No abstract

Although a number of texts explore social research strategies and methods, most are limited to a basic discussion of such methods and their associated advantages and disadvantages. Few if any, evaluate and compare methods in the context of actual research experiences. This paper endeavours to bridge that gap by reporting the experiences of three researchers working on three separate qualitative studies. All three studies were concerned with investigating the social milieu within organizations. While the research questions were different in each case, all the researchers shared a common goal - to develop explanations for complex social phenomena manifest both internally and externally to each organization. The research strategies, methods and data analyses employed are assessed through the personal evaluations of the researchers. Thus, a singular opportunity is offered for other researchers to benefit from the practical insights and lessons learned. The collective experiences of all three researchers suggest that the contextual conditions and constraints of each study force certain compromises, but which importantly, do not compromise qualitative research studies.

Estrus detection has become more difficult over the years due to decreases in the estrus expression of high-producing dairy cows, and increased herd sizes and animal density. Through the use of hormonal synchronization protocols, also known as timed artificial insemination (TAI) protocols, it is possible to alleviate some of the challenges associated with estrus detection. However, TAI masks cows' fertility performance, resulting in an unfair comparison of treated animals and innately fertile animals. Consequently, genetically inferior and superior cows show similar phenotypes, making it difficult to distinguish between them. As genetic programs rely on the collection of accurate phenotypic data, phenotypes collected on treated animals likely add bias to genetic evaluations. In this study, to assess the effect of TAI, the rank correlation of bulls for a given trait using only TAI records were compared with the same trait using only heat detection records. A total of 270,434 records from 192,539 animals split across heifers, first and second parity cows were analyzed for the traits: calving to first service, first service to conception, and days open. Results showed large reranking across all traits and parities between bulls compared based on either having only TAI records or only heat detection records, suggesting that a bias does indeed exist. Large reranking was also observed for both the heat detection and TAI groups among the top 100 bulls in the control group, which included all records. Furthermore, breeding method was added to the model to assess its effect on bull ranking. However, there were only minor changes in the rank correlations between scenario groups. Therefore, more complex methods to account for the apparent bias created by TAI should be investigated; for this, the method by which these data are collected needs to be improved through creating a standardized way of recording breeding codes. Though the results of this study suggest the presence of bias within current fertility evaluations, additional research is required to confirm the findings of this study, including looking at high-reliability bulls specifically, to determine if the levels of reranking remain. Future studies should also aim to understand the potential genetic differences between the fertility traits split via management technology, possibly in a multiple-trait analysis.

Review of public funding of health research, the article seeks to identify areas where NHS library and information staff can become involved in supporting the research process. Methods: The authors examined the challenges and opportunities that these reports offer and looked at two areas where library and information services (LIS) staff can potentially expand their services-supporting researchers at every stage of the research process and transferring research into practice. Results: Staff in NHS libraries need to create an environment in which their role in the research process is recognized and valued. LIS staff can develop roles within the research process and thereby improve the robustness and validity of research outputs. Training and development of LIS staff is a key priority and can be taken forward despite the limitations of budgets and staffing levels. Conclusions: A proactive and assertive approach is needed to achieve a cultural shift within NHS library practice from supporting research from the outside, to being fully integrated within the research process.

Dairy farmers are motivated to ensure cows become pregnant in an optimal and timely manner. Although timed artificial insemination (TAI) is a successful management tool in dairy cattle, it masks an animal's innate fertility performance, likely reducing the accuracy of genetic evaluations for fertility traits. Therefore, separating fertility traits based on the recorded management technique involved in the breeding process or adding the breeding protocol as an effect to the model can be viable approaches to address the potential bias caused by such management decisions. Nevertheless, there is a lack of specificity and uniformity in the recording of breeding protocol descriptions by dairy farmers. Therefore, this study investigated the use of 8 supervised machine learning algorithms to classify 1,835 unique breeding protocol descriptions from 981 herds into the following 2 classes: TAI or other than TAI. Our results showed that models that used a stacking classifier algorithm had the highest Matthews correlation coefficient (0.94 ± 0.04, mean ± SD) and maximized precision and recall (F1-score = 0.96 ± 0.03) on test data. Nonetheless, their F1-scores on test data were not different from 5 out of the other 7 algorithms considered. Altogether, results presented herein suggest machine learning algorithms can be used to produce robust models that correctly identify TAI protocols from dairy cattle breeding records, thus opening the opportunity for unbiased genetic evaluation of animals based on their natural fertility.