10. Conclusion
It matters how the history of a scholarly domain is depicted. As Joseph Spear wrote in an analysis of another field:
The problem, of course, is that the outcome of this story has real and important implications for the distribution of organizational resources. If indeed every dean, every granting agency, and every department head “knows” that there has been a cognitive revolution […], then where does that leave the claims of those who do not identify themselves with cognitive psychology […]? There is much at stake in how the history of psychology [and information science] is told. (Spear, 2007, p. 377)13
In this paper, the history of information science is depicted from the subjective perspective of the author – in the more traditional way of scholarly history writing. But would it be better to have more “objective” descriptions such as, for example, the content analysis made by Tuomaala, Järvelin and Vakkari (2014) or the many bibliometric maps that have been produced of information science such as the recent study by Zhao and Strotmann (2014)?
I’ll argue that this is not the case. The main argument is that such studies provides very different maps of information science (compare, for example, Tuomaala, Järvelin and Vakkari, 2014, and Zhao and Strotmann, 2014). They provide very different pictures of information science because they are very vulnerable to which methods are used and which journals have been selected as the basis for an operational definition of information science. As formerly stated:
One issue that is particularly important in this respect is the selection of the documents on which the bibliometric maps are based. Imagine that we are going to create a map of LIS. As Åström (2002) showed, former maps, such as that of White and McCain (1998), seem to have a bias towards information science. In order to provide a better alternative, Åström also included more library-oriented journals in his study. However, there is no objective criterion for judging which documents best represent LIS, and any selected set of journals can always be shown to have a bias in some direction or another.
Both White and McCain (1998) and Åström (2002) were explicit about which journals they used in their studies. However, the claim put forward here is that they did not make explicit arguments for how the journals were selected in relation to their conception of the field. It is as if the authors’ view of what information science is and should be is considered “obvious” or of no consequence. As a result, their selection of journals is not based on arguments about which aspects of information science are being favored and which are being suppressed. (Hjørland, 2013a, p. 1322)
Tuomaala, Järvelin and Vakkari (2014) based their study on “a purposive selection … of core journals” with library and information science. However, to consider the full content of a given journal, such as Journal of the Association for Information Science and Technology (JASIST), a representation of a LIS is problematic, because, as demonstrated by Chua and Yang (2008), “Top authors [in JASIST] have grown in diversity from those being affiliated predominantly with library/information-related departments to include those from information systems management, information technology, business, and the humanities.” Therefore, bibliometric maps based on JASIST cannot simply be taken to represent the library/information field without further examination.
In spite of its claim to investigate “what approaches, research strategies, and methods have been applied during the span of time under review” Tuomaala, Järvelin and Vakkari (2014) can neither confirm nor disconfirm that a social and cultural turn is taking place in information science. Their methodology seems not fit to describe changes at the metatheoretical level.
We have seen that Saracevic distinguished two traditions of research in IR: a systems-centered tradition (in computer science) and a user-centered tradition (in information science). By not considering such distinctions Tuomaala, Järvelin and Vakkari (2014) is unable to illuminate whether important parts of IR-research has immigrated from LIS to computer science. We have a kind of hermeneutic circle: How can we identify a field by a set of journals, a set of departments, a set of scholars, etc., unless we already know the field? And how can we know the field unless we know its journals, its research institutions, and its leading scholars? The answer is that it requires an iterative process. And such arguments, I claim, shows that “subjective” histories of science like the one presented in this paper is a prerequisite for more quantitative studies.
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