The Firearms Data Gap.

The firearms data infrastructure in the United States is severely limited in scope and fragmented in nature. Improved data systems are needed in order to address gun violence and promote productive conversation about gun policy. In the absence of federal leadership in firearms data systems improvement, motivated states may take proactive steps to stitch gaps in data systems. We propose that states evaluate the gaps in their systems, expand data collection, and improve data presentation and availability.

Debunking the Stanford Prison Experiment.

The Stanford Prison Experiment (SPE) is one of psychology's most famous studies. It has been criticized on many grounds, and yet a majority of textbook authors have ignored these criticisms in their discussions of the SPE, thereby misleading both students and the general public about the study's questionable scientific validity. Data collected from a thorough investigation of the SPE archives and interviews with 15 of the participants in the experiment further question the study's scientific merit. These data are not only supportive of previous criticisms of the SPE, such as the presence of demand characteristics, but provide new criticisms of the SPE based on heretofore unknown information. These new criticisms include the biased and incomplete collection of data, the extent to which the SPE drew on a prison experiment devised and conducted by students in one of Zimbardo's classes 3 months earlier, the fact that the guards received precise instructions regarding the treatment of the prisoners, the fact that the guards were not told they were subjects, and the fact that participants were almost never completely immersed by the situation. Possible explanations of the inaccurate textbook portrayal and general misperception of the SPE's scientific validity over the past 5 decades, in spite of its flaws and shortcomings, are discussed. (PsycINFO Database Record (c) 2019 APA, all rights reserved).

70-year legacy of the Framingham Heart Study.

The Framingham Heart Study (FHS) was established in 1948 to improve understanding of the epidemiology of coronary heart disease (CHD) in the USA. In 1961, seminal work identified major risk factors for CHD (high blood pressure, high cholesterol levels and evidence on the electrocardiogram of left ventricular hypertrophy), which later formed the basis for multivariable 10-year and 30-year risk-prediction algorithms. The FHS cohorts now comprise three generations of participants (n ≈ 15,000) and two minority cohorts. The FHS cohorts are densely phenotyped, with recurring follow-up examinations and surveillance for cardiovascular and non-cardiovascular end points. Assessment of subclinical disease and physiological profiling of these cohorts (with the use of echocardiography, ambulatory electrocardiographic monitoring, exercise stress testing, cardiac CT, heart and brain MRI, serial vascular tonometry and accelerometry) have been performed repeatedly. Over the past decade, the FHS cohorts have undergone deep 'omics' profiling (including whole-genome sequencing, DNA methylation analysis, transcriptomics, high-throughput proteomics and metabolomics, and microbiome studies). The FHS is a rich, longitudinal, transgenerational and deeply phenotyped cohort study with a sustained focus on state-of-the-art epidemiological methods and technological advances to facilitate scientific discoveries.

THE RHETORICAL USE OF RANDOM SAMPLING: CRAFTING AND COMMUNICATING THE PUBLIC IMAGE OF POLLS AS A SCIENCE (1935-1948).

The scientific pollsters (Archibald Crossley, George H. Gallup, and Elmo Roper) emerged onto the American news media scene in 1935. Much of what they did in the following years (1935-1948) was to promote both the political and scientific legitimacy of their enterprise. They sought to be recognized as the sole legitimate producers of public opinion. In this essay I examine the, mostly overlooked, rhetorical work deployed by the pollsters to publicize the scientific credentials of their polling activities, and the central role the concept of sampling has had in that pursuit. First, they distanced themselves from the failed straw poll by claiming that their sampling methodology based on quotas was informed by science. Second, although in practice they did not use random sampling, they relied on it rhetorically to derive the symbolic benefits of being associated with the "laws of probability."

Trading twitter: Amateur recorders and economies of scientific exchange at the Cornell Library of Natural Sounds.

Scientists have long engaged in collaborations with field collectors, but how are such collaborations established and maintained? This article examines structures of collaborative data collection between professional scientists and various field recorders around the Cornell Library of Natural Sounds. The Library collects animal sound recordings for use in education, preservation, and entertainment, but primarily in the scientific field of bio-acoustics. Since 1945, the Library has enlisted academic researchers, commercial recorders and broadcasters (such as the British Broadcasting Corporation), and amateur sound hunters in its expansion. I argue that the Cornell Library of Natural Sounds managed to craft and sustain a crucial network of contributors through creative and strategic brokering with its collection of recordings/data. Drawing on notions from exchange theory, I show that sound recordings were valued not just as scientific data, but also as copyrighted commodities that could be bought, sold, traded, and converted in a range of economic, social, and symbolic capitals within collaborators' respective social fields. Thus, aligning collaborators' interests, these exchange relations enabled the Cornell Library of Natural Sounds to negotiate amateur recorders' reliability, willingness to share work, and commitment to scientific standards, as well as the bonds that solidified their collaboration with the Cornell Library of Natural Sounds. Attending to the micro-economics of data exchange, this article thus brings into perspective the multi-dimensional processes through which data-flows are managed.

