Austria, Hungary, Spain, Sweden and the Czech Republic. More than 20 PhD theses have been defended under the guidance of the department staff. In the ranks of the department worked earlier and are currently working full and honorary members and corresponding members of such academies as: the International Academy of Life Safety, the Academy of Civil Engineering of Ukraine and the Academy of Engineering. At present, the staff of the Department of Architecture is spending a lot of efforts so that students and graduates of the Academy are proud of their Academy, and also performing competently and up-to-date work on reconstruction and new construction in any infrastructure facilities of modern cities.

Alhamdulillah, all praise to Allah and His Prophet, our 5th International Conference on Civil and Environmental Engineering for Sustainability (IConCEES 2019) was successfully organised. This biannual event was organized by Faculty of Civil Engineering and Built Environment (formerly known as Faculty of Civil and Environmental Engineering) as a platform for scientists, researchers and engineers to share their knowledge, expertise and experiences as well as current research outcome in creating sustainable and environmental friendly world. The conference theme of “Today’s Sustainable Engineering for a Better Tomorrow” really emphasises on green technology that enhance better future for mankind benefit. It can be described as the needs to prepare the world for future generation to continue the responsibility to make the world a better place to live. It is the desire of all population and generations that mankind will continue to exist and lead the world.In recent years, rapid development generally make life’s better In terms of how we live on daily basis, how much easier technology aided our lifestyle and increment in production efficiency. However, at the same time, our earth is paying the price for these rapid developments with more pollution arise, natural resources decrement and lots more. Through this conference, ideas, initial outcome, research products and green policies were coined and solutions to preserve our dying nature were recommended. Perhaps it can be further enhance to be applied and implemented globally. Thus, it is our duty to ensure that we conduct the necessary steps towards sustainability of the world in whatever discipline and role that we have.

The study investigated veterinary medicine librarians' experience with and perceptions of research data services. Many academic libraries have begun to offer research data services in response to researchers' increased need for data management support. To date, such services have typically been generic, rather than discipline-specific, to appeal to a wide variety of researchers. An online survey was deployed to identify trends regarding research data services in veterinary medicine libraries. Participants were identified from a list of contacts from the MLA Veterinary Medical Libraries Section. Although many respondents indicated that they have a professional interest in research data services, the majority of veterinary medicine librarians only rarely or occasionally provide data management support as part of their regular job responsibilities. There was little consensus as to whether research data services should be core to a library's mission despite their perceived importance to the advancement of veterinary research. Furthermore, most respondents stated that research data services are just as or somewhat less important than the other services that they provide and feel only slightly or somewhat prepared to offer such services. Lacking a standard definition of "research data" and a common understanding of precisely what research data services encompass, it is difficult for veterinary medicine librarians and libraries to define and understand their roles in research data services. Nonetheless, they appear to have an interest in learning more about and providing research data services.

The emergence of data intensive science and the establishment of data management mandates have motivated academic libraries to develop research data services (RDS) for their faculty and students. Here the results of two studies are reported: librarians' RDS practices in U.S. and Canadian academic research libraries, and the RDS-related library policies in those or similar libraries. Results show that RDS are currently not frequently employed in libraries, but many services are in the planning stages. Technical RDS are less common than informational RDS, RDS are performed more often for faculty than for students, and more library directors believe they offer opportunities for staff to develop RDS-related skills than the percentage of librarians who perceive such opportunities to be available. Librarians need opportunities to learn more about these services either on campus or through attendance at workshops and professional conferences.

