Retraction Notices: Who Authored Them?

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Authors : Shaoxiong Brian Xu, Guangwei Hu

Unlike other academic publications whose authorship is eagerly claimed, the provenance of retraction notices (RNs) is often obscured presumably because the retraction of published research is associated with undesirable behavior and consequently carries negative consequences for the individuals involved.

The ambiguity of authorship, however, has serious ethical ramifications and creates methodological problems for research on RNs that requires clear authorship attribution. This article reports a study conducted to identify RN textual features that can be used to disambiguate obscured authorship, ascertain the extent of authorship evasion in RNs from two disciplinary clusters, and determine if the disciplines varied in the distributions of different types of RN authorship.

Drawing on a corpus of 370 RNs archived in the Web of Science for the hard discipline of Cell Biology and the soft disciplines of Business, Finance, and Management, this study has identified 25 types of textual markers that can be used to disambiguate authorship, and revealed that only 25.68% of the RNs could be unambiguously attributed to authors of the retracted articles alone or jointly and that authorship could not be determined for 28.92% of the RNs.

Furthermore, the study has found marked disciplinary differences in the different categories of RN authorship. These results point to the need for more explicit editorial requirements about RN authorship and their strict enforcement.

URL : Retraction Notices: Who Authored Them?

Alternative location : http://www.mdpi.com/2304-6775/6/1/2

Advancing Scientific Knowledge: Ethical Issues in the Journal Publication Process

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Author : Richard H. McCuen

The goal of this paper is to assess the journal publication process from value and ethical perspectives.

The specific objectives are: (1) To define fundamental values relevant to scientific journal publication; (2) To identify stakeholders involved in professional journals and their value rights and responsibilities; (3) To discuss the steps of the journal publication process where ethical dilemmas arise and the potential influences of such dilemmas on the advancement of knowledge; and (4) To summarize actions that can minimize unethical practices throughout the steps of the publication process.

Values such as honesty, efficiency, accountability, and fairness will be discussed. Issues related to the various stakeholders such as self-citation, plagiarism, dual publication, a lack of timeliness, and issues related to authorship will be a primary focus.

URL : Advancing Scientific Knowledge: Ethical Issues in the Journal Publication Process

DOI: http://dx.doi.org/10.3390/publications6010001

Evaluating the Effectiveness of Data Management Training: DataONE’s Survey Instrument

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Authors : Chung-Yi Hou, Heather Soyka, Vivian Hutchison, Isis Sema, Chris Allen, Amber Budden

Effective management is a key component for preparing data to be retained for future long term access, use, and reuse by a broader community. Developing the skills to plan and perform data management tasks is important for individuals and institutions.

Teaching data literacy skills may also help to mitigate the impact of data deluge and other effects of being overexposed to and overwhelmed by data.

The process of learning how to manage data effectively for the entire research data lifecycle can be complex. There are often multiple stages involved within a lifecycle for managing data, and each stage may require specific knowledge, expertise, and resources.

Additionally, although a range of organizations offers data management education and training resources, it can often be difficult to assess how effective the resources are for educating users to meet their data management requirements.

In the case of Data Observation Network for Earth (DataONE), DataONE’s extensive collaboration with individuals and organizations has informed the development of multiple educational resources. Through these interactions, DataONE understands that the process of creating and maintaining educational materials that remain responsive to community needs is reliant on careful evaluations.

Therefore, the impetus for a comprehensive, customizable Education EVAluation instrument (EEVA) is grounded in the need for tools to assess and improve current and future training and educational resources for research data management.

In this paper, the authors outline and provide context for the background and motivations that led to creating EEVA for evaluating the effectiveness of data management educational resources. The paper details the process and results of the current version of EEVA.

Finally, the paper highlights the key features, potential uses, and the next steps in order to improve future extensions and revisions of EEVA.

