Individual Research Research Articles

Longitudinal stability of cortical grey matter measures varies across brain regions, imaging metrics, and testing sites in the ABCD study

Abstract Magnetic resonance imaging (MRI) is a vital tool for the study of brain structure and function. It is increasingly being used in individual differences research to examine brain-behaviour associations. Prior work has demonstrated low test-retest stability of functional MRI measures, highlighting the need to examine the longitudinal stability (test-retest reliability across long timespans) of MRI measures across brain regions and imaging metrics, particularly in adolescence. In this study, we examined the longitudinal stability of grey matter measures (cortical thickness, surface area, and volume) across brain regions, and testing sites in the Adolescent Brain Cognitive Development (ABCD) study release v4.0. Longitudinal stability ICC estimates ranged from 0 to .98, depending on the measure, parcellation, and brain region. We used Intra-Class Effect Decomposition (ICED) to estimate between-subjects variance and error variance, and assess the relative contribution of each across brain regions and testing sites on longitudinal stability. In further exploratory analyses, we examined the influence of parcellation used (Desikan-Killiany-Tourville and Destrieux) on longitudinal stability. Our results highlight meaningful heterogeneity in longitudinal stability across brain regions, structural measures (cortical thickness in particular), parcellations, and ABCD testing sites. Differences in longitudinal stability across brain regions were largely driven by between-subjects variance, whereas differences in longitudinal stability across testing sites were largely driven by differences in error variance. We argue that investigations such as this are essential to capture patterns of longitudinal stability heterogeneity that would otherwise go undiagnosed. Such improved understanding allows the field to more accurately interpret results, compare effect sizes, and plan more powerful studies.

Scoliosis Research Society-22r and Ceiling Effects: Limited Capabilities for Precision-Medicine with Adolescent Idiopathic Scoliosis.

Retrospective registry analysis. To examine predictions of individual Scoliosis Research Society-22r (SRS-22r) questions one year after surgery for adolescent idiopathic scoliosis (AIS). A precision-medicine approach to AIS surgery will inform patients of the likelihood of achieving particular results from surgery, specifically individual responses to the SRS-22r questionnaire. A multi-center AIS registry was queried for surgical AIS patients treated between 2002-2020. Preoperative data collected included standard demographic data, deformity descriptive data, and SRS-22r scores. Postoperative 1yr SRS-22r scores were modeled using ordinal logistic regression. . The highest probability was the most likely response. Model performance was examined by c-statistics, where c>.8 was considered excellent. Ceiling effects were measured by the proportion of patients reporting "5" to each question. 3251 patients contributed data to the study; mean age 14.4 (±2.2) yrs, female 2631 (81%), major thoracic coronal curve 53°, mean lumbar 41°. C-statistic values ranged from .6 (poor) to .8 (excellent) evidence of varied predictive capabilities. Q17 ("days off work/school", c = .84, ceiling achieved 75%) and Q15 ("financial difficulties", c = .86, ceiling achieved 82%) had the greatest predictive capabilities while Q11 ("pain medication", c=.73, ceiling achieved 67%), Q10 ("appearance", c=.72, ceiling achieved 35%), and Q19 ("attractive", c=.69, ceiling achieved 37%) performed poorly. Prediction of individual SRS-22r item responses perhaps most germane to AIS treatment was poor. Prediction of less relevant outcomes, where ceiling effects are present, was greater as the models chose "5" for all responses. These ceiling effects may limit discrimination and hamper efforts at personalized outcome predictions. 3.

Unraveling the causal relationship between inflation uncertainty and rates of inflation in GCC countries: Evidence from a mixture of causal (linear) relationships models, and (causal inference with panel data)

This study investigates the links between rising inflationary pressures and monetary policy uncertainty (Inflation Uncertainty) in the GCC economies. After discovering cross-sectional dependency among the countries as an index of their reciprocal developmental traits, we used the bootstrap panel Granger causality approach. Individual nation research reveals that only KSA has a bidirectional correlation between high global inflation rate pressures and economic policy uncertainty, whereas Bahrain has no causality. The United Arab Emirates and Qatar exhibit bidirectional causality between high global inflation rate pressures and domestic economic policy uncertainties. Domestic economic policy uncertainty has no bearing on KSA's high global inflation rate pressures; thus, there is a one-way causality from high global inflation rate pressures to domestic economic policy uncertainty in KSA. Overall, economic policy uncertainty influences high global inflation rate pressures in these nations, while high global inflation rate pressures and domestic economic policy uncertainty mutually impact each other. Overall, the GCC countries would benefit from an augmented Taylor rule that includes financial stability as an extra monetary policy aim. It is necessary to make a more general adjustment in the model dynamics underlying the shock transmission mechanism. JEL Classification Code: ECM, PNARDL, PVAR, Eviews12, ARDL, NCSS12

