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How Many More Cites is a $3,000 Open Access Fee Buying You? Empirical Evidence from a Natural Experiment

Posté le 17 janvier 2018 par Hans Dillaerts

Authors : Frank Mueller-Langer, Richard Watt

This paper analyzes the effect of open access (OA) status of published journal articles on peer recognition, as measured by the number of citations. Using cross-sectional and panel data from interdisciplinary mathematics and economics journals, we perform negative binomial, Poisson and linear regressions together with generalized method of moments/instrumental variable methods regressions.

We benefit from a natural experiment via hybrid OA pilot agreements. Under these agreements, OA status is exogenously assigned to all articles of authors affiliated with hybrid OA pilot institutions.

Our cross-sectional analysis of the full sample suggests that there is no citation benefit associated with hybrid OA. In contrast, for the subpopulation of journal articles for which neither OA pre-prints nor OA post-prints are available, we find positive hybrid OA effects for the full sample and each discipline separately.

We address the issue of selection bias by exploiting a panel of journal articles for which OA pre-prints are available. Citations to pre-prints allow us to identify the intrinsic quality of articles prior to publication in a journal.

The results from the panel analysis provide additional empirical evidence for a negligible hybrid OA citation effect.

URL : https://ssrn.com/abstract=3096572

DataMed – an open source discovery index for finding biomedical datasets

Posté le 15 janvier 2018 par Hans Dillaerts

Authors : Xiaoling Chen, Anupama E Gururaj, Burak Ozyurt, Ruiling Liu, Ergin Soysal, Trevor Cohen, Firat Tiryaki, Yueling Li, Nansu Zong, Min Jiang, Deevakar Rogith, Mandana Salimi, Hyeon-eui Kim, Philippe Rocca-Serra, Alejandra Gonzalez-Beltran, Claudiu Farcas, Todd Johnson, Ron Margolis, George Alter, Susanna-Assunta Sansone, Ian M Fore, Lucila Ohno-Machado, Jeffrey S Grethe, Hua Xu

Objective

Finding relevant datasets is important for promoting data reuse in the biomedical domain, but it is challenging given the volume and complexity of biomedical data. Here we describe the development of an open source biomedical data discovery system called DataMed, with the goal of promoting the building of additional data indexes in the biomedical domain.

Materials and Methods

DataMed, which can efficiently index and search diverse types of biomedical datasets across repositories, is developed through the National Institutes of Health–funded biomedical and healthCAre Data Discovery Index Ecosystem (bioCADDIE) consortium.

It consists of 2 main components: (1) a data ingestion pipeline that collects and transforms original metadata information to a unified metadata model, called DatA Tag Suite (DATS), and (2) a search engine that finds relevant datasets based on user-entered queries.

In addition to describing its architecture and techniques, we evaluated individual components within DataMed, including the accuracy of the ingestion pipeline, the prevalence of the DATS model across repositories, and the overall performance of the dataset retrieval engine.

Results and Conclusion

Our manual review shows that the ingestion pipeline could achieve an accuracy of 90% and core elements of DATS had varied frequency across repositories. On a manually curated benchmark dataset, the DataMed search engine achieved an inferred average precision of 0.2033 and a precision at 10 (P@10, the number of relevant results in the top 10 search results) of 0.6022, by implementing advanced natural language processing and terminology services.

Currently, we have made the DataMed system publically available as an open source package for the biomedical community.

DOI : https://doi.org/10.1093/jamia/ocx121

Open Access and the Theological Imagination

Posté le 12 janvier 2018 par Hans Dillaerts

Authors : Talea Anderson, David Squires

The past twenty years have witnessed a mounting crisis in academic publishing. Companies such as Reed-Elsevier, Wiley-Blackwell, and Taylor and Francis have earned unprecedented profits by controlling more and more scholarly output while increasing subscription rates to academic journals.

Thus publishers have consolidated their influence despite widespread hopes that digital platforms would disperse control over knowledge production. Open access initiatives dating back to the mid-1990s evidence a religious zeal for overcoming corporate interests in academic publishing, with key advocates branding their efforts as archivangelism.

Little attention has been given to the legacy or implications of religious rhetoric in open access debates despite its increasing pitch in recent years. This essay shows how the Protestant imaginary reconciles–rather than opposes–open access initiatives with market economics by tracing the rhetoric of openness to free-market liberalism.

