Entanglement of bibliographic database content and data collection practices: Rethinking data integration using findings from a European study

Abstract While injuries are common from skating sports, few biomechanics studies have compared fracture rates with and without protective wrist guards. All published testing results have been obtained from cadaveric specimens, generally with substantially axial loading. Loads to failure have been reported for slow loading by universal testing machines, and fracture patterns have been reported from more rapid loading with a pendulum system. An orthopaedic resident at Hamot Medical Center had an interest in in-line skating injuries and proposed to investigate whether wrist guards provided a reduction in the incidence of fractures from skating falls. The project started with the goal of demonstrating the value, or lack thereof, of wrist guards, and ended with simply trying to determine methodology which closely simulates wrist injury arising from a skating fall. The hospital does not have engineering staff in the research department, nor extensive fabrication capabilities, and approached the School of Engineering and Engineering Technology of Penn State at Erie for assistance in design, construction, and data collection for a research project to investigate the efficacy of wrist guards. Assistance in kinematic aspects of falls was sought from the Motion Analysis Laboratory of Shriners Hospitals for Children - Erie. The logistics of a cooperative project between three institutions is the subject of this paper. Initial planning for the project, revisions to the scope of the project, the financial arrangements, equipment design and construction, and data collection practices are described in this paper. Concluding remarks about the resources necessary for cooperative projects between medical schools and Engineering Technology departments are presented.

Download Full-text

Data Engagement: A Critical Materialist Framework for Making Data in Qualitative Research

Qualitative Inquiry ◽

10.1177/1077800419846639 ◽

2019 ◽

Vol 26 (7) ◽

pp. 817-826 ◽

Cited By ~ 1

Author(s):

Laura L. Ellingson ◽

Patty Sotirin

Keyword(s):

Qualitative Research ◽

Data Collection ◽

Theoretical Discussion ◽

Disciplinary Practices ◽

Collection Practices ◽

Methodological Practice

The language of “data collection” is perpetuated by disciplinary practices, as well as a pedagogical motivation to make data collection practices teachable to new generations of qualitative researchers. Interpretive and critical qualitative researchers generally bracket meta-theoretical discussion of what we do when we “collect” data, side-stepping epistemological complexities when reporting results. At the same time, we remain keenly aware that researchers bring data into being—we make it. We want to explore rather than skirt the epistemological and ontological issues involved in doing (and teaching) data collection. Yet, we differ from those postqualitative scholars who would abandon the concept of data. As a generative alternative, we promote data engagement. Drawing on intersectional feminist and other critical, materialist theorizing, we articulate a methodological practice that incorporates making, assembling, and becoming data, along with ethical commitments to pragmatism, compassion, and joy.

Download Full-text

Revamping the academic library use data capabilities: the Greek library science postgraduates’ perspective

Library Hi Tech News ◽

10.1108/lhtn-02-2020-0012 ◽

2020 ◽

Vol 37 (6) ◽

pp. 5-9

Author(s):

Stavroula Sant-Geronikolou ◽

Dimitris Kouis

Keyword(s):

Information Systems ◽

Data Collection ◽

Academic Library ◽

Library Science ◽

Successful Implementation ◽

Student Progress ◽

Content Type ◽

Postgraduate Students ◽

Library Use ◽

Collection Practices

Purpose As universities advance towards a new data-informed, intra-institutional collaboration paradigm, new roles and services are continuously added to academic library routines. This changing context that exerts considerable stress upon library organizations to prove their value and contributions to student progress is leading the community to start questioning the utility, scope and prospects of patron data collection practices. The study sought library science postgraduate students’ viewpoints about the adequacy and utility of current library use data collection practices in Greek academic libraries. It also aimed to investigate the value, relevance and priority of the integration of library usage data with the rest of university information systems (e.g. learning analytics) along with associated practical and ethical considerations, and advocacy aspects. Design/methodology/approach Mixed-methods, Web-based survey distributed to postgraduate students during a seminar designed to familiarize them with trends in academic library use data capabilities. Findings Participants acknowledged that neither policies nor procedures are currently adequate to expand and interconnect their data pools to campus information systems. They were opposed to disclosing personally identifiable patron activity data to faculty, while their opinions were divided as to the use of student activity monitoring technology. Nevertheless, they made several comments on how to mitigate the community's considerations around the implementation of this new data management philosophy in the library and were optimistic about the benefits this development could entail for library visibility and student progress. Originality/value Results of this first-time research in the Greek higher education context, revelatory of potential road blockers to upgrading the library use data collection practices, can be of significant value to both curricula developers and university decision-makers who seek ways to prepare the ground for the successful implementation of new operations.

