Social Science Data Research Articles

Social Science Data as a Challenge for Contemporary History

Social Science Data as a Challenge for Contemporary History

Best practices for studies using digital data donation

AbstractDigital trace data form a rich, growing source of data for social sciences and humanities. Data donation offers an innovative and ethical approach to collect these digital trace data. In data donation studies, participants request a copy of the digital trace data a data controller (e.g., large digital social media or video platforms) collected about them. The European Union’s General Data Protection Regulation obliges platforms to provide such a copy. Next, the participant can choose to share (part of) this data copy with the researcher. This way, the researcher can obtain the digital trace data of interest with active consent of the participant. Setting up a data donation study involves several steps and considerations. If executed poorly, these steps might threaten a study’s quality. In this paper, we introduce a workflow for setting up a robust data donation study. This workflow is based on error sources identified in the Total Error Framework for data donation by Boeschoten et al. (2022a) as well as on experiences in earlier data donation studies by the authors. The workflow is discussed in detail and linked to challenges and considerations for each step. We aim to provide a starting point with guidelines for researchers seeking to set up and conduct a data donation study.

Leveraging social media and community science data for environmental niche models: A case study with native Australian bees

Museum occurrence records are popular sources of information for creating Environmental Niche Models (ENMs), which allow the mapping of the potential niche ranges of species. Occurrence data is often downloaded en masse from established databases. However, the use of non-traditional data sources, such as occurrence records from community/citizen science outreach and social media, is increasing in use and abundance. Data from non-traditional data sources are potentially valuable records of information, particularly for species where museum occurrence records may be comparatively scarce. In the current study, we aimed to determine the impact of adding occurrence data from non-traditional databases to ENMs that were originally created using traditional databases with a group of comparatively understudied species, native Australian bees. We used the Maxent algorithm to model the potential environmental niches of eight species. We created three models for each species: 1) one consisting of only location data from museum specimen collection records from the Atlas of Living Australia (ALA) (a traditional database), 2) one combining ALA and geo-tagged social media (Flickr) data, and 3) a model combining ALA and geo-tagged community science data from iNaturalist. This resulted in 24 different models. By comparing the models produced from each of the augmented data sets with the traditional species data set (ALA vs. ALA & Flickr; ALA vs. ALA & iNaturalist) we showed that there were significant differences, not only in predicted ranges, but also in the weighting of environmental variables used by the models to predict the environmental niche. Differences were more greatly influenced by the geographic location of the extra occurrences rather than the number of additional occurrence points. We demonstrate the potential value and risks of including social media and community science geo-tagged image data in supplementing knowledge of species distributions, particularly for relatively under-sampled species such as native bees.

E-Procurement and Performance of Humanitarian United Nation Agencies and Non-Governmental Organizations in South Sudan

Manual procurement processes are expensive in terms of human resource cost, purchasing cost, wastage due to errors of commission or omissions, cause of delay in delivery of goods, services and works which accounts for 40% of losses to inefficiencies, and attracts corruption in the system amongst others. The study was guided by four objectives: To assess the role of e-tendering on performance of humanitarian United Nations agencies and non-governmental organizations in South Sudan. To examine effect of e-contract management on performance of humanitarian United Nations agencies non-governmental organizations in South Sudan. To evaluate effect of e-order processing on performance of humanitarian United Nations agencies non-governmental organizations in South Sudan and to explore influence of e-supplier management on performance of humanitarian United Nations agencies non-governmental organizations in South Sudan. The study methodology adopted explanatory research design of cross-sectional type for the population under study. There were over 235 National Non-governmental organizations, 150 International organizations in addition to over 15 United Nations agencies, bringing the total target population to 400 organizations. This study targeted 400 humanitarian organizations operating in South Sudan. Therefore, the sample size of 200 humanitarian organizations operating in South Sudan were selected using stratified random sampling technique. Data was collected using structured questionnaires which was dropped and picked later or emailed. The data collected from two hundred (200) respondents was coded into statistical package of social sciences (IBM SPSS v29) data analysis tool. The researcher covered a total of 20 respondents for pilot testing. Content validity was also conducted while reliability was conducted using Cronbach alpha. The data was presented in inform of graphs, charts, bars for descriptive analysis. Reliability findings indicated that e-tendering had Cronbach Alpha Coefficient of 0.873, e-contract management had 0.852, e-order processing had 0.872, e-supplier management had 0.736, and performance had 0.859. All the variables had Cronbach Alpha Coefficients greater than 0.7 and this denoted that the questionnaire was reliable. Validity findings reported that KMO value was 0.623 which was above the recommended minimum threshold of 0.5. This statistic implies that the statements in the questionnaire were adequate. In addition, results of the Bartlett roundness test yielded a chi-square statistic of 41.373 and a p-value of 0.000<0.05. These statistics indicate that the statements were correlated and therefore suitable for further analysis. The study found that e-tendering, e-contract management, e-order processing, and e-supplier management have a positive and significant relationship with performance. The study hence concluded that e-tendering, e-contract management, e-order processing, and e-supplier management have a positive and significant effect on performance of humanitarian United Nations agencies non-governmental organizations in South Sudan. Based on these findings, the study suggested that all NGOs and humanitarian agencies should ensure they adopt the use of e-platforms in conducting activities relating to procurement. The study also recommends that the policy makers that make policies relating to humanitarian agencies and NGOs should formulate for them a policy that will enable them make use of the e-platform in conducting procurement activities without any limitations.

