Big Data - Supply Chain Management Framework for Forecasting: Data Preprocessing and Machine Learning Techniques
In: TFS-D-22-00437
1898091 Ergebnisse
Sortierung:
In: TFS-D-22-00437
SSRN
These last years, main IT companies have build software solutions and change management plans promoting data quality management within organizations concerned by the enhancement of their business intelligence system. These offers are closely similar data governance schemes based on a common paradigm called Master Data Management. These schemes appear generally inappropriate to the context of complex extended organizations. On the other hand, the community-based data governance schemes have shown their own efficiency to contribute to the reliability of data in digital social networks, as well as their ability to meet user expectations. After a brief analysis of the very specific constraints weighting on extended organization's data governance, and of peculiarities of monitoring and regulatory processes associated to management control and IT within these, we propose a new scheme inspired by Foucaldian analysis on governmentality: the Panopticon data governance paradigm. ; Pour répondre aux attentes de nombre d'organisations, qui cherchent à renforcer l'efficacité de leur système d'information décisionnel mis en défaut par la faible qualité des données de gestion récoltées en leur sein ou auprès de leurs partenaires, les éditeurs logiciels ont déployé des schémas relativement similaires de gouvernance des données dits de Master Data Management . Ces schémas s'avèrent souvent inadaptés aux contraintes pesant sur les organisations étendues. De leur coté, les schémas de gouvernance des données d'inspiration communautaire ont montré leur efficience et leur pertinence vis à vis des attentes des usagers amenés à contribuer à la fiabilité des données dans les réseaux sociaux numériques. Nous proposons un nouveau schéma de gouvernance des données adapté aux contraintes générales pesant sur les organisations étendues et inspiré des analyses Foucaldiennes de la gouvernementalité : la paradigme de gouvernance des données Panoptique
BASE
English:
The HaSpaD project harmonizes and pools longitudinal data for the analysis of partnership biographies from nine German survey programs. These are in detail:
The German Family Panel (pairfam), Data file Version 12.0.0
ALLBUS/GGSS 1980-2016 (Kumulierte Allgemeine Bevölkerungsumfrage der Sozialwissenschaften / Cumulated German General Social Survey 1980-2016)
Family Surveys 1988-2000 (Change and Development of Forms of Family Life in West Germany (Survey of Families), Family and Partner Relations in Eastern Germany (Survey of Families), Change and Development of Ways of Family Life - 2nd Wave (Survey of Families), Change and Development of Families` Way of Life - 3rd Wave (Family Survey))
Mannheim Divorce Study 1996
German Fertility and Family Survey (FFS) 1992
German Life History Studies (Courses of Life and Historical Change in East Germany (Life History Study LV DDR), Courses of Life and Social Change: Courses of Life and Welfare Development (Life History Study LV-West I), Courses of Life and Social Change: The Between-the-War Cohort in Transition to Retirement (Life History Study LV-West II A - Personal Interview), Courses of Life and Social Change: The Between-the-War Cohort in Transition to Retirement (Life History Study LV-West II T - Telephone Interview), Courses of Life and Social Change: Access to Occupation in Employment Crisis (Life History Study LV-West III), East German Life Courses After Unification (Life History Study LV-Ost Panel), East German Life Courses After Unification (Life History Study LV Ost 71), Education, Training, and Occupation: Life Courses of the 1964 and 1971 Birth Cohorts in West Germany (Life History Study LV-West 64/71), Early Careers and Starting a Family: Life Courses of the 1971 Birth Cohorts in East and West Germany (Life History Study LV-Panel 71))
Generations & Gender Survey (German Subsample) GGS Waves 1 and 2
The Survey of Health, Ageing and Retirement in Europe (SHARE), German Sample (Share Waves 1, 2, and 3) and
Socio-Economic Panel (SOEP), data for the years 1984-2018.
