The end of all niches: the future position of the academic librarian in a modern service industry

A (University) Library is a modern service industry which has to follow the rules of effectiveness, efficiency and productivity. Even academic librarians have to be integrated into the production process of ‘the supply of information’ in such a way that they can deliver optimal results on the basis of their qualifications. In the process, the classic occupational image of the subject indexing lone fighter has dramatically changed into that of a productive performance bearer with great skills in management, social competence and performance. This paper gives an overview of the historical development of the classic academic librarian and the current requirements for a modern information manager. The strictly contrastive approach makes clear what a quantum leap there is between the image of a classic academic librarian, and the modern requirements for an efficient academic employee in the production process of supplying information

'Getting out of the closet': Scientific authorship of literary fiction and knowledge transfer

Some scientists write literary fiction books in their spare time. If these books contain scientific knowledge, literary fiction becomes a mechanism of knowledge transfer. In this case, we could conceptualize literary fiction as non-formal knowledge transfer. We model knowledge transfer via literary fiction as a function of the type of scientist (academic or non-academic) and his/her scientific field. Academic scientists are those employed in academia and public research organizations whereas non-academic scientists are those with a scientific background employed in other sectors. We also distinguish between direct knowledge transfer (the book includes the scientist's research topics), indirect knowledge transfer (scientific authors talk about their research with cultural agents) and reverse knowledge transfer (cultural agents give scientists ideas for future research). Through mixed-methods research and a sample from Spain, we find that scientific authorship accounts for a considerable percentage of all literary fiction authorship. Academic scientists do not transfer knowledge directly so often as non-academic scientists, but the former engage into indirect and reverse transfer knowledge more often than the latter. Scientists from History stand out in direct knowledge transfer. We draw propositions about the role of the academic logic and scientific field on knowledge transfer via literary fiction. We advance some tentative conclusions regarding the consideration of scientific authorship of literary fiction as a valuable knowledge transfer mechanism.Comment: Paper published in Journal of Technology Transfe

BioMeT and algorithm challenges: A proposed digital standardized evaluation framework

Technology is advancing at an extraordinary rate. Continuous flows of novel data are being generated with the potential to revolutionize how we better identify, treat, manage, and prevent disease across therapeutic areas. However, lack of security of confidence in digital health technologies is hampering adoption, particularly for biometric monitoring technologies (BioMeTs) where frontline healthcare professionals are struggling to determine which BioMeTs are fit-for-purpose and in which context. Here, we discuss the challenges to adoption and offer pragmatic guidance regarding BioMeTs, cumulating in a proposed framework to advance their development and deployment in healthcare, health research, and health promotion. Furthermore, the framework proposes a process to establish an audit trail of BioMeTs (hardware and algorithms), to instill trust amongst multidisciplinary users

Evaluation of forensic DNA traces when propositions of interest relate to activities: analysis and discussion of recurrent concerns

When forensic scientists evaluate and report on the probative strength of single DNA traces, they commonly rely on only one number, expressing the rarity of the DNA profile in the population of interest. This is so because the focus is on propositions regarding the source of the recovered trace material, such as “the person of interest is the source of the crime stain.” In particular, when the alternative proposition is “an unknown person is the source of the crime stain,” one is directed to think about the rarity of the profile. However, in the era of DNA profiling technology capable of producing results from small quantities of trace material (i.e., non-visible staining) that is subject to easy and ubiquitous modes of transfer, the issue of source is becoming less central, to the point that it is often not contested. There is now a shift from the question “whose DNA is this?” to the question “how did it get there?” As a consequence, recipients of expert information are now very much in need of assistance with the evaluation of the meaning and probative strength of DNA profiling results when the competing propositions of interest refer to different activities. This need is widely demonstrated in day-to-day forensic practice and is also voiced in specialized literature. Yet many forensic scientists remain reluctant to assess their results given propositions that relate to different activities. Some scientists consider evaluations beyond the issue of source as being overly speculative, because of the lack of relevant data and knowledge regarding phenomena and mechanisms of transfer, persistence and background of DNA. Similarly, encouragements to deal with these activity issues, expressed in a recently released European guideline on evaluative reporting (Willis et al., 2015), which highlights the need for rethinking current practice, are sometimes viewed skeptically or are not considered feasible. In this discussion paper, we select and discuss recurrent skeptical views brought to our attention, as well as some of the alternative solutions that have been suggested. We will argue that the way forward is to address now, rather than later, the challenges associated with the evaluation of DNA results (from small quantities of trace material) in light of different activities to prevent them being misrepresented in court

Life Scientist Mobility from Academe to Industry: Does Academic Entrepreneurship Induce a Costly ?Brain Drain? on the Not-for-Profit Research Sector?

When academic researchers participate in commercialization using for-profit firms there is a potentially costly trade-off – their time and effort are diverted away from academic knowledge creation. This is a form of brain drain on the not-for-profit research sector which may reduce knowledge accumulation and adversely impact long-run economic growth. In this paper, we examine the economic significance of the brain drain phenomenon using scientist-level panel data. We identify life scientists who start or join for-profit firms using information from the Small Business Innovation Research (SBIR) program and analyze the research performance of these scientists relative to a control group of randomly selected research peers. Combining our statistical results with data on the number of university spin-offs in the U.S. from 1994 to 2004 we find the academic brain drain has a nontrivial impact on knowledge creation in the not-forprofit research sector. --

Social media: a guide for researchers

This guide has been produced by the International Centre for Guidance Studies, and aims to provide the information needed to make an informed decision about using social media and select from the vast range of tools that are available. One of the most important things that researchers do is to find, use and disseminate information, and social media offers a range of tools which can facilitate this. The guide discusses the use of social media for research and academic purposes and will not be examining the many other uses that social media is put to across society. Social media can change the way in which you undertake research, and can also open up new forms of communication and dissemination. It has the power to enable researchers to engage in a wide range of dissemination in a highly efficient way.Research Information Networ

Scientific Models of Human Health Risk Analysis in Legal and Policy Decisions

The quality of scientific predictions of risk in the courtroom and policy arena rests in large measure on how the two differences between normal practice and the legal/policy practice of science are reconciled. This article considers a variety of issues that arise in reconciling these differences, and the problems that remain with scientific estimates of risk when these are used in decisions