Working against the tendency to accept the Reformation as an analogy for the relationship between knowledge production, publishers, and academics, we read Protestantism as a counterproductive element of the archivangelist inheritance.

URL : http://www.digitalhumanities.org/dhq/vol/11/4/000340/000340.html

Open Access Determinants and the Effect on Article Performance

Posté le 12 janvier 2018 par Hans Dillaerts

Author : Sumiko Asai

Although open access has steadily developed with the continuous increase in subscription journal price, the effect of open access articles on citations remains a controversial issue. The present study empirically examines the factors determining authors’ choice to provide open access and the effects of open access on downloads and citations in hybrid journals.

This study estimates author’s choice of open access using a probit model, and the results show that the cost of open access is an important factor in the decision. After a test for endogeneity of open access choice, the equation for downloads is estimated with the variables representing characteristics of articles and authors.

The results of estimating downloads by ordinary least squares show that open access increases the number of downloads in hybrid journals. On the other hand, from citation estimations using a negative binominal model, this study found that the effect of open access on the number of citations differs among hybrid journals.

It is a good practice for authors to consider a balance between article processing charges and the benefits that will be gained from open access when deciding whether to provide open access.

URL : Open Access Determinants and the Effect on Article Performance

DOI : 10.11648/j.ijber.20170606.11

Open access levels: a quantitative exploration using Web of Science and oaDOI data

Posté le 12 janvier 2018 par Hans Dillaerts

Authors : Jeroen Bosman, Bianca Kramer

Across the world there is growing interest in open access publishing among researchers, institutions, funders and publishers alike. It is assumed that open access levels are growing, but hitherto the exact levels and patterns of open access have been hard to determine and detailed quantitative studies are scarce.

Using newly available open access status data from oaDOI in Web of Science we are now able to explore year-on-year open access levels across research fields, languages, countries, institutions, funders and topics, and try to relate the resulting patterns to disciplinary, national and institutional contexts.

With data from the oaDOI API we also look at the detailed breakdown of open access by types of gold open access (pure gold, hybrid and bronze), using universities in the Netherlands as an example.

There is huge diversity in open access levels on all dimensions, with unexpected levels for e.g. Portuguese as language, Astronomy & Astrophysics as research field, countries like Tanzania, Peru and Latvia, and Zika as topic.

We explore methodological issues and offer suggestions to improve conditions for tracking open access status of research output. Finally, we suggest potential future applications for research and policy development. We have shared all data and code openly.

URL : Open access levels: a quantitative exploration using Web of Science and oaDOI data

DOI : https://doi.org/10.7287/peerj.preprints.3520v1

Who Wrote This? Creator Metadata Quality on Academia.Edu

Posté le 12 janvier 2018 par Hans Dillaerts

Author : Zachary Schoenberger

Academic social networking services (SNSs) such as ResearchGate.com or Academia.Edu have recently experienced a surge in popularity (Ortega, 2016). Existing research into academic SNSs have focused on population parameters and social networking usage patterns. Currently, no research has been conducted on the quality of bibliographic metadata on academic SNSs.

Bibliographic metadata functions to support user tasks, including finding, identifying, selecting, and obtaining information resources. “Creator” metadata, which describes resource authorship, helps users find and identify digital works in a repository.

Additionally, academic researchers rely on author attribution for their professional promotion and prestige, and they are accustomed to scholarly environments which implement standards that support accurate author attribution.

This study therefore examines “creator” metadata for University of Alberta publications posted on Academia.Edu, and compares these with publisher created records of the same titles. Metadata quality is assessed through the measurement of completeness, consistency, and accuracy.

The study reveals that Academia.Edu “creator” metadata is significantly incomplete compared to publisher metadata, and the frequency of incomplete records increases in proportion to the size of the author cohort. This incompleteness is evidence of poor metadata quality on Academia.Edu.

Academia.Edu “creator” metadata is, however, much more consistent than publisher metadata. Finally, accuracy is found to be an inadequate determiner of metadata quality, as the presence of user generated metadata calls into question the conceptual stability of “authenticity” and “authority,” upon which a measure of accuracy depends.

This study of metadata quality therefore reveals the complexity and contradiction that underlies this topic. In terms of completeness, Academia.Edu metadata is poor in quality. In terms of consistency, Academia.Edu metadata excels in quality.

Finally, the study recommends further investigation into the definition of authority in relation to user-contributed metadata.

URL : https://era.library.ualberta.ca/files/csj139229z#