bluuebunny/crossref_metadata_2025 huggingface dataset:
Measurements and calculations of enhanced side- and back-scattering of visible radiation by black carbon aggregates
Authors: Haspel Carynelisa , Zhang Cuiqi , Wolf Martin J. , Cziczo Daniel J. , Sela Maor
Published: September 2023

Abstract. Aerosol particles have both natural and anthropogenic origins and are ubiquitous in the atmosphere. One particularly important type is carbonaceous
aerosol, including a specific subset often termed “elemental carbon” chemically or “black carbon” (BC) radiatively. Carbonaceous aerosol
particles have implications for atmospheric chemistry, human health, and climate, both directly and via their ability to act as sites of cloud
droplet or ice crystal formation. Laboratory experiments and theory are needed to better understand these particles, specifically their radiative
impact. Here we present laboratory measurements of scattering of visible radiation by analogs of atmospheric BC aggregates at scattering angles of
135±20∘ obtained using a depolarizing optical particle counter and accompanying theoretical calculations of scattering by compact
and fractal theoretical BC aggregates. We show that, with random orientation, the theoretical calculations reproduce the qualitative behavior of the
measurements but are unable to reproduce the highest values of the linear depolarization ratio; we are only able to obtain high values of the linear
depolarization ratio using fixed orientation. Both our measurements and our theoretical calculations point to the possibility that
fresh, unaged, bare, or uncoated BC aggregates, as opposed to the aged or coated BC or soot that was investigated in previous studies, can exhibit a higher
back-scattering linear depolarization than previously assumed.
Quantifying uncertainty in simulations of the West African Monsoon with the use of surrogate models
Authors: Fischer Matthias , Knippertz Peter , van der Linden Roderick , Lemburg Alexander , Pante Gregor , Proppe Carsten , Marsham John H.
Published: September 2023

Abstract. Simulating the West African monsoon (WAM) system using numerical weather and climate models suffers from large uncertainties, which are difficult to assess due to non-linear interactions between different components of the WAM. Here we present a fundamentally new approach to the problem by approximating the behavior of a numerical model – here the ICON (Icosahedral Nonhydrostatic) model – through a statistical surrogate model based on universal kriging, a general form of Gaussian process regression, which allows a comprehensive global sensitivity analysis. The main steps of our analysis are: (i) Identify the most important uncertain model parameters and their probability density functions, for which we employ a new strategy dealing with non-uniformity in the kriging process. (ii) Define Quantities of Interest (QoI) that represent general meteorological fields such as temperature, pressure, cloud cover and precipitation as well as the prominent WAM features Tropical Easterly Jet, African Easterly Jet, Saharan heat low (SHL) and Intertropical Discontinuity. (iii) Apply a sampling strategy with regard to the kriging method to identify model parameter combinations which are used for numerical modeling experiments. (iv) Conduct ICON model runs for identified model parameter combinations over a nested limited-area domain from 28° W to 34° E and from 10° S to 34° N. The simulations are run for August in four different years (2016 to 2019) to capture the peak northward penetration of rainfall into West Africa, and QoIs are computed based on the mean response over the whole month in all years. (v) Quantify sensitivity of QoIs to uncertain model parameters in an integrated and a local analysis. Results show that simple isolated relationships between single model parameters and WAM QoIs rarely exist. Changing individual parameters affects multiple QoIs simultaneously, reflecting the physical links between them and the complexity of the WAM system. The entrainment rate in the convection scheme and the terminal fall velocity of ice particles show the greatest effects on the QoIs. Larger values of these two parameters reduce cloud cover and precipitation, and intensify the SHL. The entrainment rate rather affects 2 m temperature, 2 m dew point temperature and causes latitudinal shifts, whereas the terminal fall velocity of ice mostly affects cloud cover. Furthermore, the parameter that controls the evaporative soil surface has a major effect on 2 m temperature, 2 m dew point temperature and cloud cover. The results highlight the usefulness of surrogate models for the analysis of model uncertainty and open up new opportunities to better constrain model parameters through a comparison of the model output with selected observations.
Impacts from Hurricane Sandy on New York City in alternative climate-driven event storylines
Authors: Goulart Henrique M. D. , Benito Lazaro Irene , van Garderen Linda , van der Wiel Karin , Le Bars Dewi , Koks Elco , van den Hurk Bart
Published: September 2023

