scholarly journals We need the open artefact: Design Science as a pathway to Open Science in Information Systems research

2019 ◽  
Author(s):  
Cathal Doyle ◽  
Markus Luczak-Roesch ◽  
Abhinav Mittal

Design science research is facing some significant challenges such as how to make the knowledge and artefacts we create more accessible; exclusion from competitive funding schemes that require open practices; and a potential reproducibility crisis if scholars do not have access to everything needed to repeat past research. To help tackle these challenges we suggest that the community should strongly engage with open science, which has been growing in prominence in other fields in recent years. A review of current DSR literature suggests that re-searchers have not yet discussed how open science practices can be adopted with-in the field. Thus, we propose how the concepts of open science, namely open access, open data, open source, and open peer review, can be mapped to a DSR process model. Further, we identify an emerging concept, the open artefact, which provides an opportunity to make artefacts more accessible to practice and scholars. The aim of this paper is to stimulate a discussion amongst researchers about these open science practices in DSR, and whether it is a necessary step forward to keep the pace of the changing academic environment. ....................................................................................................................................................................This paper is a preprint of a paper accepted at DESRIST 2019 (https://desrist2019.org/).

2020 ◽  
Author(s):  
Cathal Doyle ◽  
Markus Luczak-Roesch ◽  
A Mittal

© 2019, Springer Nature Switzerland AG. Design science research (DSR) is facing some significant challenges such as how to make the knowledge and artefacts we create more accessible; exclusion from competitive funding schemes that require open practices; and a potential reproducibility crisis if scholars do not have access to everything needed to repeat past research. To help tackle these challenges we suggest that the community should strongly engage with open science, which has been growing in prominence in other fields in recent years. A review of current DSR literature suggests that researchers have not yet discussed how open science practices can be adopted within the field. Thus, we propose how the concepts of open science, namely open access, open data, open source, and open peer review, can be mapped to a DSR process model. Further, we identify an emerging concept, the open artefact, which provides an opportunity to make artefacts more accessible to practice and scholars. The aim of this paper is to stimulate a discussion amongst researchers about these open science practices in DSR, and whether it is a necessary step forward to keep the pace of the changing academic environment.


2020 ◽  
Author(s):  
Cathal Doyle ◽  
Markus Luczak-Roesch ◽  
A Mittal

© 2019, Springer Nature Switzerland AG. Design science research (DSR) is facing some significant challenges such as how to make the knowledge and artefacts we create more accessible; exclusion from competitive funding schemes that require open practices; and a potential reproducibility crisis if scholars do not have access to everything needed to repeat past research. To help tackle these challenges we suggest that the community should strongly engage with open science, which has been growing in prominence in other fields in recent years. A review of current DSR literature suggests that researchers have not yet discussed how open science practices can be adopted within the field. Thus, we propose how the concepts of open science, namely open access, open data, open source, and open peer review, can be mapped to a DSR process model. Further, we identify an emerging concept, the open artefact, which provides an opportunity to make artefacts more accessible to practice and scholars. The aim of this paper is to stimulate a discussion amongst researchers about these open science practices in DSR, and whether it is a necessary step forward to keep the pace of the changing academic environment.


2022 ◽  
Author(s):  
Cathal Doyle ◽  
Markus Luczak-Roesch ◽  
Tadhg Nagle ◽  
Yi-Te Chiu

2019 ◽  
Author(s):  
Cathal Doyle ◽  
Markus Luczak-Roesch

Registered reports (RR) are a part of open science where the aim is to improve the rigor of studies, while reducing publication biases, by encouraging researchers to preregister their study by first publishing their research idea, and study design to get feedback from peers before collecting and analysing their data. However, while these benefits could improve the rigor and reliability of DSR studies, there is no evidence of any research using RR, both from a conceptual perspective to understand RR in DSR, or using them to conduct DSR. To begin addressing this problem, this study provides such an understanding of RR from a DSR perspective, and identifies benefits to the discipline. The outcome is a method for creating RR for DSR projects which was built by implementing a RR for this very study where a problem is identified and a study design is outlined which can be viewed here: https://osf.io/9g5au. .....................................................................................................................................................This paper is a preprint of a paper accepted at HICSS 2020 (https://hicss.hawaii.edu/).


2021 ◽  
pp. 026839622110482
Author(s):  
Gerit Wagner ◽  
Roman Lukyanenko ◽  
Guy Paré

Artificial intelligence (AI) is beginning to transform traditional research practices in many areas. In this context, literature reviews stand out because they operate on large and rapidly growing volumes of documents, that is, partially structured (meta)data, and pervade almost every type of paper published in information systems research or related social science disciplines. To familiarize researchers with some of the recent trends in this area, we outline how AI can expedite individual steps of the literature review process. Considering that the use of AI in this context is in an early stage of development, we propose a comprehensive research agenda for AI-based literature reviews (AILRs) in our field. With this agenda, we would like to encourage design science research and a broader constructive discourse on shaping the future of AILRs in research.


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