Welcome to The 2020 International Conference on Science in Engineering and Technology (ICoSiET), online held 21-22 October, 2020. The 2020 International Conference on Science in Engineering and Technology (ICoSiET) is an international conference which covers Science and applied engineering and technology. ICoSiET 2020 will be held on October 21-22, 2020 in Palu, Indonesia. This conference hosted by Universias Tadulako and is jointly organized with Association for Scientific Computing Electronics and Engineering (ASCEE), Universitas Islam Alauddin Makassar, Universitas Negeri Malang, Universitas Mulawarman, Universitas Muslim Indonesia, and Universitas Lambung Mangkurat. This conference is IOP conference so that papers accepted and presented will be forwarding for consideration to be published in the IOP Material Science and Engineering. Thanks are due to Keynote Speakers, Prof. Dr. Zhen-jiang Shen (Faculty of Geosciences and civil Engineering, Institute of Science and Engineering Kanazawa University, Japan), Prof. Dr. Richard Sliuzas (Department of Urban and Regional Planning and Geo-Information Management Twente University, Netherland), Prof. Yandi Andri Yatmo., Ph.D (Department of Architecture Faculty of Engineering Universitas Indonesia, Indonesia). Prof. Amar Akbar Ali (Department of Architecture Universitas Tadulako, Indonesia), and Dr. Diana Contrias Mojica, New Castle University, UK)This year, the ICOSIET conference received 110 papers submissions from 106 countries such as, Bangladesh, China, Colombia, Germany, Hong Kong, India, Indonesia, Iraq, Japan, Jorda, Peru, Philippines, Russia, Saudi Arabia, Thailand, United Kingdom, United States and Viet Nam. But only 68 papers were accepted for presentations for online sessions (the acceptance ratio is 65%). We are very grateful for the extensive efforts of many individuals who worked diligently to ensure a successful and high quality conference. We would like to thank to IPO, ASCEE, TPC Committee and Faculty of Engineering Tadulako University for supporting this event.Once again we would like to say Welcome to ICOSIET 2020. Congratulations for your papers have been accepted. We invite all participants to actively participate in the conference activities to learn from one another. Thank you for choosing ICOSIET as your conference reference. We hope to have your pleasant supports and participations in the next year 2021 7th ICOSIET.List of ICoSIET 2020 Committee, ICoSIET 2020 Editors are available in this pdf.

Evaluation of Research Data Management (RDM) services in academic libraries of India: A triangulation approach

PREFACE – SEPKA ISEED 2018SEPKA-ISEED is an annual international joint conference between the Faculty of Civil Engineering, Universiti Teknologi Malaysia and the National Institute of Technology (NIT), Kagoshima College, Japan. The conference focusing on various branches of civil engineering and technology, as well as other science fields. This joint conference has provided an exchange platform for the participants from different backgrounds to meet and share ideas, achievements as well as experiences through the presentations and discussion. These events are important to promote and encourage the application of new techniques to practitioners as well as enhancing the knowledge of participants with the current requirements of analysis, design and development of any science and technology project worldwide.This year, the Faculty of Civil Engineering, UTM had organized SEPKA-ISEED 2018 in collaboration with National Institute of Technology (NIT), Kagoshima College, Japan with the theme of “A Spectrum of Opportunities”. The theme expresses a diversity of science and technology breakthrough in terms of approaches and methods, advanced technology, professionalization, experiences, and culture. This year, SEPKA-ISEED 2018 extends its interest into a broader range of science fields and aims to transverse engineering with other branches of science. Integration of branches in sciences knowledge could improve the scientific finding and research performance. Seminars and symposium are functioning as a platform to recommend any appropriate remedial action for the implementation and enforcement of policies related in science and technology to address yet innovatively solving problems. This joint conference serves as a medium for students, researchers, engineers and academicians to meet and share ideas, achievements as well as experiences through the presentations and discussion on the other hand, another importance of this program is it provides an opportunity for students to publish their research findings.List of editors are available in this pdf.