Abstract. High impact events like Hurricane Sandy (2012) significantly affect society and decision-making around weather/climate adaptation. Our understanding of the potential effects of such events is limited to their rare historical occurrences. Climate change might alter these events to an extent that current adaptation responses become insufficient. Furthermore, internal climate variability in the current climate might also lead to slightly different events with possible larger societal impacts. Therefore, exploring high impact events under different conditions becomes important for (future) impact assessment. In this study, we create storylines of Sandy to assess compound coastal flooding on critical infrastructure in New York City under different scenarios, including climate change effects (on the storm, and through sea level rise) and internal variability (variations in the storms intensity and location). We find that 1m of sea level rise increases average flood volumes by 4.2 times, while maximised precipitation scenarios (internal variability) lead to a 2.5-fold increase of flood volumes. The maximised precipitation scenarios impact inland critical infrastructure assets with low water levels, while sea level rise impacts fewer coastal assets though with high water levels. The diversity in hazards and impacts demonstrates the importance of building a set of relevant scenarios, including those representing the effects of climate change and internal variability. A modelling framework connecting meteorological conditions to impacts provides relevant and accessible information that can directly be integrated into high impact event assessments.
A 20-year satellite-reanalysis-based climatology of extreme precipitation characteristics over the Sinai Peninsula
Authors: Soltani Mohsen , Hamelers Bert , Mofidi Abbas , Fletcher Christopher G. , Staal Arie , Dekker Stefan C. , Laux Patrick , Arnault Joel , Kunstmann Harald , van der Hoeven Ties , Lanters Maarten
Published: September 2023

Abstract. Extreme precipitation events and associated flash floods caused by
synoptic cyclonic systems profoundly impact society and the environment,
particularly in arid regions. This study brings forward a
satellite-reanalysis-based approach to quantify extreme precipitation
characteristics over the Sinai Peninsula (SiP) in Egypt from a
statistical–synoptic perspective for the period of 2001–2020. With a
multi-statistical approach developed in this research, SiP's wet and dry
periods are determined. Using satellite observations of precipitation and a
set of derived precipitation indices, we characterize the spatiotemporal
variations of extreme rainfall climatologies across the SiP. Then, using the
reanalysis datasets, synoptic systems responsible for the occurrence of
extreme precipitation events along with the major tracks of cyclones during
the wet and dry periods are described. Our results indicate that trends and
spatial patterns of the rainfall events across the region are inconsistent
in time and space. The highest precipitation percentiles (∼20 mm per month), frequencies (∼15 d per month with rainfall ≥10 mm d−1), standard deviations (∼9 mm month per month), and monthly
ratios (∼18 %) are estimated in the northern and northeastern parts of
the region during the wet period, especially in early winter; also, a
substantial below-average precipitation condition (drier trend) is clearly
observed in most parts except for the south. Mediterranean cyclones
accompanied by the Red Sea and Persian troughs are responsible for the
majority of extreme rainfall events year-round. A remarkable spatial
relationship is found between SiP's rainfall and the atmospheric variables
of sea level pressure, wind direction, and vertical velocity. A
cyclone-tracking analysis indicates that 125 cyclones (with rainfall ≥10 mm d−1) formed within, or transferred to, the Mediterranean basin and
precipitated over the SiP during wet periods compared to 31 such cyclones
during dry periods. It is estimated around 15 % of cyclones with
sufficient rainfall >40 mm d−1 would be capable of leading to
flash floods during the wet period. This study, therefore, sheds new light
on the extreme precipitation characteristics over the SiP and its association
with dominant synoptic-scale mechanisms over the eastern Mediterranean
region.
Design and error compensation of a 3-degrees-of-freedom cable-driven hybrid 3D-printing mechanism
Authors: Qian Sen , Jiang Xiao , Liu Yong , Wang Shuaikang , Sun Xiantao , Sun Huihui
Published: September 2023

Abstract. In large-scale 3D additive manufacturing (AM), rigid printing mechanisms exhibit high inertia and inadequate load capacity. In this paper, a fully constrained 3-degrees-of-freedom (DOFs) cable-driven hybrid mechanism (CDHR) is developed. A vector analysis method considering error compensation in the pulley system is proposed for analysing the kinematics and dynamics. To address the cable-driven mechanism's strict cable force range requirement, a prescribed-performance controller (PPC) with an adaptive auxiliary system is designed for the nonlinear cable system to enhance the stability and motion accuracy of the end-effector. The stability of the control system is proven using the Lyapunov function. A physical simulation environment using Simscape is developed to verify the vector analysis method and the PPC. Subsequently, an experimental prototype of a 3-DOF CDHR is developed. The results of the error compensation experiment and the prescribed-performance controller experiment demonstrate a 93.321 % reduction in maximum plane error and a 95.376 % reduction in maximum height error for the PPC considering error compensation compared to the non-compensation trajectory. Finally, a double-layer clay-printing experiment is conducted to validate the feasibility of the mechanism.
Extending the dynamic wake meandering model in HAWC2Farm: a comparison with field measurements at the Lillgrund wind farm
Authors: Liew Jaime , Göçmen Tuhfe , Lio Alan W. H. , Larsen Gunner Chr.
Published: September 2023