Altmetric functions of foreign current research information systems (CRIS-systems)

Altmetric methods enable to facilitate assessing research results on the basis of their citations and use by other users. The author addresses Current Research Information Systems (CRIS) as the core resources to reflect research output of individual research institutions. The purpose of her study is to analyze the experience of applying altmetrics in foreign CRIS. Besides, she reviews the studies in altmetrics and characterizes in brief altmetric indicators and their providers. Based on the analysis, the author suggests that Altmetric.com and Plum Analytics are the main source of altmetric data. Three groups of indicators are specified, namely: social metrics (twits, likes, reposts, comments), influence metrics (saving bookmarks and favorites, citing from different information resources, meeting a sustainable development goal), and use metrics (clicks, views, loads, library lending). The influence metrics is an alternative metric characteristic for foreign CRIS, as it is a sustainable development indicator based on the UN Sustainable Development Goals.

Using Text Mining to Identify Teleological Explanations in Physics and Biology Textbooks: An Exploratory Study

AbstractCreating and critiquing explanations of phenomena is a significant goal of many scientific disciplines and therefore also a learning goal of science education. A significant source of explanations is science textbooks; however, the large corpus of text in textbooks means that manual review of explanations by individual researchers is extremely time consuming. In this paper, we introduce a text-mining approach for identifying legitimate and illegitimate forms of teleological explanations in school physics and biology textbooks. An ongoing debate exists about the legitimacy of teleological explanations, that is, explanations which account for a phenomenon by reference to a final end, purpose, or goal. Until recently, researchers tended to view teleology as an illegitimate form of scientific explanation. Recent theoretical cases in biology and physics have emphasized that legitimate teleological explanations exist in both domains. Eight science textbooks used in England and internationally were analyzed for instances of teleological explanations. The analysis reveals the efficiency of the text-mining approach for automating the analysis of textbooks and its potential as a research approach in science education. In considering text mining as a research approach, we report terms that are likely to be associated with legitimate teleological explanations. We found that legitimate teleological accounts are used by textbook authors, and we present novel categorizations of these forms of explanation. We argue that text mining can be a useful approach in science education research and our findings suggest guidance for both textbook writers and teachers related to their selection of legitimate explanatory forms.

Reputation Without Practice? A Dynamic Computational Model of the Unintended Consequences of Open Scientist Reputations

Practicing open science can have benefits for the career prospects of individual researchers or labs through higher quality work and increased chances of publication. However, being an outspoken advocate of open science might also indirectly benefit individual scientific careers, in the form of status in a scientific community, decisions for tenure, and eligibility for certain kinds of funding. Therefore, it may be profitable for individual labs to appear to engage in open science practices, without actually putting in the associated effort or doing only the bare minimum. In this article, we explore two types of academic behavior through a dynamic computational model (cf. Smaldino & Mcelreath,2016) of an academic community that rewards open science: (1) practicing open science and/or (2) advocating open science. Crossing these two types of behavior leads to four different kinds of labs and we examine which of them thrive in this academic community. We found that labs that practice and advocate open science dominate in a scientific community that values open science. Implications of the model results are discussed.

Narrowing lab‐to‐market gaps: Device innovations in fuel generation, solar‐cell, and photodetection

AbstractAcademic translational research efforts to industry are often an underlying sought‐after goal among various researchers. Through the interchanges of research endeavors between academia‐industry, great innovations can/has been achieved that cater to the real‐world application by bridging “industrially relevant” problem solving with pursuing fundamental studies. It is pertinent that most of the studies from university‐level research works may not translate into demonstrable market products due to various reasons. Funding support, individual researcher goals, socioeconomic factors, and most importantly the technical know‐how of generating revenue strategies for startups, are a few of the factors that have slowed the pace of collaborative efforts. However, we believe that the most crucial component is the identification of the critical parameters that solve long‐standing problems that hinder the scale‐up of the lab scale research into marketable products considering the techno‐economic analysis. To illustrate this, we take the three most relevant examples of devices for fuel generation, devices to utilize solar radiation, and devices for detection and other related applications. In this perspective, we provide an in‐depth case study of each of these critical parameters to comment on the direction of research avenues that can serve as step‐stones for the commercialization of university‐level lab research studies.