How changes projected by climate models can inform climate adaptation and marine sanctuary management: A collaborative prototype methodology

Coral reefs are highly important ecosystems providing habitat for biodiverse marine life and numerous benefits for humans. However they face immense risks from climate change. To date, Representative Concentration Pathway (RCP) climate models have aided global discussions on possible policy responses to adapt to change, but tailored climate projections at a useful scale for environmental managers are often prohibitively expensive to produce. Our research addresses this problem by presenting a novel type of collaborative, participatory research that integrates 1) site specific climate metrics from the Community Earth System Model version 2 large ensemble (CESM2-LE), 2) ecosystem response models to determine Degree Heating Months and coral bleaching impacts, and 3) collaborative social science data from environmental manager engagement to see how managers in one of the most visited marine sanctuaries in the world are enacting adaptive governance, stewarding reefs through climate impacts of the future. Our research is valuable to decision-makers seeking opportunities for innovative policy responses to climate impacts focused on experimentation and dialogue.

Data on the Margins – Data from LGBTIQ+ Populations in European Social Science Data Archives

Data gaps are a significant lack of data about marginalized groups existing due to unequal power relations (D’Ignazio and Klein, 2020). They both perpetuate and result in a dominance of male, white, hetero, and cis perspectives in how we make sense of and interact with the world. The most prominent data gap is the gender data gap notably described by Criado-Perez (2020). However, not only women, but all marginalized groups are affected by such gaps, as data about them are frequently not collected due to a disregard on behalf of those in power of the need to do so. LGBTIQ+ people, considered a ‘hidden population’ by demographers, are a case in point. The acronym is used to refer to lesbian, gay, bisexual, trans, intersex, and queer people, as well as all people with non-normative sexual or gender identities, including asexual and agender people, who do not consider themselves as falling under one of these labels. A first step towards identifying and closing data gaps is to take stock of data that already exist. In this paper we give an overview of LGBTIQ+ data in European social science archives. We researched all data archives of CESSDA ERIC, the Consortium of European Social Science Data Archives, and found 66 LGBTIQ+ datasets in 9 of the 34 member and associated archives and 1 former member archive. We discuss characteristics, coverages, and findability of the identified datasets and approach the question of potential data gaps by analyzing the keywords assigned to each dataset by the archive.

Analisis Tingkat Pemahaman Calon Guru Madrasah Ibtidaiyah

Curriculum development is closely related to changes in world conditions because education will always lead to more profitable results for both teachers and students. The aim of the research was to determine the level of understanding of PGMI STAI Jam'iyah Mahmudiyah students regarding the independent learning curriculum. The type of research used is quantitative research. The data collection method used is indirect communication techniques. The data collection tool used is based on the selected data collection technique, namely a questionnaire. Collecting information through distributing questionnaires containing questionnaires to respondents. The hypothesis t test technique was carried out using the statistical package for social science (SPSS) data processor version 22 for Windows. The results of the research show that based on the data obtained, it can be seen that the level of significance is 0.001 < 0.05 through paired sample t-test analysis. It can be used to predict the influence of variable implementation of the independent learning curriculum).

Children picturing their own worlds: Using photovoice to amplify children's voice in sociological research.