Abstract. With the increasing growth of wind farm installations, the impact of wake effects caused by wind turbines on power output, structural loads, and revenue has become more relevant than ever. Consequently, there is a need for precise simulation tools to facilitate efficient and cost-effective design and operation of wind farms. To address this need, we present HAWC2Farm,
a dynamic and versatile aeroelastic wind farm simulation methodology that combines state-of-the-art engineering models to accurately capture the complex physical phenomena in wind farms. HAWC2Farm employs the aeroelastic wind turbine simulator, HAWC2, to model each individual turbine within the wind farm. It utilises a shared, large-scale turbulence box to represent atmospheric flow field effects at the farm level. The methodology incorporates a modified version of the dynamic wake meandering model to accurately capture wake interactions. This approach not only ensures computational efficiency but also provides valuable insights for wind farm design and operation. To assess its performance, HAWC2Farm is compared using time series extracted from field measurements at the Lillgrund wind farm, encompassing various scenarios involving wake steering via yaw control and a turbine shutdown. The results indicate that HAWC2Farm effectively addresses the challenges associated with modelling the complex dynamics within wind farms, thereby enabling more precise, informed, and cost-effective design and operation strategies.
Learning robotic manipulation of deformable objects in the real world
Authors:   , Lee Robert
Published: September 2023

This thesis explores solutions to the challenge of robots manipulating deformable objects such as fabric and ropes. We propose a new approach that learns from real-world data, supplemented by domain knowledge, rather than relying on extensive and time-consuming computer simulations. We can train robots to fold fabric using just one hour of data gathered automatically by a robot. We also introduced a method that allows robots to efficiently learn how to fold or smooth out cloth by observing video demonstrations by humans.
Integrated, injected CO2 seal capacity study of the Evergreen Formation, Surat Basin Australia
Authors:   , Millen Max
Published: September 2023

This thesis presents the results of an integrated seal potential analysis of the Evergreen Formation in the Surat Basin of Australia. The underlying Precipice Sandstone is a promising geological target reservoir for carbon sequestration. This work investigated the question of whether the Evergreen Formation will behave as an effective seal against the upward migration of super critical carbon dioxide following injection. Various analyses of petrophysical data, including unsupervised machine learning, was performed and compared with lab based analyses, including mercury intrusion porosimetry, on core retrieved from three study wells.
Exposing Colonial and Imperial Roots in Neoliberal Globalization of BC K-12 International Education System
Authors: Lin Gloria Y
Published: September 2023

With the rise of British Columbia (BC) kindergarten to Grade 12 (K–12) international education (formerly known as onshore schools) and the BC Offshore School Program, the business of international students is no longer limited to higher education. Working from a decolonizing framework, this study argues that the ever-changing, complex global system of international education in the context of BC’s public education system is a continuing form of imperialism and colonialism working under the guise of neoliberal globalization and the knowledge-based economy. Through a critical review of the current development of BC public schools’ K–12 international education, this study investigates how the shift from public schools dependent on shrinking government expenditure to relying on market-driven funding mechanisms has enormous implications on the way we think about education and the values that underpin educational endeavours.
Evaluation of the Effects of Pyramid Model Training on the Attitudes and Practices of Early Childhood Educators
Authors: Rothstein Alexandra , Rivard Mélina
Published: September 2023

There is growing evidence of the effectiveness of the pyramid model (PM) in promoting young children’s social-emotional competence and reducing challenging behaviours. In the province of Quebec (Canada), as in many other regions, many children with special needs are integrated into early childhood settings where educators have not had specific training in managing challenging behaviours. The current project’s objective was to evaluate, using a mixed-methods design, the effects of a two-day training session in PM practices provided to 33 educators working in inclusive early childhood settings in the province of Quebec. Before the session, educators had reported that inclusion is beneficial for the child but not for the early childhood educator, demonstrating a need for more training and resources to be provided to early childhood educators. Following the session, their perceptions of the usefulness and social validity of the training in PM were positive, and their implementation of PM practices significantly increased. Their perceptions of how inclusion affected them also became more positive; however, no differences were found in their overall attitudes when comparing results from pre- to post-test, indicating the need for further support.
“Technology Reshaping the Future of Industry” The Impact of Electronics HRM on Organization Performance with Mediating Role of IT Training, An Extension of Institutional System Theory
Authors: Shahid Muhammad Naeem , Malik Ayesha , Azhar Tehseen , Iqbal Muhammad Shahid
Published: September 2023

