Dataset Open Access

Citizen Science in the Social Sciences and Humanities

Loreta Tauginienė; Eglė Butkevičienė; Katrin Vohland; Barbara Heinisch; Maria Daskolia; Monika Suškevičs; Manuel Portela; Bálint Balázs; Baiba Prūse

The aim of the study was to develop a more integrated understanding of the extent and ways the social sciences and humanities (SSH) are represented and dealt with in current citizen science (CS) practice. To achieve this, a meta-synthesis methodology was adopted to identify and examine all related cases reported in the research literature. 

Five research questions were formulated as follows:

1) What methodological approaches and roles of citizens are used by CS projects and activities claiming to pertain to SSH?

2) What disciplinary fields within SSH do these CS projects encompass and what do diverse interdisciplinary synergies piece together?

3) What are the SSH topics that have engrossed or attracted most of the interest in CS practice so far?

4) What purposes are defined to incorporate SSH in CS projects? and

5) What are the benefits of citizen-generated data? 

To select relevant papers two of the largest databases were opted: a) Clarivate Analytics Core Collection (Science Citation Index Expanded, Social Science Citation Index, Arts & Humanities Citation Index, Conference Proceeding Citation Index - Science Edition & Social Science & Humanities Edition), and b) EBSCOhost research databases.

A combination of two keywords only was used as subject terms/topics (e.g. citizen science AND social sciences > TS=(citizen AND science) AND TS=(natural AND sciences)).

Search results were retrieved twice, in October 2018 and in January 2019. At the pre-identification stage, 2763 records were retrieved. At the identification stage, 1244 full-text papers were included in the sample. At the screening stage, 344 full-text papers in English, Spanish and French were identified and submitted to a preliminary meta-synthesis. In total, 62 papers were selected for being relevant and providing most of the data needed.

This dataset is based upon work from COST Action CA 15212 Citizen Science to promote creativity, scientific literacy, and innovation throughout Europe supported by COST (European Cooperation in Science and Technology).
Files (140.6 kB)
Name Size
RQ1_methodological approaches and roles of citizens.xlsx
38.0 kB Download
RQ2_disciplinary fields within SSH_interdisciplinary synergies.xlsx
20.4 kB Download
RQ3_topics that have engrossed or attracted most of the interest of CS.xlsx
28.6 kB Download
RQ4_purposes defined to incorporate SSH in CS.xlsx
25.8 kB Download
RQ5_benefits of citizen-generated data.xlsx
27.8 kB Download
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