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<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...

Academic Collaboration via Resource Contributions: An Egocentric Dataset

Publicado en línea: 28 feb 2020

Páginas: 1 - 6

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

Palabras clave
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.

Academic Collaboration via Resource Contributions: An Egocentric Dataset

Publicado en línea: 28 feb 2020

Páginas: 1 - 6

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

Palabras claveCollaboration 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.

Palabras clave
Collaboration networks, Resources, Sociology of science, Ego networks