Technology is the most powerful tool, which is used to redesign the organizational structures. The scaling and acceleration of human capabilities, the automation of labour, and the creation of new methods for obtaining and supplying labour are all having a substantial impact on the nature of work in the future. The success of an organisation depends on the growth of its people resources. This essay presents a perspective on the idea of electronics HRM on organisational performance with the mediating role of IT training in Pakistan's textile industry. To carry out the investigation, a quantitative methodology was employed. All of the study's participants were employees, and the study's 300 samples were drawn using the stratified sampling technique. Using the PLS program and structural equation modelling, the study's hypothesis was tested. The study's findings showed a clear connection between operational, rational, and transformational electronic human resource management (E-HRM) and the organisational performance of the textile sector. A study also shown that IT training significantly improved organisational effectiveness. Finally, IT training acts as a mediator between EHRM and organisational performance. Therefore, the main contribution of the current study is to illuminate the untapped potential of IT training for the effective implementation of e-HRM procedures and its effects on organisational performance.
Effect of Government Expenditure on Inflation in Nigeria
Authors: Y.O. Fasewa , E.R. Aderinto
Published: September 2023

This study examined the effect of government expenditure on inflation in Nigeria while disaggregating expenditure into capital and recurrent. The study also examined the response of inflation to changes in government expenditure in Nigeria. Secondary data collected from the Central Bank of Nigeria Statistical Bulletin was employed for a period of thirty-eight years (i.e. 1981-2019). The Auto Regressive Distributed Lag technique was employed. For the first model explaining government capital expenditure, short run estimates reveal that in the current period, government capital expenditure has a significantly negative relationship with inflation. For government recurrent expenditure, it was established that government recurrent expenditure has a positive relationship with inflation. The impulse response test used in analyzing the effect of an unanticipated change in government expenditure (capital and recurrent) on inflation shows that the effects of the change in both cases are temporary as they are seen to revert to the mean. The study recommends that the government should maintain a good strategic balance between capital and recurrent expenditure to prevent the economy from being consumption - based.
Research Advances on the Adverse Effects of Antibiotics on Male Fertility
Authors: P. Popoola , R. Oniyangi , O. Ogunleye , O. Ojediran , C. Agyei-Acheampong , T. Olaniran , C. Okafor , M. Opateye , M. Alade , F. A. Ayodeji
Published: September 2023

With the widespread use of antibiotics, bacterial infection-related morbidity and mortality have significantly declined, revolutionizing modern medicine. However, concerns have been raised concerning the negative effects of antibiotics on a number of physiological systems, including the health of male reproductive systems. The purpose of this in-depth review is to investigate and summarize the body of knowledge about the effects of antibiotics on male fertility. Antibiotics may have negative impacts on male reproductive characteristics, according to a growing body of studies over the past few decades. Several antibiotic groups, including fluoroquinolones, tetracyclines, and sulfonamides, have been linked to altered sperm quality, lower sperm count, impaired sperm motility, altered DNA integrity and morphology of sperm. Male reproductive health is thought to be negatively impacted by antibiotics in a multifactorial manner. It has been suggested that hormonal imbalances, oxidative stress, and disturbances of the delicate male reproductive system's balance may be the underlying mechanisms for the effects that have been observed. Additionally, changes brought on by antibiotics to the gut microbiota, which is known to be extremely important for overall health, may indirectly affect male fertility by altering systemic inflammation and hormone regulation. Additionally, the timing and length of antibiotic exposure appear to be important variables in determining their effect on male fertility, of which there is proof that repetitive or continued drug use may have more severe side effects. The possible negative effects of antibiotics on male fertility are highlighted in this review. Although the available data support a logical relationship between antibiotic usage and male reproductive health, more, well conducted research on humans are still required to clarify the underlying mechanisms and determine the clinical relevance of these results. Future studies in this field might open the door to stronger protections for male fertility while ensuring efficient control of bacterial infections.
Terminologies in RDM for Engineering – a Service Approach
Authors: Kraft Angelina , Engel Felix , Klinger Axel
Published: September 2023

The frameworks which have been established since the start of the NFDI allow for a coordinated development of RDM services, which include the introduction of community specific Terminology Services. To address the challenge of alignment and re-use of established ontologies and terminologies in the engineering domain, a Terminology Service (TS) was set-up for the NFDI4Ing initiative: https://terminology.nfdi4ing.de. The NFDI4Ing TS provides a single point of access to relevant research concepts and offers the building blocks for (meta-) data schemata and data annotation. As an open source platform, it features more than 50 ontologies, 147,000 terms and over 5,800 properties from a range of engineering-related terminology collections. The use of the NFDI4Ing TS fosters interoperability and reuse in a FAIR data context.
Investigating the Landscape of Ontologies for Catalysis Research Data Management
Authors: Behr Alexander S. , Borgelt Hendrik , Petrenko Taras , Dörr Mark , Kockmann Norbert
Published: September 2023