This paper presents the results of an experimental investigation of glued laminated timber (glulam) beams made from European hornbeam (Carpinus betulus L.) under constant loading for three months. Glulam beams were experimentally tested as a part of the last phase of the research project conducted by Drvene konstrukcije Ltd. and the Faculty of Civil Engineering, Architecture and Geodesy, Split. Beams were loaded in four-point bending tests with the applied load levels of 20% and 30% of the maximum force obtained from previously performed short-term tests. The experiments were carried out under minor environmental changes at the specialized laboratory unit at the Faculty of Civil Engineering, Architecture, and Geodesy, Split. The objective of this study is to present the research results of bending creep tests for hardwood species not included in the European Assessment Document. The experimentally obtained deflection-time curves were fitted with the power law equation used for the prediction of creep behavior. The results indicate that the power law fits well with experimental data. A comparison with requirements from Eurocode 5 is given.

Sustainability represents a commonly agreed global development goal. It aims at ensuring the quality of life on Earth for current and future generations. Sustainability should thus become the fundamental overarching concept for the efficient/high-quality design and operation of any product or service throughout its lifecycle—focusing on all three pillars of sustainability—social, environmental, and economic. Among the different socioeconomic sectors, dealing with the impacts that the construction sector has is fundamental, as it strongly contributes to many of the pressing issues that need to be addressed. Not only do we need to improve the economic, environmental, and social performance of our built environment, but we also need to be better prepared for new conditions that are appearing as a cause of global challenges (e.g., climate change). The importance of this approach is all the more clear in light of an increasing number of man-made and natural disasters occurring globally. Thus, current developments and changes in the environment and socioeconomic situation require improvements in the technology of different processes that are involved in construction projects. In this context, concrete is a particularly interesting material, because it has a great potential for new technical solutions meeting new requirements, leading to the necessary reduction of environmental impacts and at the same time improvement of social and economic conditions, including safety and reliability during emergency situations. However, considering the huge volume of global concrete production and the negative impacts closely linked to its production, the overall environmental negative impact associated with the construction of concrete structures on a global scale is considerable. In view of the above global situation, it is of utmost importance to focus on the introduction of new production and construction technologies, advanced design techniques and efficient operation, maintenance, and recycling techniques of concrete structures. Concrete mixes, concrete products, and concrete structures should be designed to meet the requirements of sustainability—namely, to minimize their negative impacts and increase the positive impact on society, the environment, and the economy. This could be achieved by increasing the quality and durability of concrete structures throughout their life cycle, through (i) improvements in design methods, (ii) development of concrete mixtures, composite materials, and reinforcement methods, (iii) modernization of concrete technology, (iv) development of integrated design approaches, and (v) innovation in maintenance, repair, demolition, and recycling processes. This requires the involvement of all actors in the construction process, from material manufacturers, designers, and builders to users, and their conviction and initiative in the need to achieve better results in terms of sustainability requirements. This special theme of Structural Concrete journal: Sustainability of Concrete Structures collects a selection of contributions related to different aspects of sustainability showing potential of concrete structures to contribute to the achievement of the Sustainable Development Goals (SDGs) set by the United Nations in 2015 as an action plan until 2030. The content of this special theme volume covers issues related to Life Cycle Assessment of concrete structures, carbon neutrality, use of recycled concrete and other recycled components, optimization of concrete structures, and many other issues bringing the contribution of concrete research and development to SDGs. We trust that the presented selection of articles is of interest to the concrete community focusing on the development of concrete structures toward a sustainable and resilient built environment as a contribution for future generations. Petr HajekDepartment of Architectural Engineering,Faculty of Civil Engineering, Czech Technical University in Prague, Czech Republic; Member of fib COM7, Convener of fib TG7.1: Sustainable Concrete—general framework; Member of fib COM10, TG10.1: Model Code 2020; Member of TG6.3:Sustainability of structures with precast elements and TG1.5:Structural sustainability. Albert de la Fuente AntequeraAssociate Professor, Civil and Environmental Engineering Department, Universitat Politècnica de Catalunya, Barcelona, Spain. Nikola TošićUniversitat Politècnica de Catalunya—BarcelonaTECH (UPC), Barcelona, Spain. Irene JosaDepartment of Civil, Environmental and Geomatic Engineering, University College London (UCL), London, UK. Petr Hajek, Department of Architectural Engineering, Faculty of Civil Engineering, Czech Technical University in Prague, Czech Republic; Member of fib COM7, Convener of fib TG7.1: Sustainable Concrete—general framework; Member of fib COM10, TG10.1: Model Code 2020; Member of TG6.3: Sustainability of structures with precast elements and TG1.5: Structural sustainability. Albert de la Fuente Antequera, Associate Professor, Civil and Environmental Engineering Department, Universitat Politècnica de Catalunya, Jordi Girona 1-3, 08034 Barcelona, Spain. Nikola Tošić, Universitat Politècnica de Catalunya—BarcelonaTECH (UPC), Jordi Girona 1–3, 08034 Barcelona, Spain. Irene Josa, Department of Civil, Environmental and Geomatic Engineering, University College London (UCL), London, UK.

