| Title |
Research design: the methodology for interdisciplinary research framework
|
|---|---|
| Published in |
Quality & Quantity, April 2017
|
| DOI | 10.1007/s11135-017-0513-8 |
| Pubmed ID | |
| Authors |
Hilde Tobi, Jarl K. Kampen |
| Abstract |
Many of today's global scientific challenges require the joint involvement of researchers from different disciplinary backgrounds (social sciences, environmental sciences, climatology, medicine, etc.). Such interdisciplinary research teams face many challenges resulting from differences in training and scientific culture. Interdisciplinary education programs are required to train truly interdisciplinary scientists with respect to the critical factor skills and competences. For that purpose this paper presents the Methodology for Interdisciplinary Research (MIR) framework. The MIR framework was developed to help cross disciplinary borders, especially those between the natural sciences and the social sciences. The framework has been specifically constructed to facilitate the design of interdisciplinary scientific research, and can be applied in an educational program, as a reference for monitoring the phases of interdisciplinary research, and as a tool to design such research in a process approach. It is suitable for research projects of different sizes and levels of complexity, and it allows for a range of methods' combinations (case study, mixed methods, etc.). The different phases of designing interdisciplinary research in the MIR framework are described and illustrated by real-life applications in teaching and research. We further discuss the framework's utility in research design in landscape architecture, mixed methods research, and provide an outlook to the framework's potential in inclusive interdisciplinary research, and last but not least, research integrity. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 33% |
| United Kingdom | 1 | 33% |
| Saudi Arabia | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,323 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | <1% |
| Unknown | 1322 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 183 | 14% |
| Student > Ph. D. Student | 170 | 13% |
| Student > Bachelor | 79 | 6% |
| Researcher | 72 | 5% |
| Student > Doctoral Student | 67 | 5% |
| Other | 198 | 15% |
| Unknown | 554 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 138 | 10% |
| Business, Management and Accounting | 130 | 10% |
| Arts and Humanities | 60 | 5% |
| Computer Science | 55 | 4% |
| Engineering | 54 | 4% |
| Other | 299 | 23% |
| Unknown | 587 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 January 2022.
All research outputs
#5,629,250
of 25,998,826 outputs
Outputs from Quality & Quantity
#129
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Outputs of similar age
#89,948
of 327,511 outputs
Outputs of similar age from Quality & Quantity
#2
of 10 outputs
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