This work provides a survey of ontologies for catalysis research to improve the findability, accessibility, interoperability, and reusability (FAIRness) of research data. Applying tools that are commonly used by lab scientists, ontologies relevant to catalysis research are classified in a simple, well formatted spreadsheet template (Excel). This enables a scientist and domain expert without programming skills to evaluate a certain ontology. The entries of this template are then processed and visualized through automated creation of markdown files on GitHub using Python scripts. Furthermore, ontology mapping by searching for similar pairs of classes across different ontologies is performed, using the outcome of the ontology classification. This work contributes to the development of ontologies for catalysis research, facilitating better data integration and knowledge sharing while reusing existing semantic artefacts.
Data Trustees – They Do Work! The Example of Research Data Centers
Authors: Fuß Daniel , Laible Marie-Christine
Published: September 2023

This contribution presents the long established system of accredited Research Data Centers (RDCs). Created in the data-landscape of the social, behavioral, educational, and economic sciences, they enable access to restricted data and bridge interests of data providers and researchers. A distinctive feature of most research data in the above disciplines is the coverage of real persons. Such sensitive data require specific safeguards. The focus of this contribution is on the institutionalized processes of connecting and securing appropriate research data management strategies for this sort of data. It includes quality assurance measures through the accreditation of RDCs, a monitoring system and the regular cooperation of accredited RDCs.
RDM Services at the Luxembourg National Data Service
Authors: Gu Wei , Trefois Christophe , Alper Pinar , Welter Danielle , Jarosz Yohan , Lebioda Jacek , Ebermann Linda , Becker Regina , Satagopam Venkata , Schneider Reinhard , Verdonck Bert
Published: September 2023

The Luxembourg National Data Service (LNDS) was established on 28 July 2022 by the Luxembourg government and public research institutes. LNDS is a national organisation providing services for value creation from public sector data from different domains. LNDS’ primary mission is to offer technology and data services, know-how, capabilities, platform, and infrastructure to enable sharing and re-use of data for public and private data partners. LNDS aims to become a key component of Luxembourg's data innovation strategy by (1) supporting research and innovation through a high-quality service offering, (2) contributing to accelerating the development of Luxembourg towards a data economy, (3) enabling the participation of both public research and private actors in the complete value-creating chain of data, (4) enhancing data in the context of joint innovation among all actors, and (5) becoming a partner of choice for joint development of the next generation of data products.
Swiss-AL: Platform for Language Data in Applied Sciences
Authors: Krasselt Julia , Dreesen Philipp , Stücheli-Herlach Peter , Lemmenmeier Dolores , Cho Sooyeon , Rothenhäusler Klaus , Fluor Matthias
Published: September 2023

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.
One Resource to Teach Them All
Authors: Brilhaus Dominik , Kuhl Martin , Martins Rodrigues Cristina , Schrader Andrea
Published: September 2023

Open Educational Resources (OER) allow for free access to educational materials and increase the chances of educational equity. We developed the DataPLANT OER, a teaching material resource based on the concept of annotated bricks along didactic paths. Our concept builds on a leveled approach with the brick, unit and dissemination level, is environment-agnostic and can be implemented in any desired technical framework. It balances customization and reuse and aims at one OER to teach them all.
Determining the Similarity of Research Data by Using an Interoperable Metadata Extraction Method
Authors: Heinrichs Benedikt , Yazdi M. Amin
Published: September 2023

Determining the similarity of research data is not a simple task, as the formats can differ widely depending on the domain. Especially, since many formats are represented as binary files, the raw comparison of these will not yield good results. This makes it hard to accurately tell how similar certain research work is by comparing the data. With the emergence of extracted interoperable metadata, a form to describe data has been provided which is independent of the data format. Therefore, this work tries to use this extracted interoperable metadata and create a method to determine the similarity of research data based on their metadata. The produced method utilizes domain knowledge about the extracted metadata and the way they are formulated. A baseline is created, and further methods are created to compare to. The results show that our method outperforms all other methods, especially the ones which are focused on comparing the research data itself, not the metadata. Since the results are promising, we propose further investigations against other datasets and possible use cases.
DAPHNE4NFDI and PUNCH4NFDI Consortia in the NFDI
Authors: Amelung Lisa , Barty Anton , Murphy Bridget , Schneide Christiane , Schneidewind Astrid , Schoerner Thomas
Published: September 2023

The DAPHNE4NFDI and PUNCH4NFDI consortia represent the large scale facilities in the German physical sciences community. Work in DAPHNE4NFDI and PUNCH4NFDI is characterised by the use of large-scale research infrastructures – reactors, light sources, accelerators, telescopes, observatories, satellites – that serve international research communities of up to several thousand users and produce data in the terrabyte, often petabyte and in future exabyte range. The communities will have to master massive challenges in data management, building on and extending their leadership in “big data” management, distributed computing, multi-user management, and data loss / data irreversibility issues.
Open Science and Language Data: Expectations vs. Reality
Authors: Kamocki Paweł , Hinrichs Erhard , Leinen Peter , Springer Sabine , Witt Andreas , Zechmann Dorothea
Published: September 2023