The HaSpaD projects does not distribute own datasets. Instead, the HaSpaD syntax package allows to harmonize and pool all German surveys with partnership biographical data which are available for secondary use via a research data repository. Data access to these source data must be arranged autonomously by users of the HaSpaD syntax. The scripts harmonize and pool the partnership biographical data, as well as additional variables on respondents and their partnerships. These include, for example, gender, religious affiliation, and nationality of the respondents. The pooled data set provides the opportunity to analyse previously unanswered questions on marriage and partnership stability from a historical and life course theoretical perspective, in particular on the long-term increase in divorce rates and on social changes in risk factors for separation. In addition, methodological developments of research syntheses will be facilitated.
Deutsch:
Das HaSpaD-Projekt harmonisiert und kumuliert Längsschnittdaten zur Analyse von Partnerschaftsbiografien aus neun deutschen Umfrageprogrammen. Dies sind im Einzelnen:
Beziehungs- und Familienpanels pairfam, Release 12.0
Kumulierte Allgemeine Bevölkerungsumfrage der Sozialwissenschaften (ALLBUS / GGSS) 1980-2016
Familiensurvey 1988 - 2000 (Wandel und Entwicklung familialer Lebensformen in Westdeutschland (Familiensurvey), Familie und Partnerbeziehungen in Ostdeutschland (Familiensurvey), Wandel und Entwicklung familialer Lebensformen - 2. Welle (Familiensurvey), Wandel und Entwicklung familialer Lebensformen - 3. Welle (Familiensurvey))
Mannheimer Scheidungsstudie 1996
Deutscher Fertility and Family Survey 1992
Lebensverlaufsstudien (Lebensverläufe und historischer Wandel in Ostdeutschland (Lebensverlaufsstudie LV-DDR), Lebensverläufe und gesellschaftlicher Wandel: Lebensverläufe und Wohlfahrtsentwicklung (Lebensverlaufsstudie LV-West I), Lebensverläufe und gesellschaftlicher Wandel: Die Zwischenkriegskohorte im Übergang zum Ruhestand (Lebensverlaufsstudie LV-West II A - Persönliche Befragung), Lebensverläufe und gesellschaftlicher Wandel: Die Zwischenkriegskohorte im Übergang zum Ruhestand (Lebensverlaufsstudie LV-West II T - Telefonische Befragung), Lebensverläufe und gesellschaftlicher Wandel: Berufszugang in der Beschäftigungskrise (Lebensverlaufsstudie LV-West III), Ostdeutsche Lebensverläufe im Transformationsprozess (Lebensverlaufsstudie LV-Ost Panel), Ostdeutsche Lebensverläufe im Transformationsprozess (Lebensverlaufsstudie LV-Ost 71), Ausbildungs- und Berufsverläufe der Geburtskohorten 1964 und 1971 in Westdeutschland (Lebensverlaufsstudie LV-West 64/71), Frühe Karrieren und Familiengründung: Lebensverläufe der Geburtskohorte 1971 in Ost‐ und Westdeutschland (Lebensverlaufsstudie LV-Panel 71))
Generations & Gender Survey (Unterstichprobe Deutschland) GGS Waves 1 and 2
The Survey of Health, Ageing and Retirement in Europe (SHARE), Deutsches Sample SHARE Wellen 1, 2, und 3 und
Sozio-oekonomisches Panel (SOEP), Daten der Jahre 1984-2018.