This research note highlights an emerging transdisciplinary research method-photovoice-and why it is particularly suited for sociological studies of children and youth. Traditional social science data collection methods can be limited in their ability to capture both the depth and breadth of childhood experiences and children's perceptions of their experiences. We describe an emerging method, photovoice, that is used more frequently in other disciplines, and its suitability for sociologically studying youth and children. We describe the limitations of traditional social science methods and how photovoice can help overcome some of these limitations. Photovoice engages participants as lived experts who contribute to both the data collection and analysis in an individual and collective manner. Through taking photos and discussing their meaning, participants can share abstract feelings and discuss sensitive topics in an imaginative format and express themselves creatively. We describe how previous research has used photovoice to work with youth from vulnerable circumstances and those who have experienced trauma as well as demonstrate how photovoice is well situated to bolster the tenets of sociological research.

Entry-Level Occupational Therapy Student Volunteer Activities During COVID-19 and Beliefs about Practitioner Roles in Crisis Management

Background: Due to the global novel coronavirus disease 2019 (COVID-19) pandemic, many students in entry-level occupational therapy programs faced changes to their daily roles, habits, and routines. To understand beliefs about OT practitioner roles in a public health crisis, a cross-sectional study was designed to understand occupational therapy students (OTS) and occupational therapy assistant students (OTAS) volunteer activities during the COVID-19 pandemic. Methods: A survey was developed and distributed in April 2020, and closed after five weeks. Quantitative data was analyzed in Statistical Package for Social Sciences (Version 27) and open response data was categorized in Microsoft Excel. Results: Respondents included students from entry-level OT/OTA accredited programs such as occupational therapy doctorate, entry level master’s, bachelor’s to master’s and occupational therapy assistant (n=853, 2.8% of OTS/OTAS population). Nearly all respondents endorsed that OT practitioners have at least one role during a crisis (n=851, 99.8%) and after a crisis (n=848, 99.4%) like COVID-19. A minority of students volunteered in response to COVID-19 (n=60, 7.0%). Volunteer activities addressed clinical work, food insecurity, loneliness, social justice, healthcare workers, COVID-19 transmission, and personal protective equipment. Inspirations for volunteering included altruism, justice, personal responsibility, changes to routines, calls to action, and fulfilling obligations. Discussion: It is hoped that this study serves as a springboard for future research related to the OTS/OTAS response to COVID-19. Educators can prepare students for future public health emergencies by exposing them to information regarding OT’s role in disaster management.

Prevalence of Back Deformities Among Primary School Students

<i>Background</i>: The high incidence of spinal abnormalities among primary school students is a pressing health issue that demands attention. Recent epidemiological studies have emphasized the importance of spinal anomalies in this specific population. The rising prevalence can be attributed to factors such as sedentary lifestyles, insufficient ergonomic practices, and a lack of awareness. Understanding the extent of these abnormalities is crucial for promptly identifying and intervening since they might affect the general welfare and educational achievement of primary school students. The aim of this study was to estimate the Prevalence of Back Deformities among Primary School Students in Khartoum, Sudan 2022-2023. <i>Materials and Methods</i>: This study is an observational, descriptive, cross-sectional community-based study conducted in four government primary schools in the Bahri locality from November 2022 to February 2023 among primary school students. Data was analyzed and interpreted using Statistical Package for the Social Sciences (SPSS) data analysis software version 26.0. <i>Results</i>: This study included a total of 383 primary school students in Bahri locality (males: 200 (52.2%) and females: 183 (47.8%). The male-to-female ratio is 1.1:1, with a mean age of 9 years and ranging from 6 to 12 years. The posture wall test and Adam forward bending test were used to diagnose coronal and sagittal deformities. The posture wall test was positive in 3 cases (0.78%). There were 3 cases of kyphosis, 2 males and 1 female. The deformity was in the thoracic region in all cases.