Exhumations of Polish Soldiers in Lithuania: History and Methods of Research

The article describes the search for the remains of Polish soldiers in Lithuania from 1992 to the present day, and presents how such research has evolved, and what archaeological research methodology is used. The involvement of specialists from different institutions and disciplines in such searches is discussed. Although the article deals with the search for the remains of all Polish soldiers who died in the course of the 20th century conflicts in general, it is notable that the most numerous part of them is made up of the soldiers of Armia Krajowa. The main data available for such searches is the testimonies of live witnesses, supplemented and refined by archaeological and anthropological research. The methodology of such research is still being shaped on a case-by-case basis, so it is important to review and familiarise oneself with researches that has been carried out and cases of (un)successes, as this may help to plan further, more productive research and searches for individuals from this period in the future.

Institution-Wide Retreats Foster Organizational Learning and Action at a Comprehensive Cancer Center

Providing safe and informed healthcare for sexual and gender minority (SGM) individuals with cancer is stymied by the lack of sexual orientation and gender identity (SOGI) data reliably available in health records and by insufficient training for staff. Approaches that support institutional learning, especially around sensitive topics, are essential for hospitals seeking to improve practices impacting patient safety and research. We engineered annual institutional retreats to identify and unify stakeholders, promote awareness of gaps and needs, identify initiatives, minimize redundant projects, and coordinate efforts that promote improvements in SGM cancer care, education, and research. The 2022 and 2023 retreats employed a 4-h hybrid format allowing virtual and in-person engagement. Retreat organizers facilitated small-group discussions for brainstorming among participants. We performed descriptive statistics from retreat evaluations. The retreats engaged 104 attendees from distinct departments and roles. Participants expressed robust satisfaction, commending the retreat organization and content quality. Notably, the first retreat yielded leadership endorsement and funding for a Quality Improvement pilot to standardize SOGI data collection and clinical staff training. The second retreat provided a platform for updates on focused efforts across the institution and for receiving direction regarding national best practices for SGM care and research. We report the processes and outcomes of institution-wide retreats, which served as a platform for identifying gaps in organizational healthcare practices and research for SGM individuals with cancer. The strategies described herein may be readily scaled at other cancer hospitals seeking to learn and enact system-wide practice changes that support the needs of SGM patients and families.

Quantitative needs assessment tools for people with mental health problems: a systematic scoping review

Needs assessment in mental health is a complex and multifaceted process that involves different steps, from assessing mental health needs at the population or individual level to assessing the different needs of individuals or groups of people. This review focuses on quantitative needs assessment tools for people with mental health problems. Our aim was to find all possible tools that can be used to assess different needs within different populations, according to their diverse uses. A comprehensive literature search with the Boolean operators “Mental health” AND “Needs assessment” was conducted in the PubMed and PsychINFO electronic databases. The search was performed with the inclusion of all results without time or other limits. Only papers addressing quantitative studies on needs assessment in people with mental health problems were included. Additional articles were added through a review of previous review articles that focused on a narrower range of such needs and their assessment. Twenty-nine different need-assessment tools specifically designed for people with mental health problems were found. Some tools can only be used by professionals, some by patients, some even by caregivers, or a combination of all three. Within each recognized tool, there are different fields of needs, so they can be used for different purposes within the needs assessment process, according to the final research or clinical aims. The added value of this review is that the retrieved tools can be used for assessment at the individual level, research purposes or evaluation at the outcome level. Therefore, best needs assessment tool can be chosen based on the specific goals or focus of the related needs assessment.

The big picture of sexual science

Abstract This article identifies a few paradigmatic ways whereby the big picture of sexual science has been made possible, especially through a diversification in the uneven but interconnected geography of scientific practice. It focuses on the ways in which the life and work of individual researchers, institutional settings and journal circulations have anchored the development of narratives about the history of sexual science. By delineating the shifting cultural geography, epistemological premise and conceptual innovations in sexological research, it is possible to cast the co-constituted nature of knowledge making as an enterprise simultaneously local and global in its reach. The rise of modern sexual science represented as much a gestalt counterpart to the evolutionary paradigm as a response to the shifting terrains of religious and legal governance in the regulation of sexuality.