HaSpaD stellt keine eigenen Datensätze zum Download zur Verfügung. Stattdessen ermöglicht das HaSpaD-Syntaxpaket die Verknüpfung aller thematisch relevanten verfügbaren deutschen Umfragedaten, die zur Sekundärnutzung über ein Forschungdatenrepositorium bereitgestellt werden. Der Datenzugang zu diesen Ursprungsdaten muss separat durch Nutzende der HaSpaD-Syntax erfolgen. Die Skripte ermöglichen die Harmonisierung und Kumulation der paarbiografischen Daten aus den verschiedenen Umfrageprogrammen. Außerdem werden harmonisierte Zusatzvariablen an die paarbiografischen Daten angefügt. Hierzu zählen beispielsweise Geschlecht, Konfessionszugehörigkeit und Staatsangehörigkeit. Durch die Verknüpfung werden Analysen zu bislang unbeantwortetem Fragen zu Ehe- und Partnerschaftsstabilität aus historischer und lebensverlaufstheoretischer Perspektive, insbesondere zum langfristigen Anstieg der Scheidungsraten und zum sozialen Wandel von Risikofaktoren für Trennungen möglich. Darüber hinaus werden Untersuchungen methodischen Weiterentwicklung von Forschungssynthesen vereinfacht.
GESIS
English:
The HaSpaD project harmonizes and pools longitudinal data for the analysis of partnership biographies from nine German survey programs. These are in detail:
The German Family Panel (pairfam), Data file Version 12.0.0
ALLBUS/GGSS 1980-2016 (Kumulierte Allgemeine Bevölkerungsumfrage der Sozialwissenschaften / Cumulated German General Social Survey 1980-2016)
Family Surveys 1988-2000 (Change and Development of Forms of Family Life in West Germany (Survey of Families), Family and Partner Relations in Eastern Germany (Survey of Families), Change and Development of Ways of Family Life - 2nd Wave (Survey of Families), Change and Development of Families` Way of Life - 3rd Wave (Family Survey))
Mannheim Divorce Study 1996
German Fertility and Family Survey (FFS) 1992
German Life History Studies (Courses of Life and Historical Change in East Germany (Life History Study LV DDR), Courses of Life and Social Change: Courses of Life and Welfare Development (Life History Study LV-West I), Courses of Life and Social Change: The Between-the-War Cohort in Transition to Retirement (Life History Study LV-West II A - Personal Interview), Courses of Life and Social Change: The Between-the-War Cohort in Transition to Retirement (Life History Study LV-West II T - Telephone Interview), Courses of Life and Social Change: Access to Occupation in Employment Crisis (Life History Study LV-West III), East German Life Courses After Unification (Life History Study LV-Ost Panel), East German Life Courses After Unification (Life History Study LV Ost 71), Education, Training, and Occupation: Life Courses of the 1964 and 1971 Birth Cohorts in West Germany (Life History Study LV-West 64/71), Early Careers and Starting a Family: Life Courses of the 1971 Birth Cohorts in East and West Germany (Life History Study LV-Panel 71))
Generations & Gender Survey (German Subsample) GGS Waves 1 and 2
The Survey of Health, Ageing and Retirement in Europe (SHARE), German Sample (Share Waves 1, 2, and 3) and
Socio-Economic Panel (SOEP), data for the years 1984-2018.
The HaSpaD projects does not distribute own datasets. Instead, the HaSpaD syntax package allows to harmonize and pool all German surveys with partnership biographical data which are available for secondary use via a research data repository. Data access to these source data must be arranged autonomously by users of the HaSpaD syntax. The scripts harmonize and pool the partnership biographical data, as well as additional variables on respondents and their partnerships. These include, for example, gender, religious affiliation, and nationality of the respondents. The pooled data set provides the opportunity to analyse previously unanswered questions on marriage and partnership stability from a historical and life course theoretical perspective, in particular on the long-term increase in divorce rates and on social changes in risk factors for separation. In addition, methodological developments of research syntheses will be facilitated.