BackgroundResearchers have increasingly adopted AI and next-generation sequencing (NGS), revolutionizing genomics and high-throughput screening (HTS), and transforming our understanding of cellular processes and disease mechanisms. However, these advancements generate vast datasets requiring effective data stewardship and curation practices to maintain data integrity, privacy, and accessibility. This review consolidates existing knowledge on key aspects, including data governance, quality management, privacy measures, ownership, access control, accountability, traceability, curation frameworks, and storage systems.MethodsWe conducted a systematic literature search up to January 10, 2024, across PubMed, MEDLINE, EMBASE, Scopus, and additional scholarly platforms to examine recent advances and challenges in managing the vast and complex datasets generated by these technologies. Our search strategy employed structured keyword queries focused on four key thematic areas: data governance and management, curation frameworks, algorithmic bias and fairness, and data storage, all within the context of AI applications in genomics and microscopy. Using a realist synthesis methodology, we integrated insights from diverse frameworks to explore the multifaceted challenges associated with data stewardship in these domains. Three independent reviewers, who systematically categorized the information across critical themes, including data governance, quality management, security, privacy, ownership, and access control conducted data extraction and analysis. The study also examined specific AI considerations, such as algorithmic bias, model explainability, and the application of advanced cryptographic techniques. The review process included six stages, starting with an extensive search across multiple research databases, resulting in 273 documents. Screening based on broad criteria, titles, abstracts, and full texts followed this, narrowing the pool to 38 highly relevant citations.ResultsOur findings indicated that significant research was conducted in 2023 by highlighting the increasing recognition of robust data governance frameworks in AI-driven genomics and microscopy. While 36 articles extensively discussed data interoperability and sharing, AI-model explain ability and data augmentation remained underexplored, indicating significant gaps. The integration of diverse data types—ranging from sequencing and clinical data to proteomic and imaging data—highlighted the complexity and expansive scope of AI applications in these fields. The current challenges identified in AI-based data stewardship and curation practices are lack of infrastructure and cost optimization, ethical and privacy considerations, access control and sharing mechanisms, large scale data handling and analysis and transparent data-sharing policies and practice. Proposed solutions to address issues related to data quality, privacy, and bias management include advanced cryptographic techniques, federated learning, and blockchain technology. Robust data governance measures, such as GA4GH standards, DUO versioning, and attribute-based access control, are essential for ensuring data integrity, security, and ethical use. The study also emphasized the critical role of Data Management Plans (DMPs), meticulous metadata curation, and advanced cryptographic techniques in mitigating risks related to data security and identifiability. Despite advancements, significant challenges persisted in balancing data ownership with research accessibility, integrating heterogeneous data sources, ensuring platform interoperability, and maintaining data quality. Ongoing risks of unauthorized access and data breaches underscored the need for continuous innovation in data management practices and stricter adherence to legal and ethical standards.ConclusionsThese findings explored the current practices and challenges in data stewardship, offering a roadmap for strengthening the governance, security, and ethical use of AI in genomics and microscopy. While robust governance frameworks and ethical practices have established a foundation for data integrity and transparency, there remains an urgent need for collaborative efforts to develop interoperable platforms and transparent data-sharing policies. Additionally, evolving legal and ethical frameworks will be crucial to addressing emerging challenges posed by AI technologies. Fostering transparency, accountability, and ethical responsibility within the research community will be key to ensuring trust and driving ethically sound scientific advancements.