Ketogenic diet has a positive association with mental and emotional well-being in the general population

ObjectivesA ketogenic diet reduces pathologic stress and improves mood in neurodegenerative and neurodevelopmental disorders. However, the effects of a ketogenic diet for people from the general population have largely been unexplored. A ketogenic diet is increasingly used for weight loss. Research in healthy individuals primarily focuses on the physical implications of a ketogenic diet. It is important to understand the holistic effects of a ketogenic diet, not only the physiological but also the psychological effects, in non-clinical samples. The aim of this cross-sectional study with multiple cohorts was to investigate the association of a ketogenic diet with different aspects of mental health, including calmness, contentedness, alertness, cognitive and emotional stress, depression, anxiety, and loneliness, in a general healthy population. MethodsTwo online surveys were distributed: cohort 1 used Bond-Lader visual analog scales and Perceived Stress Scale (n = 147) and cohort 2 the Depression Anxiety Stress Scale and revised UCLA Loneliness Scale (n = 276). ResultsA ketogenic diet was associated with higher self-reported mental and emotional well-being behaviors, including calmness, contentedness, alertness, cognitive and emotional stress, depression, anxiety, and loneliness, compared with individuals on a non-specific diet in a general population. ConclusionThis research found that a ketogenic diet has potential psychological benefits in the general population.

Machine Learning-Based Approach for Identifying Research Gaps: COVID-19 as a Case Study.

Research gaps refer to unanswered questions in the existing body of knowledge, either due to a lack of studies or inconclusive results. Research gaps are essential starting points and motivation in scientific research. Traditional methods for identifying research gaps, such as literature reviews and expert opinions, can be time consuming, labor intensive, and prone to bias. They may also fall short when dealing with rapidly evolving or time-sensitive subjects. Thus, innovative scalable approaches are needed to identify research gaps, systematically assess the literature, and prioritize areas for further study in the topic of interest. In this paper, we propose a machine learning-based approach for identifying research gaps through the analysis of scientific literature. We used the COVID-19 pandemic as a case study. We conducted an analysis to identify research gaps in COVID-19 literature using the COVID-19 Open Research (CORD-19) data set, which comprises 1,121,433 papers related to the COVID-19 pandemic. Our approach is based on the BERTopic topic modeling technique, which leverages transformers and class-based term frequency-inverse document frequency to create dense clusters allowing for easily interpretable topics. Our BERTopic-based approach involves 3 stages: embedding documents, clustering documents (dimension reduction and clustering), and representing topics (generating candidates and maximizing candidate relevance). After applying the study selection criteria, we included 33,206 abstracts in the analysis of this study. The final list of research gaps identified 21 different areas, which were grouped into 6 principal topics. These topics were: "virus of COVID-19," "risk factors of COVID-19," "prevention of COVID-19," "treatment of COVID-19," "health care delivery during COVID-19," "and impact of COVID-19." The most prominent topic, observed in over half of the analyzed studies, was "the impact of COVID-19." The proposed machine learning-based approach has the potential to identify research gaps in scientific literature. This study is not intended to replace individual literature research within a selected topic. Instead, it can serve as a guide to formulate precise literature search queries in specific areas associated with research questions that previous publications have earmarked for future exploration. Future research should leverage an up-to-date list of studies that are retrieved from the most common databases in the target area. When feasible, full texts or, at minimum, discussion sections should be analyzed rather than limiting their analysis to abstracts. Furthermore, future studies could evaluate more efficient modeling algorithms, especially those combining topic modeling with statistical uncertainty quantification, such as conformal prediction.