Deutsch:
Das HaSpaD-Projekt harmonisiert und kumuliert Längsschnittdaten zur Analyse von Partnerschaftsbiografien aus neun deutschen Umfrageprogrammen. Dies sind im Einzelnen:
Beziehungs- und Familienpanels pairfam, Release 12.0
Kumulierte Allgemeine Bevölkerungsumfrage der Sozialwissenschaften (ALLBUS / GGSS) 1980-2016
Familiensurvey 1988 - 2000 (Wandel und Entwicklung familialer Lebensformen in Westdeutschland (Familiensurvey), Familie und Partnerbeziehungen in Ostdeutschland (Familiensurvey), Wandel und Entwicklung familialer Lebensformen - 2. Welle (Familiensurvey), Wandel und Entwicklung familialer Lebensformen - 3. Welle (Familiensurvey))
Mannheimer Scheidungsstudie 1996
Deutscher Fertility and Family Survey 1992
Lebensverlaufsstudien (Lebensverläufe und historischer Wandel in Ostdeutschland (Lebensverlaufsstudie LV-DDR), Lebensverläufe und gesellschaftlicher Wandel: Lebensverläufe und Wohlfahrtsentwicklung (Lebensverlaufsstudie LV-West I), Lebensverläufe und gesellschaftlicher Wandel: Die Zwischenkriegskohorte im Übergang zum Ruhestand (Lebensverlaufsstudie LV-West II A - Persönliche Befragung), Lebensverläufe und gesellschaftlicher Wandel: Die Zwischenkriegskohorte im Übergang zum Ruhestand (Lebensverlaufsstudie LV-West II T - Telefonische Befragung), Lebensverläufe und gesellschaftlicher Wandel: Berufszugang in der Beschäftigungskrise (Lebensverlaufsstudie LV-West III), Ostdeutsche Lebensverläufe im Transformationsprozess (Lebensverlaufsstudie LV-Ost Panel), Ostdeutsche Lebensverläufe im Transformationsprozess (Lebensverlaufsstudie LV-Ost 71), Ausbildungs- und Berufsverläufe der Geburtskohorten 1964 und 1971 in Westdeutschland (Lebensverlaufsstudie LV-West 64/71), Frühe Karrieren und Familiengründung: Lebensverläufe der Geburtskohorte 1971 in Ost‐ und Westdeutschland (Lebensverlaufsstudie LV-Panel 71))
Generations & Gender Survey (Unterstichprobe Deutschland) GGS Waves 1 and 2
The Survey of Health, Ageing and Retirement in Europe (SHARE), Deutsches Sample SHARE Wellen 1, 2, und 3 und
Sozio-oekonomisches Panel (SOEP), Daten der Jahre 1984-2018.
HaSpaD stellt keine eigenen Datensätze zum Download zur Verfügung. Stattdessen ermöglicht das HaSpaD-Syntaxpaket die Verknüpfung aller thematisch relevanten verfügbaren deutschen Umfragedaten, die zur Sekundärnutzung über ein Forschungdatenrepositorium bereitgestellt werden. Der Datenzugang zu diesen Ursprungsdaten muss separat durch Nutzende der HaSpaD-Syntax erfolgen. Die Skripte ermöglichen die Harmonisierung und Kumulation der paarbiografischen Daten aus den verschiedenen Umfrageprogrammen. Außerdem werden harmonisierte Zusatzvariablen an die paarbiografischen Daten angefügt. Hierzu zählen beispielsweise Geschlecht, Konfessionszugehörigkeit und Staatsangehörigkeit. Durch die Verknüpfung werden Analysen zu bislang unbeantwortetem Fragen zu Ehe- und Partnerschaftsstabilität aus historischer und lebensverlaufstheoretischer Perspektive, insbesondere zum langfristigen Anstieg der Scheidungsraten und zum sozialen Wandel von Risikofaktoren für Trennungen möglich. Darüber hinaus werden Untersuchungen methodischen Weiterentwicklung von Forschungssynthesen vereinfacht.
