<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>In order to understand scientists’ incentives to form collaborative relations, we have conducted a study looking into academically relevant resources, which scientists contribute into collaborations with others. The data we describe in this paper are an egocentric dataset assembled by coding originally qualitative material. It is 40 multiplex ego networks containing data on individual attributes (such as gender, scientific degree), collaboration ties (including alter–alter ties), and resource flows. Resources are coded using a developed inventory of 25 types of academically relevant resources egos and alters contribute into their collaborations. We share the data with the research community with the hopes of enriching knowledge and tools for studying sociological and behavioral aspects of science as a social process.</p>
</abstract>

In order to understand scientists’ incentives to form collaborative relations, we have conducted a study looking into academically relevant resources, which scientists contribute into collaborations with others. The data we describe in this paper are an egocentric dataset assembled by coding originally qualitative material. It is 40 multiplex ego networks containing data on individual attributes (such as gender, scientific degree), collaboration ties (including alter–alter ties), and resource flows. Resources are coded using a developed inventory of 25 types of academically relevant resources egos and alters contribute into their collaborations. We share the data with the research community with the hopes of enriching knowledge and tools for studying sociological and behavioral aspects of science as a social process.

Academic Collaboration via Resource Contributions: An Egocentric Dataset

Connections

This work is licensed under the Creative Commons Attribution 4.0 International License.

running-head

In order to understand scientists’ incentives to form collaborative relations, we have conducted a study looking into academically relevant resources, which...

Gender	Degree	Alter	Ego
Female	Full professor	20	3
Female	habilitated PhD	11	5
Female	MA	19	3
Female	PhD	57	7
Male	Full professor	87	8
Male	habilitated PhD	23	4
Male	MA	28	1
Male	PhD	63	9
–	MA	3	–
–	PhD	1	–
–	–	22	–

Academic Collaboration via Resource Contributions: An Egocentric Dataset

Pubblicato online: 28 feb 2020

Pagine: 1 - 6

DOI: https://doi.org/10.21307/connections-2019-010

Parole chiave
Collaboration networks, Resources, Sociology of science, Ego networks

© 2020 Michal Bojanowski et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1:

Figure 2:

Figure 3:

Frequencies of gender and scientific degree for egos and alters. Symbol ‘–’(dash) corresponds to missing data.

Academic Collaboration via Resource Contributions: An Egocentric Dataset

Pubblicato online: 28 feb 2020

Pagine: 1 - 6

DOI: https://doi.org/10.21307/connections-2019-010

Parole chiaveCollaboration networks, Resources, Sociology of science, Ego networks

© 2020 Michal Bojanowski et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Figure 1:

Figure 2:

Figure 3:

Frequencies of gender and scientific degree for egos and alters. Symbol ‘–’(dash) corresponds to missing data.

Parole chiave
Collaboration networks, Resources, Sociology of science, Ego networks