Research data sharing in the Australian national science agency: Understanding the relative importance of organisational, disciplinary and domain-specific influences

Mason, Claire M.; Box, Paul; Burns, Shanae M.

doi:10.1371/journal.pone.0238071

Cited by 7 publications

(6 citation statements)

References 40 publications

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“…Social Sciences Survey (481), interviews (234), observations (113), qualitative (98), transcripts (52), quantitative (44), audio (38), video (36), recordings (34), experimental (34) Arts and Humanities Survey (60), observations (43), texts (37), images (33), interviews (33), video (28), audio (26), qualitative (24), literary (23), historical (22) Business and Economics Survey (345), secondary (83), interviews (67), observations (31), qualitative (26), experimental (18), financial (16), quantitative (16), economic (15), time series (14) Environmental Sciences Survey (105), samples (54), observations (48), water (35), field data (30), experimental (29), measurements (23), images (22), soil (22), species (19) Earth & Planetary Sciences Models (40), Observations (32), Samples (25), Survey (25), Measurements (24), Water (17), Field data (16), Numerical (16), Chemical (15), Temperature (12) Biomedical Sciences Survey (45), images (32), behavioral…”

Section: Data Availability Statementmentioning

confidence: 99%

Data sharing and reuse practices: disciplinary differences and improvements needed

Khan

Thelwall

Kousha

2023

OIR

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PurposeThis study investigates differences and commonalities in data production, sharing and reuse across the widest range of disciplines yet and identifies types of improvements needed to promote data sharing and reuse.Design/methodology/approachThe first authors of randomly selected publications from 2018 to 2019 in 20 Scopus disciplines were surveyed for their beliefs and experiences about data sharing and reuse.FindingsFrom the 3,257 survey responses, data sharing and reuse are still increasing but not ubiquitous in any subject area and are more common among experienced researchers. Researchers with previous data reuse experience were more likely to share data than others. Types of data produced and systematic online data sharing varied substantially between subject areas. Although the use of institutional and journal-supported repositories for sharing data is increasing, personal websites are still frequently used. Combining multiple existing datasets to answer new research questions was the most common use. Proper documentation, openness and information on the usability of data continue to be important when searching for existing datasets. However, researchers in most disciplines struggled to find datasets to reuse. Researchers' feedback suggested 23 recommendations to promote data sharing and reuse, including improved data access and usability, formal data citations, new search features and cultural and policy-related disciplinary changes to increase awareness and acceptance.Originality/valueThis study is the first to explore data sharing and reuse practices across the full range of academic discipline types. It expands and updates previous data sharing surveys and suggests new areas of improvement in terms of policy, guidance and training programs.Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-08-2021-0423.

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Section: Data Availability Statementmentioning

confidence: 99%

Data sharing and reuse practices: disciplinary differences and improvements needed

Khan

Thelwall

Kousha

2023

OIR

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“…As a result, their motivation level is low and their performance is correspondingly reduced. According to Mason et al (2020), employees perform well when they are provided with external financial rewards. Therefore, a high level of involvement within an organisational culture does not necessarily prove to be a positive influence on organisational performance.…”

Section: Discussionmentioning

confidence: 99%

“…Along with this, it is also argued that extent of organisational culture effectiveness depends on geographical location of the firm, too. Mason et al (2020) examined the relationship between organisational culture and business performance in terms of geographical location. They found that a high degree of involvement resulted in enhancing the effectiveness of organisational culture and improved performance in the context of firms operating in Thailand.…”

Section: Theoretical Framework and Hypothesesmentioning

confidence: 99%

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The effect of organisational culture on organisational performance: the mediating role of intrapreneurship

Kiziloglu

2022

The Irish Journal of Management

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The aim of this research is to examine the effect of organisational culture on organisational performance in the context of the hospitality industry in the UK. Organisational culture was studied based on the Denison model. The study was conducted based on a quantitative research method and primary data was collected, with questionnaires, from 440 employees in the hospitality industry. The study reveals that organisational culture significantly affects organisational performance. Moreover, it is found that adaptability and mission are two key elements of organisational culture that significantly affect organisational performance. Furthermore, intrapreneurship fully mediates the relationship between adaptability and organisational performance. In addition, intrapreneurship fully mediates the relationship between mission and organisational performance. Hence, managers working in the hospitality industry are required to give considerable attention to adaptability and mission as two important elements of organisational culture in order to achieve intrapreneurship, and to ultimately improve the performance of an organisation.

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“…Therefore, those policy play important roles to ensure the rigorous of research through evaluate the methodology by using the dataset (Read et al, 2021). Research related to data sharing in the context of institutional policies through involving all stakeholders within the research ecosystem needs to be carried out as recommended from previous research in order to find the most optimum for data sharing governance (Mason et al, 2020;Zenk-Möltgen et al, 2018). The success in implementing the data sharing policy is a collective work among the stakeholders, both funding agency, researchers as the main actors in research activities, and research institutions that provide infrastructure and data services in the practice of sharing research data.…”

Section: Previous Findingsmentioning

confidence: 99%

National Data Sharing Policy in the Era of Open Science: A Systematic Literature Review

Trianggoro¹,

Tupan²

2021

kah

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Research data sharing activities provide many benefits to the research ecosystem. However, in the Indonesian context, there is a lack of policy in regulating research data sharing mechanisms which makes researchers reluctant to undertake the practice of data sharing. Research funders and research institutions play a critical role in developing data-sharing policies. Research related to the policy of research data sharing is important in order to design policies to encourage the practice of research data sharing. A systematic literature review was conducted to see how data-sharing policies were formulated and implemented in various research institutions. The data were taken from Scopus and Dimension indexers using controlled vocabulary. The roles of research institutions and funders as well as policy instruments were analyzed to see patterns that occur between the parties. We examine 23 articles containing data sharing policies. it was found that the funders have the greatest role in determining the design of the data sharing policy. Funders view that research data is an asset in research funded by public funding so that the benefits must be returned to the community. Research institutes play a role as a provider of research infrastructure that contributes to data creation. Meanwhile, researchers as research actors need to provide input in developing data sharing mechanisms and regulating data sensitivity aspects and legal aspects in research data sharing.

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Research data sharing in the Australian national science agency: Understanding the relative importance of organisational, disciplinary and domain-specific influences

Cited by 7 publications

References 40 publications

Data sharing and reuse practices: disciplinary differences and improvements needed

Data sharing and reuse practices: disciplinary differences and improvements needed

The effect of organisational culture on organisational performance: the mediating role of intrapreneurship

National Data Sharing Policy in the Era of Open Science: A Systematic Literature Review

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