GESIS
English:
The HaSpaD project harmonizes and pools longitudinal data for the analysis of partnership biographies from nine German survey programs. These are in detail:
The German Family Panel (pairfam), Data file Version 12.0.0
ALLBUS/GGSS 1980-2016 (Kumulierte Allgemeine Bevölkerungsumfrage der Sozialwissenschaften / Cumulated German General Social Survey 1980-2016)
Family Surveys 1988-2000 (Change and Development of Forms of Family Life in West Germany (Survey of Families), Family and Partner Relations in Eastern Germany (Survey of Families), Change and Development of Ways of Family Life - 2nd Wave (Survey of Families), Change and Development of Families` Way of Life - 3rd Wave (Family Survey))
Mannheim Divorce Study 1996
German Fertility and Family Survey (FFS) 1992
German Life History Studies (Courses of Life and Historical Change in East Germany (Life History Study LV DDR), Courses of Life and Social Change: Courses of Life and Welfare Development (Life History Study LV-West I), Courses of Life and Social Change: The Between-the-War Cohort in Transition to Retirement (Life History Study LV-West II A - Personal Interview), Courses of Life and Social Change: The Between-the-War Cohort in Transition to Retirement (Life History Study LV-West II T - Telephone Interview), Courses of Life and Social Change: Access to Occupation in Employment Crisis (Life History Study LV-West III), East German Life Courses After Unification (Life History Study LV-Ost Panel), East German Life Courses After Unification (Life History Study LV Ost 71), Education, Training, and Occupation: Life Courses of the 1964 and 1971 Birth Cohorts in West Germany (Life History Study LV-West 64/71), Early Careers and Starting a Family: Life Courses of the 1971 Birth Cohorts in East and West Germany (Life History Study LV-Panel 71))
Generations & Gender Survey (German Subsample) GGS Waves 1 and 2
The Survey of Health, Ageing and Retirement in Europe (SHARE), German Sample (Share Waves 1, 2, and 3) and
Socio-Economic Panel (SOEP), data for the years 1984-2018.
The HaSpaD projects does not distribute own datasets. Instead, the HaSpaD syntax package allows to harmonize and pool all German surveys with partnership biographical data which are available for secondary use via a research data repository. Data access to these source data must be arranged autonomously by users of the HaSpaD syntax. The scripts harmonize and pool the partnership biographical data, as well as additional variables on respondents and their partnerships. These include, for example, gender, religious affiliation, and nationality of the respondents. The pooled data set provides the opportunity to analyse previously unanswered questions on marriage and partnership stability from a historical and life course theoretical perspective, in particular on the long-term increase in divorce rates and on social changes in risk factors for separation. In addition, methodological developments of research syntheses will be facilitated.
Deutsch:
Das HaSpaD-Projekt harmonisiert und kumuliert Längsschnittdaten zur Analyse von Partnerschaftsbiografien aus neun deutschen Umfrageprogrammen. Dies sind im Einzelnen:
Beziehungs- und Familienpanels pairfam, Release 12.0
Kumulierte Allgemeine Bevölkerungsumfrage der Sozialwissenschaften (ALLBUS / GGSS) 1980-2016
Familiensurvey 1988 - 2000 (Wandel und Entwicklung familialer Lebensformen in Westdeutschland (Familiensurvey), Familie und Partnerbeziehungen in Ostdeutschland (Familiensurvey), Wandel und Entwicklung familialer Lebensformen - 2. Welle (Familiensurvey), Wandel und Entwicklung familialer Lebensformen - 3. Welle (Familiensurvey))
Mannheimer Scheidungsstudie 1996
Deutscher Fertility and Family Survey 1992
