10.5281/zenodo.4275642
https://zenodo.org/records/4275642
oai:zenodo.org:4275642
Wciślik, Piotr
Piotr
Wciślik
0000-0003-0671-3565
Instytut Badań Literackich PAN
Maryl, Maciej
Maciej
Maryl
0000-0002-2639-041X
Instytut Badań Literackich PAN
Vienni Baptista, Bianca
Bianca
Vienni Baptista
0000-0003-1282-4288
ETH Zurich
Schriber, Lucien
Lucien
Schriber
ETH Zurich
SHAPE-ID Literature Review query strings for Web of Science and Scopus
Zenodo
2020
interdisciplinarity
transdisciplinarity
interdisciplinary research
transdisciplinary research
integration
understandings
arts
humanities
social sciences
AHSS
SSH
Sabine Hoffmann
Sabine Hoffmann
Swiss Federal Institute of Aquatic Science and Technology (EAWAG)
2020-09-17
eng
10.5281/zenodo.3760417
10.5281/zenodo.4034332
https://zenodo.org/communities/chc
https://zenodo.org/communities/shape-id
https://zenodo.org/communities/eu
Creative Commons Attribution 4.0 International
Background and methodology:
The document contains query strings which were used to generate bibliographic datasets in Scopus and Web of Science (WoS) databases for the qualitative and quantitative literature review in the framework of the SHAPE-ID project.
Given that WoS and Scopus offer homologous search and filtering functionalities, same method was used to query both databases. The method consisted in four steps, each consisting of defining constraints that enabled to filter-down the resources in order to arrive at an optimal data set.
STEP 1. First, we created the long list of literature. To do that, we combined project-relevant sets of keywords (Sets A-D) into doubles and triplets using proximity search operators in both databases and searching in title, abstract and keyword fields, according to the following schema:
DOUBLES: TRIPLETS:
B NEAR/1 A (B NEAR/3 C) NEAR/3 A
C NEAR/1 A (D NEAR/3 C) NEAR/3 A
D NEAR/1 A (B NEAR/3 D) NEAR/3 A
This method enabled us to query the databases in a more precise way, using key-phrases consisting of two interrelated words or “doubles” (e.g. “transdisciplinary approach”) , and three interrelated words or “triplets” (e.g. “interdisciplinary research policy ”), instead of keywords that can appear without specific interrelation (e.g. when using boolean operator AND instead of proximity operator, we would get results even if words “interdisciplinary”, “research” and “policy” appear in random places in the same abstract, title and keywords).
STEP 2. Next, within that long list, we looked (again in title, abstract and keywords) for items that either discuss understandings of interdisciplinarity and transdisciplinarity (keyword set E), or relate to factors or indicators of success or failure (sets E and G correlated through proximity search), according to the following schema:
E OR (F NEAR/1 G).
STEP 3. We further limited the dataset to only those items that have keywords from set A (interdisciplinarity and transdisciplinarity in different variants) in the title - considered as a marker of strong relationship to the subject matter.
STEP 4. Finally, we added the he following constraints:
Temporal scope: 1990-present
Document Language: English
Document Type: Articles, Books and Book Chapters, Editorials
Description of the file:
This is a text file containing keyword strings used to query WoS and Scopus databases.
European Commission
10.13039/501100000780
822705
Shaping Interdisciplinary Practices in Europe