Blood groups and human groups: collecting and calibrating genetic data after World War Two.

Arthur Mourant's The Distribution of the Human Blood Groups (1954) was an "indispensable" reference book on the "anthropology of blood groups" containing a vast collection of human genetic data. It was based on the results of blood-grouping tests carried out on half-a-million people and drew together studies on diverse populations around the world: from rural communities, to religious exiles, to volunteer transfusion donors. This paper pieces together sequential stages in the production of a small fraction of the blood-group data in Mourant's book, to examine how he and his colleagues made genetic data from people. Using sources from several collecting projects, I follow how blood was encountered, how it was inscribed, and how it was turned into a laboratory resource. I trace Mourant's analytical and representational strategies to make blood groups both credibly 'genetic' and understood as relevant to human ancestry, race and history. In this story, 'populations' were not simply given, but were produced through public health, colonial and post-colonial institutions, and by the labour and expertise of subjects, assistants and mediators. Genetic data were not self-evidently 'biological', but were shaped by existing historical and geographical identities, by political relationships, and by notions of kinship and belonging.

Surveying the meritocracy: the problems of intelligence and mobility in the studies of the Population Investigation Committee.

The post-war era saw the emergence of large-scale and longitudinal social and medical surveys in Britain. That these surveys were both representative of an entire nation and could follow individuals throughout their lives, gave them a privileged position in relation to policy-making. This paper will focus on two closely interrelated surveys, both instigated by the Population Investigation Committee at London School of Economics-the National Survey of Health and Development, which began in 1946, and the Scottish Mental Survey of 1947. These surveys had a critical role in educational research and policy and, more specifically, in changing perspectives regarding the concept and measurement of intelligence. They were seen to privilege social and environmental factors as determinants of mental ability, and they shifted attention away from genetic factors and eugenic concerns. However, while the surveys were indeed powerful tools, their structure, the questions they asked, the methods they used and the choices made over the data to be tabulated, also determined what could be known. The paper will examine the growing criticism and debate over the large-scale survey. Many argued that smaller-scale studies were more effective in understanding the social and biological causes of intellectual differences, and better for identifying the benefits and dangers of using intelligence and merit as a means of organising society.

Chromosome surveys of human populations: between epidemiology and anthropology.

It is commonly held that after 1945 human genetics turned medical and focussed on the individual rather than on the study of human populations that had become discredited. However, a closer look at the research practices at the time quickly reveals that human population studies, using old and new tools, prospered in this period. The essay focuses on the rise of chromosome analysis as a new tool for the study of human populations. It reviews a broad array of population studies ranging from newborn screening programmes to studies of isolated or 'primitive' people. Throughout, it highlights the continuing role of concerns and opportunities raised by the propagation of atomic energy for civilian and military uses, the collection of large data bases and computers, and the role of international organisations like the World Health Organisation and the International Biological Programme in shaping research agendas and carving out a space for human heredity in the postwar era.

Fifty years' development and future perspectives of psychiatric register research.

OBJECTIVE: This article illustrates the development of psychiatric register research and discusses the strengths, limitations, and possible directions for future activities. METHOD: Examples illustrating the development from the post-World War II introduction of psychiatric register research until today are selected. RESULTS: The strengths of register research are seen especially within health service. Until recently, when starting linking registers to biobanks, register research had limited value in cause-seeking. Register research benefits from the possibilities for following identifiable persons over long time (lifelong) and the possibilities for linking to other registers and databases. Important limitations of register research are the heterogeneity and questionable validity of the clinical data collected. CONCLUSION: Future register research can go in the direction of big is beautiful collecting data from all possible sources creating giga-registers. In that case, low data quality will still be an unsolved problem. Or it can take the direction of smaller local clinical databases which has many advantages, for example, integrating clinical knowledge and experience into register research. However, in that case, registers will not be able to deal with rare conditions and diseases.