Lebensverlaufsstudien (Lebensverläufe und historischer Wandel in Ostdeutschland (Lebensverlaufsstudie LV-DDR), Lebensverläufe und gesellschaftlicher Wandel: Lebensverläufe und Wohlfahrtsentwicklung (Lebensverlaufsstudie LV-West I), Lebensverläufe und gesellschaftlicher Wandel: Die Zwischenkriegskohorte im Übergang zum Ruhestand (Lebensverlaufsstudie LV-West II A - Persönliche Befragung), Lebensverläufe und gesellschaftlicher Wandel: Die Zwischenkriegskohorte im Übergang zum Ruhestand (Lebensverlaufsstudie LV-West II T - Telefonische Befragung), Lebensverläufe und gesellschaftlicher Wandel: Berufszugang in der Beschäftigungskrise (Lebensverlaufsstudie LV-West III), Ostdeutsche Lebensverläufe im Transformationsprozess (Lebensverlaufsstudie LV-Ost Panel), Ostdeutsche Lebensverläufe im Transformationsprozess (Lebensverlaufsstudie LV-Ost 71), Ausbildungs- und Berufsverläufe der Geburtskohorten 1964 und 1971 in Westdeutschland (Lebensverlaufsstudie LV-West 64/71), Frühe Karrieren und Familiengründung: Lebensverläufe der Geburtskohorte 1971 in Ost‐ und Westdeutschland (Lebensverlaufsstudie LV-Panel 71))
Generations & Gender Survey (Unterstichprobe Deutschland) GGS Waves 1 and 2
The Survey of Health, Ageing and Retirement in Europe (SHARE), Deutsches Sample SHARE Wellen 1, 2, und 3 und
Sozio-oekonomisches Panel (SOEP), Daten der Jahre 1984-2018.
HaSpaD stellt keine eigenen Datensätze zum Download zur Verfügung. Stattdessen ermöglicht das HaSpaD-Syntaxpaket die Verknüpfung aller thematisch relevanten verfügbaren deutschen Umfragedaten, die zur Sekundärnutzung über ein Forschungdatenrepositorium bereitgestellt werden. Der Datenzugang zu diesen Ursprungsdaten muss separat durch Nutzende der HaSpaD-Syntax erfolgen. Die Skripte ermöglichen die Harmonisierung und Kumulation der paarbiografischen Daten aus den verschiedenen Umfrageprogrammen. Außerdem werden harmonisierte Zusatzvariablen an die paarbiografischen Daten angefügt. Hierzu zählen beispielsweise Geschlecht, Konfessionszugehörigkeit und Staatsangehörigkeit. Durch die Verknüpfung werden Analysen zu bislang unbeantwortetem Fragen zu Ehe- und Partnerschaftsstabilität aus historischer und lebensverlaufstheoretischer Perspektive, insbesondere zum langfristigen Anstieg der Scheidungsraten und zum sozialen Wandel von Risikofaktoren für Trennungen möglich. Darüber hinaus werden Untersuchungen methodischen Weiterentwicklung von Forschungssynthesen vereinfacht.
GESIS
This white-paper expresses common requirements of Research Communities seeking to leverage Identity Federation for Authentication and Authorisation. Recommendations are made to Stakeholders to guide the future evolution of Federated Identity Management in a direction that better satisfies research use cases. The authors represent research communities, Research Services, Infrastructures, Identity Federations and Interfederations, with a joint motivation to ease collaboration for distributed researchers. The content has been edited collaboratively by the Federated Identity Management for Research (FIM4R) Community, with input sought at conferences and meetings in Europe, Asia and North America. ; The authors also acknowledge the support and collaboration of many other colleagues in their respective institutes, research communities and IT Infrastructures, together with the funding received by these from many different sources. These include but are not limited to the following: (i) The Worldwide LHC Computing Grid (WLCG) project is a global collaboration of more than 170 computing centres in 43 countries, linking up national and international grid infrastructures. Funding is acknowledged from many national funding bodies and we acknowledge the support of several operational infrastructures including EGI, OSG and NDGF/NeIC. (ii) EGI acknowledges the funding and support received from the European Commission and the many National Grid Initiatives and other members. EOSC-hub receives funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 777536. (iii) The work leading to these results has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement No. 730941 (AARC2). (iv) Work on the development of ESGF's identity management system has been supported by The UK Natural Environment Research Council and funding from the European Union's Seventh Framework Programme for research, technological development and demonstration ...