Nuclear translocation of metabolic enzyme PKM2 participates in high glucose-promoted HCC metastasis by strengthening immunosuppressive environment

Although some cohort studies have indicated a close association between diabetes and HCC, the underlying mechanism about the contribution of diabetes to HCC progression remains largely unknown. In the study, we applied a novel HCC model in SD rat with diabetes and a series of high glucose-stimulated cell experiments to explore the effect of a high glucose environment on HCC metastasis and its relevant mechanism. Our results uncovered a novel regulatory mechanism by which nuclear translocation of metabolic enzyme PKM2 mediated high glucose-promoted HCC metastasis. Specifically, high glucose-increased PKM2 nuclear translocation downregulates chemerin expression through the redox protein TRX1, and then strengthens immunosuppressive environment to promote HCC metastasis. To the best of our knowledge, this is the first report to elucidate the great contribution of a high glucose environment to HCC metastasis from a new perspective of enhancing the immunosuppressive microenvironment. Simultaneously, this work also highlights a previously unidentified non-metabolic role of PKM2 and opens a novel avenue for cross research and intervention for individuals with HCC and comorbid diabetes.

The use of Internet resources in historical research

Computer technology has long been an integral part of our lives. The information resource of mankind is constantly growing, being updated and replenished, and benefits professionals of any specialization. Currently, the Internet has turned into a vast information space, into an immeasurable repository. In this repository, information of various kinds (scientific, business, educational, text, audio and video information) is publicly available and is constantly being enriched, there are virtual archives, libraries, and news feeds. The worldwide information network has connected not only individual researchers, but also numerous scientific organizations around the world. The object of the research is the analysis of Internet resources and the application of their potential in the field of historical knowledge. The subject of the research is the analysis of the Internet as a modern information environment of historical science, the use of Internet capabilities in historical research, as well as in historical education. The following methods were used in writing the work: historicism, historical-comparative, historical-genetic. This made it possible to discover potential Internet resources in the field of historical research. When writing the work, the author conducted a study, during which more than 300 sites and Web pages on the history of Russia and world history, located on various servers, were analyzed. The author gave a description of the main groups of sources represented on the Internet, and proposed his own classification of professional resources. He also focused on the characteristics of resources created by Academic organizations, the search for special articles and books, historical multimedia resources, collections of encyclopedias and dictionaries, anthologies, the use of blogs and forums, as well as file-sharing networks to search for historical information. Internet bibliographic resources, electronic catalogs, and meta-search bibliographic systems are also highlighted. Special attention is paid to the methods of more effective search for historical information, a new search concept is proposed.

Integrating Cardiovascular Engineering and Biofluid Mechanics in High School Science, Technology, Engineering, and Mathematics Education: An Experiential Approach.

Science, technology, engineering, and mathematics (STEM) education workshops and programs play a key role in promoting early exposure to scientific applications and questions. Such early engagement leads to growing not only passion and interest in science, but it also leads to skill development through hands-on learning and critical thinking activities. Integrating physiology and engineering together is necessary especially to promote health technology awareness and introduce the young generation to areas where innovation is needed and where there is no separation between health-related matters and engineering methods and applications. To achieve this, we created a workshop aimed at K-12 (grades 9-11) students as part of the Summer Youth Programs at Michigan Technological University. The aim of this workshop was to expose students to how engineering concepts and methods translate into health- and medicine-related applications and cases. The program consisted of a total of 15 h and was divided into three sections over a period of 2 weeks. It involved a combination of theoretical and hands-on guided activities that we developed. At the end of the workshop, the students were provided a lesson or activity-specific assessment sheet and a whole workshop-specific assessment sheet to complete. They rated the programs along a 1-5 Likert scale and provided comments and feedback on what can be improved in the future. Students rated hands-on activities the highest in comparison with case studies and individual independent research. Conclusively, this STEM summer-youth program was a successful experience with many opportunities that will contribute to the continued improvement of the workshop in the future.

ASSESING ROMANIAN FARMERS’ MOTIVATION FOR DIGITALIZATION: A UNIFIED THEORY OF ACCEPTANCE AND USAGE OF TECHNOLOGY (UTAUT) BASED RESEARCH MODEL

The digital agriculture adoption strive by farmers could be assimilated with the adoption efforts of the computer technologies (ICT) by their respective users in other professional fields. Therefore, this paper proposes the adaptation of the Unified Theory of Acceptance and Usage of Technology (UTAUT) model to explore the motivations for the use of digital tools by field crop farmers in Romania. The history of TAM and UTAUT is explored as well as the usage of UTAUT2 and UTAUT3 in digital agriculture adoption studies globally. Furthermore, comparison is also made with other farmer studies based on a different research architecture conceived also to explore their motivations to use digital agriculture tools. The proposed model is building on the decades long research and validation of the UTAUT model, and it will be employed in subsequent quantitative studies to evaluate the Romanian farmers’ motivations to embrace the digital agriculture technologies and practices. The paper is the outcome of the individual research done by the author and it was enhanced following academic debates and conference presentations. It is deemed to have a dual applicability, as a field tool for academic research but also provides guidance for companies developing digital tools for farmers in Romania and beyond.