Água negra (black water) and overwhelming details: For more-than-nexus approaches to global water–energy–food challenges

This paper advances multidisciplinary research, policy, education and activisms which cohere around the concept of the ‘water–energy–food (W–E–F) nexus’ via an evidence-led critique of normative forms of nexus-thinking which draws upon research with 3705 diverse young people's (aged 10–24 years) W–E–F experiences in SE Brazil. We consider how the neat, cool, ostensibly authoritative buzzword style of W–E–F nexus-thinking is radically unsettled – and sometimes conceptually-critically overwhelmed – via encounters with social scientific data in practice. In particular, the paper presents two interlinked analyses of data relating to young people's everyday engagements with water resources. First, we present a quantitative analysis of young people's everyday participation with/in water resources, highlighting diversities and inequities in relation to age, gender, ethnicity and social class, among other modes of social–cultural heterogeneity and intersectionality. Second, we present a qualitative narration of young people's water-related anxieties, evidencing their intimate everyday interrelations with watery materialities and insecurities – ‘black water’, ‘muddy water’, ‘shit water’ and all. In so doing, we advance an argument for what we term more-than-nexus-thinking: i.e., forms of research, theory and practice which value the apparent conceptual-ethical clarity and interoperability of nexus-thinking, whilst actively thinking-with complexities and deeply-affecting lived experiences of W–E–F in everyday spaces.

Assessing Data Quality in the Age of Digital Social Research: A Systematic Review

While survey data has long been the focus of quantitative social science analyses, observational and content data, although long-established, are gaining renewed attention; especially when this type of data is obtained by and for observing digital content and behavior. Today, digital technologies allow social scientists to track “everyday behavior” and to extract opinions from public discussions on online platforms. These new types of digital traces of human behavior, together with computational methods for analyzing them, have opened new avenues for analyzing, understanding, and addressing social science research questions. However, even the most innovative and extensive amounts of data are hollow if they are not of high quality. But what does data quality mean for modern social science data? To investigate this rather abstract question the present study focuses on four objectives. First, we provide researchers with a decision tree to identify appropriate data quality frameworks for a given use case. Second, we determine which data types and quality dimensions are already addressed in the existing frameworks. Third, we identify gaps with respect to different data types and data quality dimensions within the existing frameworks which need to be filled. And fourth, we provide a detailed literature overview for the intrinsic and extrinsic perspectives on data quality. By conducting a systematic literature review based on text mining methods, we identified and reviewed 58 data quality frameworks. In our decision tree, the three categories, namely, data type, the perspective it takes, and its level of granularity, help researchers to find appropriate data quality frameworks. We, furthermore, discovered gaps in the available frameworks with respect to visual and especially linked data and point out in our review that even famous frameworks might miss important aspects. The article ends with a critical discussion of the current state of the literature and potential future research avenues.

Predicting an unfavorable outcome in patients with liver failure associated with obstructive jaundice syndrome: a prospective observational study

INTRODUCTION: Specialized scales developed to assess survival and mortality of patients after liver transplantation have not been validated when applied to liver failure in the setting of obstructive jaundice. OBJECTIVE: To determine the prognostic value of multiparametric scoring scales and to identify predictors of unfavorable outcome in liver failure due to obstructive jaundice. MATERIALS AND METHODS: 53 patients with confirmed liver failure due to obstructive jaundice of benign etiology who underwent biliary decompression were included in this prospective, observational, single-center study. Depending on the outcome two groups were distinguished: with favorable (n = 27, 51 %) and with unfavorable outcome (n = 26, 49 %). The following time points were defined for the dynamic evaluation of the course of the disease: day 1, day 3, day 7, and day 11 after decompression. Statistical processing of the data was performed using IBM SPSS Statistics 22 software for social science data analysis. RESULTS: The sensitivity and specificity of the studied scales in predicting liver failure due to obstructive jaundice were calculated on the basis of receiver operating characteristic (ROC) analysis. The AUROC for the SOFA was 0.862, for the MELD — 0.882, for the APACHE II — 0.864, for the Child-Turcotte-Pugh — 0.813. The sensitivity and specificity values for the SOFA were 78.9 and 77.8 %, for the MELD — 80.8 and 79.7 %, for the APACHE II — 57.7 and 81.9 %, and for the Child-Turcotte-Pugh — 75.1 and 70.9 %, respectively. Albumin was an independent predictor of unfavorable outcome (AUC ROC 0.909, p = 0.01), sensitivity 88.6 %, specificity 85.2 %. CONCLUSIONS: The scales presented in the study and the biomarker candidate “albumin” showed significant prognostic ability, but low values of sensitivity and specificity (less than 80 %) in some points of the study require the search for additional predictors of unfavorable outcome of liver failure due to obstructive jaundice.