Download Full-text

The Price is (Not) Right: Comparing Privacy in Free and Paid Apps

Proceedings on Privacy Enhancing Technologies ◽

10.2478/popets-2020-0050 ◽

2020 ◽

Vol 2020 (3) ◽

pp. 222-242 ◽

Cited By ~ 1

Author(s):

Catherine Han ◽

Irwin Reyes ◽

Álvaro Feal ◽

Joel Reardon ◽

Primal Wijesekera ◽

...

Keyword(s):

Data Collection ◽

Dynamic Analysis ◽

Online Survey ◽

Mobile Apps ◽

Third Party ◽

Security And Privacy ◽

Consumer Privacy ◽

Static And Dynamic Analysis ◽

Android Apps ◽

Collection Practices

AbstractIt is commonly assumed that “free” mobile apps come at the cost of consumer privacy and that paying for apps could offer consumers protection from behavioral advertising and long-term tracking. This work empirically evaluates the validity of this assumption by comparing the privacy practices of free apps and their paid premium versions, while also gauging consumer expectations surrounding free and paid apps. We use both static and dynamic analysis to examine 5,877 pairs of free Android apps and their paid counterparts for differences in data collection practices and privacy policies between pairs. To understand user expectations for paid apps, we conducted a 998-participant online survey and found that consumers expect paid apps to have better security and privacy behaviors. However, there is no clear evidence that paying for an app will actually guarantee protection from extensive data collection in practice. Given that the free version had at least one thirdparty library or dangerous permission, respectively, we discovered that 45% of the paid versions reused all of the same third-party libraries as their free versions, and 74% of the paid versions had all of the dangerous permissions held by the free app. Likewise, our dynamic analysis revealed that 32% of the paid apps exhibit all of the same data collection and transmission behaviors as their free counterparts. Finally, we found that 40% of apps did not have a privacy policy link in the Google Play Store and that only 3.7% of the pairs that did reflected differences between the free and paid versions.

Download Full-text

Optimalisasi Peta Pengendalian Penduduk untuk Diintegrasikan pada Organisasi Perangkat Daerah (OPD) di Kabupaten Bandung Barat

Journal on Information Technology and Computer Engineering ◽

10.25077/jitce.4.01.49-52.2020 ◽

2020 ◽

Vol 4 (01) ◽

pp. 49-52

Author(s):

Edsryan Puspadianis Ramitha Satya Putri ◽

Muhammad Rozahi Istambul

Keyword(s):

Health Insurance ◽

Data Collection ◽

Data Integration ◽

National Health Insurance ◽

Performance Optimization ◽

Statistical Data ◽

Population Control ◽

Control Data ◽

Education Levels ◽

And Performance

Demographic maps can present statistical data on demographic education levels, population stages, family stages, education levels, age, and number of lives in families based on participation in the National Health Insurance (JKN). Where every Regional Apparatus Organization (OPD) in West Bandung Regency that requires population control data needs a data integration and performance optimization, so that in each Regional Apparatus Organization (OPD) in work there is no more duplication of work. In this study, it is expected to be able to map all information about population control data to help the community and Regional Apparatus Organizations (OPD) in West Bandung Regency in order to obtain information clearly from population control data based on the results of family data collection which will make it easier for Regional Apparatus Organizations (OPD) related in order to help the entire community in West Bandung Regency. In this case a solution will be made by utilizing the QGIS application in solving problems where for population control maps can be integrated in the Regional Apparatus Organization (OPD) in West Bandung Regency.

