Revisiting the Importance of Open Access, Open Source, and Open Standards for Libraries

Corrado, Edward M.

doi:10.1080/07317131.2021.1934312

Cited by 4 publications

(4 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Naudé [ 92 ] has pointed out some of the significant concerns regarding the adoption of AI in COVID-19 research, including data availability and its quality. Still, many studies do not ensure that the utilised code is open-source, which highly limits the reproducibility of their findings [ 93 , 94 ]. Therefore, we suggest sharing it so that you can react faster and more effectively from the perspective of the upcoming, similar breakdowns.…”

Section: Discussionmentioning

confidence: 99%

Artificial Intelligence for COVID-19 Detection in Medical Imaging—Diagnostic Measures and Wasting—A Systematic Umbrella Review

Jemioło

Storman

Orzechowski

2022

JCM

View full text Add to dashboard Cite

The COVID-19 pandemic has sparked a barrage of primary research and reviews. We investigated the publishing process, time and resource wasting, and assessed the methodological quality of the reviews on artificial intelligence techniques to diagnose COVID-19 in medical images. We searched nine databases from inception until 1 September 2020. Two independent reviewers did all steps of identification, extraction, and methodological credibility assessment of records. Out of 725 records, 22 reviews analysing 165 primary studies met the inclusion criteria. This review covers 174,277 participants in total, including 19,170 diagnosed with COVID-19. The methodological credibility of all eligible studies was rated as critically low: 95% of papers had significant flaws in reporting quality. On average, 7.24 (range: 0–45) new papers were included in each subsequent review, and 14% of studies did not include any new paper into consideration. Almost three-quarters of the studies included less than 10% of available studies. More than half of the reviews did not comment on the previously published reviews at all. Much wasting time and resources could be avoided if referring to previous reviews and following methodological guidelines. Such information chaos is alarming. It is high time to draw conclusions from what we experienced and prepare for future pandemics.

show abstract

Section: Discussionmentioning

confidence: 99%

Artificial Intelligence for COVID-19 Detection in Medical Imaging—Diagnostic Measures and Wasting—A Systematic Umbrella Review

Jemioło

Storman

Orzechowski

2022

JCM

View full text Add to dashboard Cite

show abstract

“…Another recent study, Corrado (2021), revisited his 2005 article titled “The Importance of Open Access, Open Source, and Open Standards for Libraries” (Corrado, 2005) to examine what had or had not changed in these open movements. With regard to OSS, Corrado (2021) pointed out that, although the general tenants of OSS have not changed much, technologies surrounding it have dramatically advanced. In addition, he added that because of the technological complexity, benefits, such as lower initial costs and easier code evaluation, may not be as easy as it used to be.…”

Section: Literature Reviewmentioning

confidence: 99%

“…In addition, he added that because of the technological complexity, benefits, such as lower initial costs and easier code evaluation, may not be as easy as it used to be. Corrado (2021) then concluded that, although the trajectory of OSS may have changed because of rapid innovations in technology, OSS is likely to continue to impact libraries. In his most recent annual international survey of library automation, Breeding (2022) reported that open source ILSs are a common choice across all types of library sectors, and the two major products, Koha and Evergreen, continue to show a growing level of satisfaction.…”

Section: Literature Reviewmentioning

confidence: 99%

“…classification scheme, most- or less-studied areas) for furthering the research. Almost 10 years have passed since Palmer and Choi (2014) was published, and there have been many rapid advances in technology since then that may have led to changes in the OSS environment in libraries (Corrado, 2021). Therefore, this study aims to update Palmer and Choi (2014) with studies published during the last decade, highlighting changes, when applicable, by comparing and contrasting its findings to those from Palmer and Choi (2014).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Revisiting and updating the state of library open source software research

Choi

2023

View full text Add to dashboard Cite

Purpose The purpose of this paper is to revisit and update Palmer and Choi (2014), which conducted a descriptive literature review on open source software (OSS) studies published by the end of February 2013 in the library context. Design/methodology/approach The same article search and filtering procedures used in Palmer and Choi (2014) were used, resulting in a total sample size of 105 articles. These articles were then examined based on the same six variables (i.e. publication year, publication outlet, software type, article type, library type and article topic) from Palmer and Choi (2014) along with two new variables (i.e., study country and prolific authors). Findings The volume of research articles was found to be in a downwards trend since 2010. As suggested by Palmer and Choi (2014), survey research increased and was found to be the second most popular article type. Regarding library types, the proportion of articles in the context of academic and research libraries was found to have expanded even further. As to article topics, perceptions, which investigates users’ (or non-users’) various perceptions towards OSS, was newly added and was ranked fourth. Given the maturity of the research stream, two new variables (i.e., study country and prolific authors) were examined, and the findings from analyzing them are also presented. Originality/value By examining library OSS articles published between March 2013 and February 2022, this study uncovers changes and developments in the research since Palmer and Choi (2014), which provides a picture of where the research stands now with several updated and new implications.

show abstract

Proprietary and Open Source Software Systems in Libraries: A Few Considerations

Corrado

2023

Technical Services Quarterly

View full text Add to dashboard Cite

Revisiting the Importance of Open Access, Open Source, and Open Standards for Libraries

Cited by 4 publications

References 9 publications

Artificial Intelligence for COVID-19 Detection in Medical Imaging—Diagnostic Measures and Wasting—A Systematic Umbrella Review

Artificial Intelligence for COVID-19 Detection in Medical Imaging—Diagnostic Measures and Wasting—A Systematic Umbrella Review

Revisiting and updating the state of library open source software research

Proprietary and Open Source Software Systems in Libraries: A Few Considerations

Contact Info

Product

Resources

About