Helicopter main rotor FSI analysis using parametric blade model as an application for multidisciplinary optimization

This work is part of a research program aimed at finding new approaches and design solutions for helicopter main rotor modelling using multidisciplinary optimization. It is the fourth stage of an individual research program that includes preliminary tasks such as parametric modelling of a single blade, CFD modelling of a full main rotor for different flight conditions, and preliminary structural modelling of a blade. The main goal of this work is to present the parametric modelling of the rotor blade body and structure as an application for complex simulation. The paper demonstrates the method of advanced analysis of the entire rotor and provides exemplary results obtained from complicated analyses. The analytical foundation for combined fluid-structure analysis is presented. The parametric design method is shown to be applicable for different blade planform shapes and various section airfoils. The blade CFD fluid domain is also prepared using the parametric method, as well as the blade’s inner structure. The simulation parameters from the previous stages of research, which serve as inputs to the FSI analysis, are outlined. These previously obtained parameters are combined and introduced into an FSI simulation to assess their compatibility and applicability. The configuration procedure of the analysis and the boundary conditions are presented. The obtained numerical results are then compared with analytical assumptions. The simulation products, which serve as inputs for further analysis, are presented with graphical representations. The time and memory consumption of the simulation are outlined. The application of the described work in an optimization loop is proposed. As a result of this research, new options for main rotor optimization are developed. The paper demonstrates some crucial possibilities of FSI analysis in the described simulation cases. The use of combined parametric modeling with fluid-structure interaction analysis for different flight conditions is presented as a new perspective for multidisciplinary design optimization of a helicopter rotor system.

Diagnostic test accuracy in longitudinal study settings: theoretical approaches with use cases from clinical practice

ObjectivesIn this study, we evaluate how to estimate diagnostic test accuracy (DTA) correctly in the presence of longitudinal patient data (ie, repeated test applications per patient). Study Design and SettingWe used a nonparametric approach to estimate the sensitivity and specificity of three tests for different target conditions with varying characteristics (ie, episode length and disease-free intervals between episodes): 1) systemic inflammatory response syndrome (n = 36), 2) depression (n = 33), and 3) epilepsy (n = 30). DTA was estimated on the levels ‘time’, ‘block’, and ‘patient-time’ for each diagnosis, representing different research questions. The estimation was conducted for the time units per minute, per hour, and per day. ResultsA comparison of DTA per and across use cases showed variations in the estimates, which resulted from the used level, the time unit, the resulting number of observations per patient, and the diagnosis-specific characteristics. Intra- and inter-use-case comparisons showed that the time-level had the highest DTA, particularly the larger the time unit, and that the patient-time-level approximated 50% sensitivity and specificity. ConclusionResearchers need to predefine their choices (ie, estimation levels and time units) based on their individual research aims, estimands, and diagnosis-specific characteristics of the target outcomes to make sure that unbiased and clinically relevant measures are communicated. In cases of uncertainty, researchers could report the DTA of the test using more than one estimation level and/or time unit.

Learning Phonology with Data in the Classroom: Engaging Students in the Creolistic Research Process

Phonology is a linguistic discipline that is naturally computational. However, as many researchers are not familiar with the use of digital methods, most of the computation required is still performed by humans. This article presents a training experiment of master’s students of the phonology seminar at the University of Porto, bringing the research process directly to the classroom. The experiment was designed to raise students’ awareness of the potentialities of combining human and machine computation in phonology. The Centre for Digital Culture and Innovation (CODA) readily embraced this project to showcase the application of digital humanities as humanities in both research and training activities. During this experiment, students were trained to collect and process phonological data using various open-source and free web-based resources. By combining a strict protocol with some individual research freedom, the students were able to make valuable contributions towards Creolistic Studies, while enriching their individual skills. Finally, the interdisciplinary nature of the approach has demonstrated its potential within and beyond the humanities and social sciences fields (e.g., linguistics, archaeology, history, geography, ethnology, sociology, and genetics), by also introducing the students to basic concepts and practices of Open Science and FAIR principles, including Linked Open Data.