A data-driven ensemble technique for the detection of false data injection attacks in the smart grid framework

The major component of the smart grid (SG) is the advanced metering infrastructure (AMI), which monitors and controls the existing power system and provides interactive services for invoicing and electricity usage management with the utility. Including a cyber-layer in the metering system allows two-way communication but creates a new opportunity for energy theft, resulting in significant monetary loss. This article proposes an approach to detecting abnormal consumption patterns using energy metering data based on the ensemble technique AdaBoost, a boosting algorithm. Different statistical and descriptive features are retrieved from metering data samples, which account for extreme conditions. The model is trained for malicious and non-malicious data for five different attack scenarios, which are analyzed on the Irish Social Science Data Archive (ISSDA) smart meter dataset. In contrast to prior supervised techniques, it works well even with unbalanced data. The efficacy of the proposed theft detection method has been evaluated by comparing the accuracy, precision, recall, and F1 score with the other well-known approaches in the literature.

Examining short-term and long-term effects of self-esteem on relationship satisfaction using a dyadic response surface analysis

The present study investigates the relationship between self-esteem, its interactive patterns within couples, and relationship satisfaction. We employed dyadic response surface analysis (DRSA), an advanced method for examining the links between dyadic interaction patterns and outcome variables. Analyzing data from 731 Dutch heterosexual couples from the Longitudinal internet Studies for the Social Sciences data set across short-term (two-month) and long-term (two-year) timeframes, our findings align with previous research. Both actor and partner self-esteem had significant positive effects on relationship satisfaction, indicating that one’s self-esteem is positively associated with outcomes for both oneself and one’s partner. Additionally, we observed an additive effect where the combined self-esteem of a couple was positively associated with satisfaction. However, an actor superiority effect was noted, where individuals were most satisfied when self-reporting higher self-esteem than their partners, suggesting that one’s own self-esteem plays a more crucial role in their relationship perceptions than their partner’s and that self-esteem may not act as a shared resource. We did not find a significant self-esteem similarity effect on relationship satisfaction. These results were consistent in both timeframe analyses, with and without covariate controls. This study contributes to bridging the gap between existing theoretical models by providing novel insights into how self-esteem patterns within couples relates to relationship wellbeing.

Exploratory and directed search strategies at a social science data archive

Researchers need to be able to find, access, and use data to participate in open science. To understand how users search for research data, we analyzed textual queries issued at a large social science data archive, the Inter-university Consortium for Political and Social Research (ICPSR). We collected unique user queries from 988,475 user search sessions over four years (2012-16). Overall, we found that only 30% of site visitors entered search terms into the ICPSR website. We analyzed search strategies within these sessions by extending existing dataset search taxonomies to classify a subset of the 1,554 most popular queries. We identified five categories of commonly-issued queries: keyword-based (e.g., date, place, topic); name (e.g., study, series); identifier (e.g., study, series); author (e.g., institutional, individual); and type (e.g., file, format). While the dominant search strategy used short keywords to explore topics, directed searches for known items using study and series names were also common. We further distinguished exploratory browsing from directed search queries based on their page views, refinements, search depth, duration, and length. Directed queries were longer (i.e., they had more words), while sessions with exploratory queries had more refinements and associated page views. By comparing search interactions at ICPSR to other natural language interactions in similar web search contexts, we conclude that dataset search at ICPSR is underutilized. We envision how alternative search paradigms, such as those enabled by recommender systems, can enhance dataset search.