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.
A Survey on the Current Status of Research Data Management in Mecklenburg-Vorpommern
Authors: Schröder Max , Genehr Sascha , Köhling Rüdiger , Schmidt Stefan , Schneider Ralf , Spors Sascha , Szepannek Gero , Waltemath Dagmar , Krüger Frank
Published: September 2023

High quality research data management (RDM) is essential to support state of the art comprehensible and reproducible research processes and, thus, foster the sustainable production of novel and trustworthy research findings. While there are lots of national and international initiatives supporting researchers in all respects of RDM, the local infrastructures provide the foundation for these concepts. In this contribution, we present preliminary results of a study that collects the requirements of researchers on these local infrastructures in all seven higher education research institutions in Mecklenburg-Vorpommern (MV).
Harmonized Research Information for Classifying and Linking Research Data
Authors: Alshawaf Fadwa , Guescini Rolf , Kotschka Florian , Dreyer Malte , Bierwirth Maik
Published: September 2023

A well-described, harmonized in standard formats and linked metadata accelerates and refines the search process. Hence, researchers can ensure that their data is properly organized, easily discoverable, and accessible to others. Machine-readable metadata is especially essential for automatic discovery of research datasets and outputs. It facilitates the search and retrieval of data with increased accuracy, which saves the user time in finding crucial information within their field of research. This requires rich and categorized metadata that allows computers to automatically retrieve and sort relevant search results. Well documented metadata which is harmonized, standardized and serialized in linked data formats increases not only the accuracy of the search results within a field of research, but can also provide relevant and helpful suggestions within disciplinary and interdisciplinary fields of research.
Transparency and Involvement of Society and Policy in a Data Sharing Platform
Authors: Speck Christina , Jaquart Patrick , Weinhardt Christof , Lilliestam Johan , Schäfer Mirko , Weidlich Anke , Zilles Julia , Kerker Nina
Published: September 2023

Today, energy system models are becoming increasingly powerful and detailed regarding techno-economic parameters. However, current models rarely include social and political factors, although these factors constitute important determinants for the design of energy systems. In Task Area 2 of the nfdi4energy research project, we therefore explore social and political drivers and constraints of the energy transition, generate and link the relevant data, and prepare it for incorporation on a data sharing platform. The aim of this task area is to co-design a scientific energy data and research sharing platform that can feed into new or existing energy models to help inform the public and political decision makers to determine socially acceptable energy pathways of the future. In addition, we will involve citizens during the project lifetime in the development of a platform that enables and incentivizes the active participation of public stakeholders in energy system research.Consequentially, the intention of this abstract within the “Linking RDM Track” is to provide an overview of the platform engagement design process for society and policy.
LabIMotion Electronic Lab Notebook as Research Data Management Tool in Catalysis
Authors: Dolcet Paolo , Schulte Mariam , Maurer Florian , Jung Nicole , Chacko Rinu , Deutschmann Olaf , Grunwaldt Jan-Dierk
Published: September 2023

In the field of heterogenous catalysis, Electronic Lab Notebooks (ELNs) are only rarely employed, due to complex data structure and different needs of the community with respect to the typical features provided by wide-spread ELNs. On the contrary, LabIMotion, an extension of the open-source ELN Chemotion, adapts to the characteristic complex workflows in heterogenous catalysis; these encompass catalyst synthesis, adaptation of devices and testing rigs, activity measurements, material characterization (possibly also in situ/operando, at large scale facilities) and are complemented by mathematical modelling and simulation. Direct links to metadata catalogues like SciCat (for synchrotron/neutron characterizations) and advanced research data management tools like Adacta (for improved traceability of catalytic data, experimental setups and related resources) are envisioned. The adaptability of LabIMotion in the catalysis field is presented via the topical examples of Cu-based catalysts for methanol synthesis and noble metal-based emission control catalysts.
When Data Crosses Borders – Join Forces!
Authors: Ebert Barbara , Domisch Sami , Henzen Christin , Linares Jimena , Mozygemba Kati , Miller Bernhard , Seeger Bernhard , Seegert Jörg
Published: September 2023

A multidisciplinary use-case for integrating research data involves data, software and methods across research disciplines to address research questions that cannot be effectively addressed by a single discipline or method alone. They thus contribute to NFDI’s goal to make a significant contribution to answering novel interdisciplinary research questions. This paper presents some examples for multidisciplinary use-cases that illustrate that, in order to reap the added benefits of these use-cases, some effort is required. The paper concludes by proposing some cornerstones for handling multidisciplinary use-cases.
FAIR Assessment Practices
Authors: Saldanha Bach Janete , Limani Fidan , Zhang Yudong , Latif Atif , Mathiak Brigitte , Mutschke Peter
Published: September 2023

