194 L. M. Dybdahl and E. J. Iversen
refer to as the ‘organisational capital’ dimension of the knowledge creation
process, is recognised as being important in formative fields (see Bozeman and
others in the discussion of different U- I partnerships to promote specific
research agendas). We are particularly interested in the profile of entities that
are involved in research and innovation activities on this front, in terms of the
spread between sectors (HEI, PROs and the private sector) and the international dimension. The second level explores ‘the human capital’ dimension
of the bioeconomy by delving into the CVs of participating researchers to
understand the educational backgrounds and the positions that are involved in
this research and innovative activity: is it from one scientific area or several?;
is it domestic or foreign?, etc.
10.3.1 CVs as an analytic lens
Although the use of CV data is not new, it constitutes an innovative (and
labour- intensive) approach which deserves special comment. CVs are rich
data sources of longitudinal information about a person’s career (Bozeman,
Dietz & Gaughan, 2001). Researchers include in their CVs information about
their educational backgrounds, their current positions and their publications.
Gläser (2001, p. 698) argues that research careers are ‘theoretically and practically important because they link individuals with institutions as well as social
structures with knowledge production’. CVs of researchers include information about who they have collaborated with (identified as either co- authors
or research collectives). Consequently, it is possible to use CVs to map
researchers’ networks in addition to their scholarly disciplines, affiliations and
various work experience.
The use of CVs in research has become more and more prevalent since the
1990s, although its growth is still hampered by the availability of CVs and,
moreover, the lack of tools to automate their analysis (Geuna et al., 2015).
Cañibano and Bozeman (2009) point out that the use of this unique data
source is primarily found in the research evaluation sphere where its use has
shifted over time from a focus on output (in terms of publication) based on
specific inputs (e.g. to evaluate the success of education and research policies)
to include a greater focus on capacities (i.e. the ability to develop relevant
competences). They indicate that CV- studies have generally focused on one
of three topics: career trajectories, mobility and mapping of collective capacity (Cañibano & Bozeman, 2009).
In the literature, notable themes include mobility and research performance (Cañibano, Otamendi & Andújar, 2008), commercial activity (e.g. Dietz
& Bozeman, 2005; Lin & Bozeman, 2006), collaboration and productivity
(Lee & Bozeman, 2005) and career transitions (e.g. Mangematin, 2000). A
relevant approach is suggested by Lepori and Probst (2009), who used CVs to
understand the structure and dynamics of a scientific field which is characterised by conceptual, theoretical and methodological pluralism. They argue that
CVs offer an easier and quicker way to look at such a community than a
refer to as the ‘organisational capital’ dimension of the knowledge creation
process, is recognised as being important in formative fields (see Bozeman and
others in the discussion of different U- I partnerships to promote specific
research agendas). We are particularly interested in the profile of entities that
are involved in research and innovation activities on this front, in terms of the
spread between sectors (HEI, PROs and the private sector) and the international dimension. The second level explores ‘the human capital’ dimension
of the bioeconomy by delving into the CVs of participating researchers to
understand the educational backgrounds and the positions that are involved in
this research and innovative activity: is it from one scientific area or several?;
is it domestic or foreign?, etc.
10.3.1 CVs as an analytic lens
Although the use of CV data is not new, it constitutes an innovative (and
labour- intensive) approach which deserves special comment. CVs are rich
data sources of longitudinal information about a person’s career (Bozeman,
Dietz & Gaughan, 2001). Researchers include in their CVs information about
their educational backgrounds, their current positions and their publications.
Gläser (2001, p. 698) argues that research careers are ‘theoretically and practically important because they link individuals with institutions as well as social
structures with knowledge production’. CVs of researchers include information about who they have collaborated with (identified as either co- authors
or research collectives). Consequently, it is possible to use CVs to map
researchers’ networks in addition to their scholarly disciplines, affiliations and
various work experience.
The use of CVs in research has become more and more prevalent since the
1990s, although its growth is still hampered by the availability of CVs and,
moreover, the lack of tools to automate their analysis (Geuna et al., 2015).
Cañibano and Bozeman (2009) point out that the use of this unique data
source is primarily found in the research evaluation sphere where its use has
shifted over time from a focus on output (in terms of publication) based on
specific inputs (e.g. to evaluate the success of education and research policies)
to include a greater focus on capacities (i.e. the ability to develop relevant
competences). They indicate that CV- studies have generally focused on one
of three topics: career trajectories, mobility and mapping of collective capacity (Cañibano & Bozeman, 2009).
In the literature, notable themes include mobility and research performance (Cañibano, Otamendi & Andújar, 2008), commercial activity (e.g. Dietz
& Bozeman, 2005; Lin & Bozeman, 2006), collaboration and productivity
(Lee & Bozeman, 2005) and career transitions (e.g. Mangematin, 2000). A
relevant approach is suggested by Lepori and Probst (2009), who used CVs to
understand the structure and dynamics of a scientific field which is characterised by conceptual, theoretical and methodological pluralism. They argue that
CVs offer an easier and quicker way to look at such a community than a