Making data meaningful: guidelines for good quality open data

Towse, Andrea; Ellis, David; Towse, John N.

doi:10.1080/00224545.2021.1938811

Cited by 13 publications

(10 citation statements)

References 27 publications

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“…Transparency in psychological research typically refers to how clear and forthright the authors have been when describing methods, sharing data, and summarizing analysis techniques (Towse et al 2021a). Enhancing research integrity is a core goal of the open science movement, however, sharing data can afford risks to participant privacy.…”

Section: Transparent Digital Methodologies: Essential To Research Int...mentioning

confidence: 99%

The DECIDE Framework: Describing Ethical Choices in Digital-Behavioral-Data Explorations

Shaw¹,

Brown²,

Hinds³

et al. 2023

Preprint

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The development and application of digital technologies across psychological science are now a regular occurrence. Here, we outline how emerging issues have resulted in new ethical challenges for researchers and ethical review boards. Ethics in digital research can often be characterized as reactionary, with little consistency between studies. Not only does this put participants and researchers at risk of harm in the short term, but it may limit future opportunities if access to data is restricted. In response, we review existing ethical practices and examine gaps in resources for psychologists who engage with digital technologies. In doing so, we discuss four example dilemmas that researchers might face when working with digital data. We also present the DECIDE toolkit, which students, researchers, and ethics review boards can use to help navigate these dilemmas. Specifically, the DECIDE toolkit (i) outlines key ethical questions for psychologists to consider when engaging in digital research and (ii) offers internal review boards guidance when assessing the ethics of research adopting digital technologies and data. This approach will help psychological science continue to prosper in this area while avoiding common pitfalls.

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Section: Transparent Digital Methodologies: Essential To Research Int...mentioning

confidence: 99%

The DECIDE Framework: Describing Ethical Choices in Digital-Behavioral-Data Explorations

Shaw¹,

Brown²,

Hinds³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…There are several recommendations and resources available, with the FAIR Guidelines providing principled recommendations that data are findable, accessible, interoperable, and reusable in the long term (Wilkinson et al, 2016). Towse et al (2021) have provided specific recommendations and resources for each of these guidelines including a checklist (see also the Open Scholarship Knowledge Base, n.d.). SPARC (Scholarly Publishing and Academic Resources Coalition), an organization that promotes open and equitable systems for research, provides policy (SPARC, n.d.) and resources, including a Data Management Plan tool (https://dmptool.org/plans).…”

Section: Open Data Challengesmentioning

confidence: 99%

“…Towse et al. (2021) have provided specific recommendations and resources for each of these guidelines including a checklist (see also the Open Scholarship Knowledge Base, n.d.). SPARC (Scholarly Publishing and Academic Resources Coalition), an organization that promotes open and equitable systems for research, provides policy (SPARC, n.d.) and resources, including a Data Management Plan tool (https://dmptool.org/plans).…”

Section: The Challenges Of Some Key Open Research Practices and How T...mentioning

confidence: 99%

(Why) Are Open Research Practices the Future for the Study of Language Learning?

Marsden

Morgan‐Short²

2023

Language Learning

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Open research practices are relevant to all stages of research, from conceptualization through dissemination. Here, we discuss key facets of open research, highlighting its rationales, infrastructures, behaviors, and challenges. Part I conceptualizes open research and its rationales. Part II identifies challenges such as the speed and cost of open research, the usability of open data and materials, the difficulties of conducting replication research, and the economics and sustainability of open access and open research generally. In discussing these challenges, we have sought to provide examples of good practice, describe and evaluate emerging innovations, and envision change. Part III considers ongoing coevolutions of culture, infrastructure, and behaviors and acknowledges the limitations of our review and of open research practices. We argue that open research is indeed a large part of our future, and most—if not all—challenges are surmountable, but doing so requires significant changes for many aspects of the research process.

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“…There are several recommendations and resources available, with the FAIR guidelines providing principled recommendations that data are findable, accessible, interoperable, and reusable in the long term (Wilkinson et al 2016). Towse et al (2021) provide specific recommendations and resources for each of these guidelines including a checklist (see also the Open Scholarship Knowledge Base, n.d.).…”

Section: Envisioning Ways Forward For Open Datamentioning

confidence: 99%

(Why) Are Open Research Practices the Future for the Study of Language Learning?

Marsden¹,

Morgan‐Short²

2023

Preprint

View full text Add to dashboard Cite

Open Research practices are relevant to all stages of research, from conceptualisation through to dissemination. Here, we discuss key facets of Open Research, highlighting its rationales, infrastructures, behaviours, and challenges. Part I conceptualizes Open Research and its rationales. Part II identifies challenges, such as the speed and cost of Open Research; the usability of open data and materials; the difficulties of conducting replication research; and the economics and sustainability of open access and Open Research generally. In discussing these challenges, we seek to provide examples of good practice, describe and evaluate emerging innovations, and envision change. Part III considers ongoing co-evolutions of culture, infrastructure, and behaviours, and acknowledges the limitations of our review and of Open Research practices. We argue that Open Research is indeed a large part of our future, and most—if not all—challenges are surmountable, but doing so requires significant changes for many aspects of the research process.

show abstract

Making data meaningful: guidelines for good quality open data

Cited by 13 publications

References 27 publications

The DECIDE Framework: Describing Ethical Choices in Digital-Behavioral-Data Explorations

The DECIDE Framework: Describing Ethical Choices in Digital-Behavioral-Data Explorations

(Why) Are Open Research Practices the Future for the Study of Language Learning?

(Why) Are Open Research Practices the Future for the Study of Language Learning?

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