The poster presents FAIR assessment experiences in the context of the two NFDI consortia KonsortSWD and BERD@NFDI, employing the established Research Data Alliance's FAIR Data Maturity Model (RDA-FDMM) and the F-UJI Tool, an automated solution. RDA-FDMM, a manual technique, is more comprehensive, while the automated F-UJI tool effectively detects areas of improvement in metadata presentation that automated means can address. Our experiences highlight the need to examine both machine-readable as well as non-machine-readable elements and acknowledge automated tools' limitations, while valuing their insights. As the research ecosystem advances, metadata representation should be made increasingly machine-readable. We recommend a "FAIR by design" approach from the beginning to ensure alignment with FAIR principles in project outcomes. Continuous assessments during a project’s lifetime promote ongoing research data infrastructure improvements within the NFDI consortia context, contributing to NFDI infrastructure innovation and optimization.
Long Term Interoperability of Distributed Research Data Infrastructures
Authors: Politze Marius , Shakeel Yusra , Hunke Siream , Ost Philipp , Aversa Rossella , Heinrichs Benedikt , Lang Ilona
Published: September 2023

Research institutions have established a variety of research data infrastructures that orient towards discipline or methodology specific needs of their respective research community. Technically, these infrastructures ultimately are based on “off-the-shelf” hardware and software building blocks – both commercial and open-source. While such “enterprise ready” infrastructures can scale well, they apt to data silos and typically do not adhere to scientific standards like the FAIR (Findability, Accessibility, Interoperability, Reusability) principles out of the box. Using common architecture concepts such as the FAIR Digital Object (FAIR DO) allows interconnection of these silos by adding a long term interoperability layer on top of the existing infrastructure components.
The presented approach provides a practical solution for interconnecting distributed research data infrastructures to national (like NFDI) and international (like EOSC and Gaia-X) infrastructures and preventing the creation of data silos. By allowing existing data infrastructures to make data FAIR, we enable researchers to access and reuse data from different domains, facilitating cross-disciplinary research and advancing new methods for scientific discoveries.
Integrating Data Literacy Into University Curricula
Authors: Bode Janice , Jaeger Philipp , Schneidewind Sonja
Published: September 2023

The implementation of competencies regarding Research Data Management (RDM) and Data Literacy (DL) into the curricula is a major challenge for the NFDI community. In physics as well as in other disciples, the beginners’ lab courses are the first point in time where students have to deal with data, and are therefore an intuitive point for the integration of first RDM learning objectives. However, the modification of teaching materials is a time-consuming and potentially expensive task. In this contribution the authors show how this can be achieved in the physics beginners’ lab on the basis of concrete examples, thereby affecting the education of students in a wide range of subjects, including the sciences, engineering, but potentially also medicine or geology.
Leveraging Terminology Services for FAIR Semantic Data Integration Across NFDI Domains
Authors: Baum Roman , Koepler Oliver
Published: September 2023

The National Research Data Infrastructure (NFDI) strives to develop FAIR research data and data services for major scientific disciplines, using terminologies as a key factor for semantic annotations and semantic interoperability of data. Several NFDI consortia provide domain-specific terminologies through Terminology services or registries, offering access, search capabilities, visualization, and downloads. Prioritizing user-friendly access, terminology services seamlessly integrate semantic concepts into applications, often operating in the background to enable smooth semantic annotation and data interoperability. We present exemplary fields of application from selected disciplines and how terminology services support semantic search, user experience, annotation workflows, terminology curation and design.
Finding a Common Ground for NFDI Terminologies
Authors: Huber Robert , Karam Naouel , Koepler Oliver , Strömert Philip
Published: September 2023

We present the goals and first results of the NFDI Section Metadata Working Group on Ontology Harmonisation and Mapping. The ongoing analysis of the used terminologies within the NFDI consortia suggests that, agreeing on a single NFDI wide ontological framework for very general and interdisciplinary concepts needed in the semantic annotation of research date is not feasible in the short run due to domain specific requirements. We thus present how the Research Data Alliance (RDA) framework I-ADOPT, which focuses only on the formal description of observation variables in scientific studies, could be utilised to provide an NFDI wide and global common ground for data interoperability.
Data Steward Service Center (DSSC): FAIRagro RDM-Expertise Hub
Authors: Svoboda Nikolai , Vedder Lucia , Böhm Franziska , Möller Markus , Rey-Mazón Elena , Schmidt Marcus , Lindstädt Birte , Stahl Ulrike
Published: September 2023