URL : Evaluating the Effectiveness of Data Management Training: DataONE’s Survey Instrument

DOI : https://doi.org/10.2218/ijdc.v12i2.508

Understanding Factors that Encourage Research Productivity for Academic Librarians

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Authors : Kristin Hoffmann, Selinda Berg, Denise Koufogiannakis

Objective

This project identifies the factors that contribute to the success of librarians as active researchers. Research success is generally aligned with productivity and output, and the authors are therefore interested in understanding the factors that encourage research productivity. This fills a gap in the literature on librarians as researchers, which has tended to focus on barriers rather than enablers.

Methods

For this quantitative study, we distributed an online survey to 1,653 potential participants across Canada and received 453 usable responses for a 27% response rate. The survey asked participants to report their research outputs and to answer questions that addressed three categories of factors: Individual Attributes, Peers and Community, and Institutional Structures and Supports.

We then statistically analyzed participant responses in order to identify relationships between the research output variables (weighted output score and number of peer-reviewed articles) and the three categories, the factors within those categories, and the constituent components.

Results

Participants’ research output consisted largely of presentations, non-peer-reviewed articles, peer-reviewed articles, and posters. All three categories of factors were significantly related to research output, both for a calculated weighted output score and for number of peer-reviewed articles.

All of the factors identified within those categories were also significant when tested against weighted output score, but Intrinsic Motivations was not a significant factor when tested against number of peer-reviewed articles.

Several components of factors were also not significant for number of peer-reviewed articles. Age was the only significant component of Demographics. Three components of Education and Experience were significant: whether participants had received research training after completing their MLIS, whether they were working on an advanced degree, and the institution where they had obtained their MLIS.

Conclusions

Research productivity is significantly impacted by all three categories: Individual Attributes, Peers and Community, and Institutional Structures and Supports. Fostering an environment that focuses on all of these areas will be most likely to promote research output for librarians. At the same time, this study’s findings point to particular aspects that warrant further investigation, such as the nature and effect of institutional support and librarians’ motivations for doing research.

URL : Understanding Factors that Encourage Research Productivity for Academic Librarians

DOI : http://dx.doi.org/10.18438/B8G66F

 

 

Studying Conceptual Models for Publishing Library Data to the Semantic Web

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Author : Sofia Zapounidou

This thesis studies the library data and the way that linked data technologies may affect libraries. The thesis aims to contribute to the research regarding the devel-opment and implementation of a framework for the integration of bibliographic data in the semantic web.

It seeks to make sound propositions for the interopera-bility of conceptual bibliographic models, as well as for future library systems and search environments integrating bibliographic information.

DOI : http://eprints.rclis.org/32108/

The Dutch Approach to Achieving Open Access

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Authors : Maria A.M. Heijne, Wilma J.S.M. van Wezenbeek

In this paper, the authors – both of whom are library directors and involved in the contract negotiations with the bigger scientific publishers – present the conditions that formed the Dutch approach in these negotiations.

A combination of clear political support, a powerful delegation, a unique bargaining model and fidelity to their principles geared the Dutch to their success in achieving open access. The authors put these joint license and open access negotiations in the perspective of open science and show that they are part of the transition towards open access.

URL : https://edoc.hu-berlin.de/handle/18452/19356

 

Automating semantic publishing

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Author : Silvio Peroni

Semantic Publishing involves the use of Web and Semantic Web technologies and standards for the semantic enhancement of a scholarly work so as to improve its discoverability, interactivity, openness and (re-)usability for both humans and machines.

Recently, people have suggested that the semantic enhancements of a scholarly work should be undertaken by the authors of that scholarly work, and should be considered as integral parts of the contribution subjected to peer review. However, this requires that the authors should spend additional time and effort adding such semantic annotations, time that they usually do not have available.

Thus, the most pragmatic way to facilitate this additional task is to use automated services that create the semantic annotation of authors’ scholarly articles by parsing the content that they have already written, thus reducing the additional time required of the authors to that for checking and validating these semantic annotations.

In this article, I propose a generic approach called compositional and iterative semantic enhancement (CISE) that enables the automatic enhancement of scholarly papers with additional semantic annotations in a way that is independent of the markup used for storing scholarly articles and the natural language used for writing their content.

URL : Automating semantic publishing

Alternative location : https://content.iospress.com/articles/data-science/ds012