Open data, [open] access: linking data sharing and article sharing in the Earth Sciences

Teplitzky, Samantha

doi:10.7710/2162-3309.2150

Cited by 5 publications

(5 citation statements)

References 12 publications

(12 reference statements)

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“…They state, "There seems to be a stark contrast between the desire for openness of published results and the desire for openness of process and evidence." Within the context of a specific discipline, Teplitzky (2017) approached open access and data sharing from the opposite direction, looking at how many data sets in the Pangaea repository had corresponding journal articles available via open access. The author found that the incidence of publication in gold open access journals increased over time and many articles were available through more than one source.…”

Section: Literature Reviewmentioning

confidence: 99%

Agricultural Researchers' Attitudes Toward Open Access and Data Sharing

Williams¹,

Farrell

Kerby³

et al. 2019

ISTL

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This study involved a thorough examination of attitudes and opinions of agricultural researchers toward open access publishing and data sharing. Utilizing the results of the Ithaka S+R Agriculture Research Support Services project, we reanalyzed our institutional interview transcripts and synthesized information from the project's publicly available reports. For comparison, we also searched and coded scientific and library literature. Our findings reveal common attitudes related to open access publishing and data sharing and point to potential roles for libraries to help address common impediments, such as lack of trust, time, and money. Overall, this study provides disciplinary context that can inform how librarians approach agricultural researchers about open access publishing and data sharing.

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Section: Literature Reviewmentioning

confidence: 99%

Agricultural Researchers' Attitudes Toward Open Access and Data Sharing

Williams¹,

Farrell

Kerby³

et al. 2019

ISTL

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“…I searched the article DOI and if necessary, the article title and clicked the Easy Search Unpaywall link to see where it led. Similar to the study by Teplitzky (2017), I also looked for the articles in ResearchGate, an academic social media platform that facilitates research article sharing, whether the sharing is legal or infringes on copyright (McKenzie 2018). I searched the article title in the ResearchGate search box, and I only counted access if I could immediately download the article.…”

Section: Methodsmentioning

confidence: 99%

“…Of the limited literature linking open data and OA, a study by Teplitzky (2017) is particularly relevant. Focused on the earth sciences, Teplitzky (2017) investigated to what extent researchers who shared data via the Pangaea repository also made the related articles openly available. The percentage of articles linked to Pangaea datasets that were published in Gold/Full OA journals increased from 9.7% in 2010 to 30.9% in 2015.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Both articles (Castro et al 2017;Teplitzky 2017) also provide valuable background information and references for the issues surrounding open data and OA, and there is a wealth of literature focused on these issues separately. Common themes are often found across open data and data sharing studies, regardless of whether the research was conducted at an institutional, disciplinary, national, or international level (Bishoff and Johnston 2015;Herold 2015;Kim and Zhang 2015;Tenopir et al 2011); these common findings include variability in data sharing approaches and similarities in the barriers to, and motivations for, sharing data.…”

Section: Literature Reviewmentioning

confidence: 99%

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Open Data and Open Access Articles: Exploring Connections in the Life Sciences

Williams

2020

JeSLIB

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Objectives: This small-scale study explores the current state of connections between open data and open access (OA) articles in the life sciences. Methods: This study involved 44 openly available life sciences datasets from the Illinois Data Bank that had 45 related research articles. For each article, I gathered the OA status of the journal and the article on the publisher website and checked whether the article was openly available via Unpaywall and Research Gate. I also examined how and where the open data was included in the HTML and PDF versions of the related articles. Results: Of the 45 articles studied, less than half were published in Gold/Full OA journals, and while the remaining articles were published in Gold/Hybrid journals, none of them were OA. This study found that OA articles pointed to the Illinois Data Bank datasets similarly to all of the related articles, most commonly with a data availability statement containing a DOI. Conclusions: The findings indicate that Gold OA in hybrid journals does not appear to be a popular option, even for articles connected to open data, and this study emphasizes the importance of data repositories providing DOIs, since the related articles frequently used DOIs to point to the Illinois Data Bank datasets. This study also revealed concerns about free (not licensed OA) access to articles on publisher websites, which will be a significant topic for future research.

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“…credit card transactions, activities on the web, phone calls, widespread diseases, etc. Publishing and releasing such type of data can provide benefits to researchers and decision makers, owe to their flexibility and availability of detailed information (Teplitzky 2014). For example, healthcare organizations collect and analyze medical data for the discovery of new drugs and therapies (Rider and Chawla 2013).…”

Section: Introductionmentioning

confidence: 99%

Hybrid microaggregation for privacy preserving data mining

Abidi

Yahia

Perera

2018

J Ambient Intell Human Comput

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k-Anonymity by microaggregation is one of the most commonly used anonymization techniques. This success is owe to the achievement of a worth of interest tradeoff between information loss and identity disclosure risk. However, this method may have some drawbacks. On the disclosure limitation side, there is a lack of protection against attribute disclosure. On the data utility side, dealing with a real datasets is a challenging task to achieve. Indeed, the latter are characterized by their large number of attributes and the presence of noisy data, such that outliers or, even, data with missing values. Generating an anonymous individual data useful for data mining tasks, while decreasing the influence of noisy data is a compelling task to achieve. In this paper, we introduce a new microaggregation method, called HM-PFSOM, based on fuzzy possibilistic clustering. Our proposed method operates through an hybrid manner. This means that the anonymization process is applied per block of similar data. Thus, we can help to decrease the information loss during the anonymization process. The HM-PFSOM approach proposes to study the distribution of confidential attributes within each sub-dataset. Then, according to the latter distribution, the privacy parameter k is determined, in such a way to preserve the diversity of confidential attributes within the anonymized microdata. This allows to decrease the disclosure risk of confidential information.

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Open data, [open] access: linking data sharing and article sharing in the Earth Sciences

Cited by 5 publications

References 12 publications

Agricultural Researchers' Attitudes Toward Open Access and Data Sharing

Agricultural Researchers' Attitudes Toward Open Access and Data Sharing

Open Data and Open Access Articles: Exploring Connections in the Life Sciences

Hybrid microaggregation for privacy preserving data mining

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