Developing systems to encourage FAIR and secure research data

Welcome to first issue of IASSIST Quarterly for 2024; this is Volume 48 of the journal (IQ 48(1) 2024). The three papers in this issue represent different aspects of researchers’ use of data archives. Experts from three major data archives (ICPSR, IPUMS, and GESIS) share their experiences developing systems to make research resources in their archives more findable, accessible, and usable. Lafia, Million, and Hemphill in their article “Exploratory and directed search strategies at a social science data archive” investigate search strategies of users of a large social science data archive. In an effort to understand how users search for curated research data, the authors analyze data queries issued through the Inter-University Consortium for Political and Social Research (ICPSR) website’s search box. The study is meant to inform archives and repositories of their users’ experience and help develop systems that encourage dataset findability, accessibility and reuse. The authors identify two types of data searches, exploratory and directed searches. They find that while users that issued exploratory queries were able to navigate the ICPSR website successfully and refine their searches, they may benefit from more explicit support for query reformation. The authors suggest ways development of tools and training could improve users’ experience. In the article “Stewarding our resources: Building a sustainable IPUMS archival document access system” Daina Magnuson describes IPUMS experience building a web interface to support exploration and dissemination of archival materials associated with IPUMS International (IPUMS-I). Ancillary materials, including thousands of unique pieces of census and survey documentation were obtained by IPUMS-I during data acquisition efforts. This rich source material was curated and preserved by archival staff. Magnuson describes in details the development of a system that would make these resources findable, searchable and downloadable to internal users as well as IPUMS researchers. Strategies describe may inform other data archives considering developing similar tools. Deborah Wiltshire in her article “Developing canonical ‘Safe Researcher’ training materials for Trusted Research Environment” describes the development of training materials for researchers applying to access restricted data through Trusted Research Environment (TRE). The increased use of a virtual desktop environment, as opposed to physical safe rooms, offers researchers easier and more flexible access to restricted data; however, it offers fewer physical safeguards. Attending a mandatory ‘Safe Researcher’ training is one of the principles of the Five Safe Framework[i] developed by the UK’s Office for National Statistics to bridge this gap and assure the safe use of sensitive data. The process described in the article could be easily adapted by other TREs according to their needs and settings (e.g., in-person vs. online training). In the spirit of making information findable, accessible and reusable, we’re happy to share that the Open Journal System platform from the University of Alberta has enabled author linking to ORCID. This means that IQ authors are now able to connect their ORCID iDs to their IQ publications, so that their ORCID profiles will automatically update with those citations as their articles are published. For existing IQ account holders, log into your account at the upper right of the IQ page, and go to Profile > Public. Then click “Create or Connect your ORCID iD” (just below the Homepage URL field). For details, see this video walkthrough of profile authentication. New IQ users will automatically be prompted to link (or create) their ORCID iDs during IQ account creation. Authors are also encouraged to note their ORCID iD link with their affiliation and contact information in an endnote when submitting a manuscript for publication. We hope to see many of you at the 49th Annual IASSIST Conference in Halifax, Nova Scotia, Canada, May 28-31, 2024! Ofira Schwartz and Michele Hayslett, March 2024

Simultaneous variable selection and parameters estimation for longitudinal data subject to missingness and covariates measurement error

Longitudinal studies are indispensable to study the change over time in a response variable. The main challenge of such studies is the presence of missing values. Another challenge in these studies is that covariates may be subject to measurement error. In such studies, variable selection, especially if the data are subject to measurement error and missingness, is crucial. Variable selection may lead to biased results in case of ignoring the missing values. Also, measurement error in covariates can negatively affect the accuracy of the estimates if not treated properly. Variable selection for longitudinal data that suffers from missing values and measurement error in covariates is not well explored in literature. In this article, we propose and develop a simultaneous variable selection and parameter estimation method for longitudinal data that suffers from intermittent missing values and covariates measurement error. The penalized weighted generalized estimating equations is used to account for the missingness in the longitudinal response, and simulation selection extrapolation techniques is used to account for the covariate measurement error. A simulation study is conducted to assess the performance of the proposed method. Also, the applicability of the proposed method is demonstrated using the Longitudinal Internet Studies for Social sciences data.

Purity and Unity: Narcissism and Destructiveness in Nationalistic and Fundamentalistic Ideologies

Abstract: In recent decades, Western societies have been exposed to increasing dynamics of change and crisis as a result of ongoing globalization, and of flight and displacement in many regions of the world. The insecurity and humiliation of being more exposed to global developments than being able to influence them leads many people to seek social security. As a result, populist and far-right ideologies have become increasingly attractive to some. There has also been a revival of authoritarian thinking. Based on Erich Fromm’s concept introduced in the 1930s, its current forms are described in terms of the narcissistic self- and other-dynamics. Social science data show that, in addition to authoritarian thinking, a narcissistic longing for a homogeneous society makes populist and far-right ideologies increasingly attractive. If we analyze this phantasm of a homogeneous nation, we find at its root unconscious fantasies of care and sibling rivalry, of purity and the idea of the Other, the fantasy of a protective whole. Such ideal-narcissistic states of purity and homogeneity do not tolerate divergences and are therefore associated with paranoia and violence. Ultimately, the irreversibility of difference and ambivalence in human life is denied.

Open Data in Social Sciences: Repositories, Standards and Librarianship

Open Data in Social Sciences: Repositories, Standards and Librarianship