BASE
In: (2023) Oñati Socio-Legal Series (forthcoming)
SSRN
In: Artha Vijnana: Journal of The Gokhale Institute of Politics and Economics, Band 34, Heft 1, S. 41
In: International journal of population data science: (IJPDS), Band 9, Heft 4
ISSN: 2399-4908
Introduction & BackgroundFood retailers' transaction data are increasingly used for research. Unlike many other digital footprints, the representativeness of automatically accumulating food purchase data as such is less biased as food is consumed by all individuals. However, the process of obtaining individual/household level data requires consents from the consumers and, thus, may create selection bias.
Objectives & ApproachThe aim of this work is to describe the recruitment process and participant characteristics in the Finnish LoCard study to evaluate the selection mechanism.
The Finnish LoCard study comprises two cohorts collected in 2018 and 2023 with 47,066 and 42,340 participants, respectively, who have consented to release their food purchase data for research. The study collaborates with S group, the leading retailer in Finland with 47% market share. Members from their loyalty card program were invited to consent to their purchase data being used for research and voluntarily respond to a background questionnaire.
Relevance to Digital FootprintsOur analyses may provide further insights into the selectivity of consumers who are willing to share their purchase data for research purposes.
ResultsFor both LoCard cohorts, all loyalty card holders (n~2.3M) were considered. In LoCard I, the invitations were sent to 1.1M primary card holders with confirmed email addresses, of whom 47,066 (3.9%) participated and consented to their purchase data being used for research. In this cohort, women, middle-aged individuals, individuals with higher education, and employed individuals were overrepresented whereas the retired individuals, those with lower education and individuals with children were underrepresented. In the LoCard II, loyalty card holders (n ~2.24M) with an email address were invited. Of these, 852,009 (37.7%) opened the invitation link, and a further 42,340 provided the consent, resulting in response rate of 1.9% from the original population and 4.9% from those reacting to the email invitation. Data on the characteristics of LoCard II participants are not available yet but will be presented in the conference presentation.
Conclusions & ImplicationsThis work investigates selection mechanisms in the Finnish LoCard study and evaluates the feasibility of reaching underrepresented groups in health studies, such as socioeconomically disadvantaged groups or young men, through a combination of loyalty card program and email invitations.
In: Forthcoming in The Oxford Handbook of the Law of Work, eds Guy Davidov, Brian Langille, and Gillian Lester (2024)
SSRN
In: Transportation research record 1165
In: Jurnal Komunikasi: Ikatan Sarjana Komunikasi Indonesia (ISKI), Band 3, Heft 2
ISSN: 2503-0795
The digitization of communications technology has led to an intense interaction between human and digital-based technology. A large number of digital data traces produced by humans as a result of that activity. Such data is commonly referred to Big Data. The availability of Big Data as a digital data source in turn, opens opportunities for communication scientists to be able to use that data to get the patterns and trends of human activities that have been done through social research. It is necessary to understand the basic concept of the Big Data, using appropriate tools and adequate access to the data, and appropriate research method in order to be able to conduct research by using such digital data. This paper aims to describe the potential of Big Data for the purposes of communication research, the use of appropriate tools, techniques and methods and to identify potential research directions in the digital realm. Some limitations and critical issues related to the research validity, population and sample, as well as ethics in digital media research method were also discussed.
Impression Management Theory and Social Psychological Research gathers together the various strands of thinking and research on impression management. This book does not easily lend itself to a singular organization. Not only do the authors deal with very different topics, they sometimes disagree with one another on assumptions and interpretations. Nevertheless, there are chapters that tend to group together. The book can be organized into six parts. Part I, General Theory, consists of chapters that deal primarily with issues related to the reasons for, and specific tactics of, impression mana
Presentation given by Dr Marta Teperek, Research Data Facility Manager, University of Cambridge at the Research Support Masterclass, 23 June 2016, Rotterdam.
BASE