The Data Steward Service Center (DSSC) is the central institution within FAIRagro to develop data management tools based on the needs of the scientific community. The DSSC organizes the continuous exchange of RDM knowledge and experience with other institutions, channels user requests from the community, and transfers knowledge from the FAIRagro task areas to the FAIRagro data stewards. FAIRagro data stewards are experts in the field of RDM for agrosystems research supervising and will train data curators in our community. Data stewards have core competencies in research data management (e.g., cross-scale from genes, phenomics, management to region; sensitive data, remote sensing, time series, plant, soil and related FAIRagro data). Knowledge and expertise is pooled to provide the full range of expertise to the community in one place to foster the coalescence of the community. The DSSC is headed by a coordinator and will house five data stewards, who are active in the community e.g. train data curators, give legal support. In the course of the project, further institutional or project data stewards will be integrated and the pool of experts will be further expanded. The network to the other NFDI consortia is continuously growing.
Building the Next Generation of Data Savvy Biomedical Researchers
Authors: Dierkes Jens , Lindstädt Birte , Sax Ulrich , Hastik Canan , Fürst Julia , Hörner Tanja , Klammt Sebastian , Perrar Ines , Pigeot Iris , Restel Katja , Schmidt Carsten Oliver , Shutsko Aliaksandra , Waltemath Dagmar , Zeleke Atinkut
Published: September 2023

Modern research data management in biomedicine requires data literacy skills. The NFDI4Health consortium, the national research data infrastructure for personal health data, addresses this need with several different training concepts for clinical and epidemiological scientists. Both the institutional anchorage of the training and the thematic focus vary and can be assembled from a modular system as required. The aim is to enable multipliers to adapt and use the training modules through open educational resources. In addition, a competency profile for data stewards is under development to support the choice of required training in research institutions. The results will be fed into the NFDI “Education & Training” Section and will contribute to the Data Literacy Alliance in the future.
FAIR Research Data With NOMAD
Authors: Scheidgen Markus , Brückner Sebastian , Brockhauser Sandor , Ghiringhelli Luca M. , Dietrich Felix , Mansour Ahmed E. , Márquez José A. , Albrecht Martin , Weber Heiko B. , Botti Silvana , Aeschlimann Martin , Draxl Claudia
Published: September 2023

Scientific research is becoming increasingly data centric, which requires more effort to manage, share, and publish data.NOMAD is a web-based platform that provides research data management (RDM) for materials-science data. In addition to core RDM functions like uploading and sharing files, NOMAD automatically extracts structured data from supported file formats, normalizes, and converts data from these formats. NOMAD provides an extendable framework for managing not just files, but structured machine-actionable harmonized and inter-operable data. This is the basis for a faceted search with domain-specific filters, a comprehensive API, structured data entry via customizable ELNs, integrated data-analysis and machine-learning tools. NOMAD is run as a free public service and can additionally be operated by research institutes. Connecting NOMAD installations through the public services will allow a federated data infrastructure to share data between research institutes and further harmonize RDM within a large research domain such as materials science.
The HMC Information Portal for Enhanced Metadata Collaboration in the Helmholtz FAIR Data Space
Authors: Kulla Lucas , Bröder Jens , Curdt Constanze , Kubin Markus , Kollai Helen , Lemster Christine , Nolden Marco , Schmieder Kai , Strupp Annika , Stucky Karl-Uwe , Söding Emanuel , Walter Konstantin Pascal , Witold Arndt
Published: September 2023

The Helmholtz Metadata Collaboration (HMC) platform was launched in late 2019 to turn FAIR (Findable, Accessible, Interoperable, Reusable) research data into reality within the Helmholtz Association and beyond. The Information Portal was initiated to enable the structured cartography of metadata and FAIR landscape of Helmholtz, providing information for multi-level decision-making and creating a curated knowledge base for research data managers, scientists and other stakeholders.

Developed through a top-down approach, 18 categories, and associated metadata schemas were defined and aligned by an HMC taskforce. Data curation followed, with resources collected from different domains based on the aligned metadata schema. The Information Portal is a web application for capturing FAIR data practices across all Helmholtz domains, offering a unified user interface for collecting and exploring  results.

Built using state-of-the-art technologies, including Python and Docker, the Information Portal leverages  GitLab as a database. It offers a public / central  read-only version for stakeholders and a personal instance for curation - synchronized to a GitLab repository. Git-based systems offer advantages, such as raw data accessibility, flexible data curation, easy synchronization, and customizable repositories.

The single-page web application is user-friendly and developed in multiple iterations for an intuitive and flexible interface. The Information Portal is crucial for creating a sustainable, distributed, semantically enriched Helmholtz data space, promoting seamless data sharing and reuse.