The importance of managing research data has been emphasized by the government, funding agencies, and scholarly communities. Increased access to research data increases the impact and efficiency of scientific activities and funding. Thus, many research institutions have established or plan to establish research data curation services as part of their Institutional Repositories (IRs). However, in order to design effective research data curation services in IRs, and to build active research data providers and user communities around those IRs, it is essential to study current data curation practices and provide rich descriptions of the sociotechnical factors and relationships shaping those practices. Based on 13 interviews with 15 IR staff members from 13 large research universities in the United States, this paper provides a rich, qualitative description of research data curation and use practices in IRs. In particular, the paper identifies data curation and use activities in IRs, as well as their structures, roles played, skills needed, contradictions and problems present, solutions sought, and workarounds applied. The paper can inform the development of best practice guides, infrastructure and service templates, as well as education in research data curation in Library and Information Science (LIS) schools.

INTRODUCTION As funders and journals increasingly create policies that require effective data management and data sharing, many institutions have developed research data management (RDM) programs to help researchers meet these mandates. While there is not a standard set of services for these RDM programs, some institutions, particularly those with repositories that accept data deposits, provide data curation services as a way to add value to research data and help make data more accessible and reusable. Stakeholder communities within the field, such as the Data Curation Network (DCN), are also developing guidelines, procedures, and best practices to support and expand data curation practices. DESCRIPTION OF PROJECT This paper examines the data curation activities defined by the DCN, and describes an activity undertaken by library staff at Duke University and the University of North Carolina at Chapel Hill to create a structured model of these tasks to more easily conceptualize and communicate data curation within these two institutional settings. The purpose of this paper is to describe how this model provided a basis for the implementation and expansion of data curation services at each institution and concludes with overall lessons learned. NEXT STEPS As we develop our services, libraries have an opportunity to make the often-invisible work of curation more transparent. This paper aims to provide a point of reference for other libraries as they consider how to scale up their data curation programs as well as contribute to discussions around prioritization of services, program assessment, and communication with stakeholders.

Research data management includes more than the question how researchers handle their data. In the sense of the FAIR principles, it is also about the sustainable safeguarding and organized reusability of research data. For social science, data-intensive research, research data centers and their data curating staff are therefore becoming increasingly important: data curators usually take on curation-specific tasks such as data preparation, securing research data in suitable archival environments, ensuring data accessibility, and the related control of the conditions of data re-use by third parties. Hence, they are specialized in the entire data curation process and, in particular, take on tasks of archiving and providing research data for reuse. Although the standards of comprehensive research data management are becoming more and more specific, this trend has not yet arrived in the corresponding training and further education measures. As a result, there is a gap between the growing demands on data curators and the development of competencies in the field of research data management with a focus on data curation. The competency framework presented in this article is intended to help close this gap: based on a Data Curation Lifecycle Model, a competency framework has been developed to support the development of targeted training and continuing education programs in the field of data curation, the formulation of learning objectives, and the evaluation of the corresponding trainings. The article points out the necessity to advance the development of competencies for this field, illustrates the schematic substructure of the data curation lifecycle, describes the development as well as the central core elements of the presented competency framework and discusses its perspectives. Overall, this competence framework is aimed in particular at (future) data curators, or as a schematic basis for the training of the relevant personnel. The focus is primarily on the data-intensive discipline of social sciences, although large parts can certainly be adapted for other disciplines and the corresponding data curation. The competency framework and this companion article are thereby intended to assist in advancing the sustainable professionalization of the previously understudied competency field of data curation.