Download Full-text

Ethical problems in virtual research: Enmeshing the blurriness with Twitter data

E-Learning and Digital Media ◽

10.1177/2042753019834954 ◽

2019 ◽

Vol 16 (3) ◽

pp. 196-207

Author(s):

Kerry Power

Keyword(s):

Theoretical Model ◽

Data Collection ◽

Ethical Issues ◽

User Participation ◽

Ethical Problems ◽

Twitter Data ◽

Presence Data ◽

Service Agreement ◽

Collection Practices

When conceptualising knowledge gained from tapping into an internet data pool, one may question many things which can include the role of the researcher and the researched, privacy and ethics, intention, authenticity and the vastness of scope. The researcher, regardless of research intention including moral or ethical positions, must acknowledge that there are billions of nuances affecting online user participation. Ethical boundaries surrounding available data deemed ‘public’ in a program like Twitter, for example, are not easily wrapped in a terms of service agreement. Ethical problems in virtual research are expansive, and it is necessary to frame how and why researchers should address them. In the following paper, I outline some significant ethical issues in virtual research and address perceived pluralities as enmeshment. Drawing on Barad's ( 2007 , 2010 , 2014 ) theoretical model of diffraction, I poke holes through ethical blurriness and think through ethical possibilities for researchers, including online presence, data collection practices and participant agency.

Download Full-text

Crime

Calculating Race ◽

10.1093/oso/9780197504000.003.0003 ◽

2020 ◽

pp. 33-51

Author(s):

Benjamin Wiggins

Keyword(s):

United States ◽

Criminal Justice ◽

Data Collection ◽

The United States ◽

Late Nineteenth Century ◽

Repeat Offenders ◽

Data Set ◽

Penal Institutions ◽

Late Nineteenth ◽

Collection Practices

From the mid-to-late nineteenth century, in the period after the use of branding and before the use of fingerprinting, penal institutions faced the problem of how to identify repeat offenders. In this interim, Alphonse Bertillon, a clerk in the Paris Prefecture of Police, developed an anthropometric system that measured the bodies of criminals at their intake and catalogued these measurements in order to identify them should they offend again. Calculating Race’s second chapter traces the importation of the Bertillon System of Classification to the United States, where its data collection practices were racialized. It then investigates University of Chicago sociologist Ernest Burgess’s 1920s work on this data set to build a formula for sentencing and parole decisions. The resulting algorithm from Burgess’s work relied heavily on race-based Bertillon data and factored race into its recommendations for length of sentence and supervised release, installing racial statistics as a key variable in matters of criminal justice.

Download Full-text

Race, Gender, and Statistical Representation: Predatory Mortgage Lending and the US Community Reinvestment Movement

Environment and Planning A Economy and Space ◽

10.1068/a38224 ◽

2007 ◽

Vol 39 (9) ◽

pp. 2139-2166 ◽

Cited By ~ 29

Author(s):

Elvin K Wyly ◽

Mona Atia ◽

Elizabeth Lee ◽

Pablo Mendez

Keyword(s):

Data Collection ◽

Mortgage Lending ◽

Predatory Lending ◽

Statistical Representation ◽

Public Data ◽

Race Ethnicity ◽

And Gender ◽

Collection Practices ◽

Ethnicity And Gender ◽

Racial Ethnic

American mortgage markets, once arenas of discrimination by exclusion, now operate as venues of segmentation and discrimination by inclusion: credit is widely available, but its terms vary enormously. One market segment involves sophisticated predatory practices in which certain groups of borrowers are targeted for high-cost credit that strips out home equity and worsens the risks of delinquency, default, and foreclosure. Unfortunately, it has become more difficult to measure inequalities of predatory lending: race–ethnicity and gender are ‘disappearing’ from the main public data source used to study, organize, and mobilize on issues of lending inequalities. In this paper, we present a mixed-methods case study of statistical representation of homeowners and homebuyers marginalized by race, ethnicity, and gender. A theoretical examination of official data-collection practices is followed by a discussion of alternative meanings of racial–ethnic and gender nondisclosure. Interviews with a sample of homeowners and homebuyers in the Washington, DC, area reveal some respondent ambivalence about the details of data-collection practices, but provide no consistent support for the idea that nonreporting is solely a matter of individual choice. Econometric analyses indicate that nondisclosure is driven primarily by lending-industry practices, with the strongest disparate impacts in African-American suburbs. Predatory lending is producing ambivalent spaces of racial-ethnic and gender invisibility, requiring new strategies in the reinvestment movement.

Download Full-text