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Small scholar-led scholarly journals: Can they survive and thrive in an open access future?

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Author : Heather Morrison

This article presents early results of a research project designed to further our understanding of how to ensure that small scholar-led journals can survive and thrive in a global open access knowledge commons.

This phase of the research focuses on generation of ideas through interviews and focus groups with 15 participants involved in producing small scholar-led journals that either are or would like to become open access.

Although a couple of journals reported that they could survive in an open access future based on existing resources, most were concerned about survival and none expressed confidence that they could thrive in an open-access future.

These journals are far more diverse than one might imagine. Comparing the costs of article production from one journal with another might not make sense. A number of avenues for further research are discussed.

URL : Small scholar-led scholarly journals: Can they survive and thrive in an open access future?

Alternative location : http://onlinelibrary.wiley.com/doi/10.1002/leap.1015/full

Can we use altmetrics at the institutional level? A case study analysing the coverage by research areas of four Spanish universities

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Authors : Daniel Torres-Salinas, Nicolas Robinson-Garcia, Evaristo Jiménez-Contreras

Social media based indicators or altmetrics have been under scrutiny for the last seven years. Their promise as alternative metrics for measuring scholarly impact is still far from becoming a reality.

Up to now, most studies have focused on the understanding of the nature and relation of altmetric indicators with citation data. Few papers have analysed research profiles based on altmetric data.

Most of these have related to researcher profiles and the expansion of these tools among researchers. This paper aims at exploring the coverage of the Altmetric.com database and its potential use in order to show universities’ research profiles in relationship with other databases.

We analyse a sample of four different Spanish universities.First, we observe a low coverage of altmetric indicators with only 36 percent of all documents retrieved from the Web of Science having an ‘altmetric’ score.Second, we observe that for the four universities analysed, the area of Science shows higher ‘altmetric’ scores that the rest of the research areas.

Finally, considering the low coverage of altmetric data at the institutional level, it could be interesting for research policy makers to consider the development of guidelines and best practices guides to ensure that researchers disseminate adequately their research findings through social media.

URL : Can we use altmetrics at the institutional level? A case study analysing the coverage by research areas of four Spanish universities

Alternative location : https://arxiv.org/abs/1606.00232

Revisiting the Data Lifecycle with Big Data Curation

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Author : Line Pouchard

As science becomes more data-intensive and collaborative, researchers increasingly use larger and more complex data to answer research questions.

The capacity of storage infrastructure, the increased sophistication and deployment of sensors, the ubiquitous availability of computer clusters, the development of new analysis techniques, and larger collaborations allow researchers to address grand societal challenges in a way that is unprecedented.

In parallel, research data repositories have been built to host research data in response to the requirements of sponsors that research data be publicly available. Libraries are re-inventing themselves to respond to a growing demand to manage, store, curate and preserve the data produced in the course of publicly funded research.

As librarians and data managers are developing the tools and knowledge they need to meet these new expectations, they inevitably encounter conversations around Big Data. This paper explores definitions of Big Data that have coalesced in the last decade around four commonly mentioned characteristics: volume, variety, velocity, and veracity.

We highlight the issues associated with each characteristic, particularly their impact on data management and curation. We use the methodological framework of the data life cycle model, assessing two models developed in the context of Big Data projects and find them lacking.

We propose a Big Data life cycle model that includes activities focused on Big Data and more closely integrates curation with the research life cycle. These activities include planning, acquiring, preparing, analyzing, preserving, and discovering, with describing the data and assuring quality being an integral part of each activity.

We discuss the relationship between institutional data curation repositories and new long-term data resources associated with high performance computing centers, and reproducibility in computational science.

We apply this model by mapping the four characteristics of Big Data outlined above to each of the activities in the model. This mapping produces a set of questions that practitioners should be asking in a Big Data project

URL : Revisiting the Data Lifecycle with Big Data Curation

Alternative location : http://www.ijdc.net/index.php/ijdc/article/view/10.2.176

The effects of an editor serving as one of the reviewers during the peer-review process

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Authors : Marco Giordan, Attila Csikasz-Nagy, Andrew M. Collings

Background

Publishing in scientific journals is one of the most important ways in which scientists disseminate research to their peers and to the wider public.

Pre-publication peer review underpins this process, but peer review is subject to various criticisms and is under pressure from growth in the number of scientific publications.

Methods

Here we examine an element of the editorial process at eLife, in which the Reviewing Editor usually serves as one of the referees, to see what effect this has on decision times, decision type, and the number of citations.

We analysed a dataset of 8,905 research submissions to eLife since June 2012, of which 2,750 were sent for peer review, using R and Python to perform the statistical analysis.

Results

The Reviewing Editor serving as one of the peer reviewers results in faster decision times on average, with the time to final decision ten days faster for accepted submissions (n=1,405) and 5 days faster for papers that were rejected after peer review (n=1,099).

There was no effect on whether submissions were accepted or rejected, and a very small (but significant) effect on citation rates for published articles where the Reviewing Editor served as one of the peer reviewers.

Conclusions

An important aspect of eLife’s peer-review process is shown to be effective, given that decision times are faster when the Reviewing Editor serves as a reviewer. Other journals hoping to improve decision times could consider adopting a similar approach.

URL : The effects of an editor serving as one of the reviewers during the peer-review process

DOI : http://dx.doi.org/10.12688/f1000research.8452.1

Dealing with Big Data

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Authors : Tobias Blanke, Andrew Prescott

This book chapter attempts to counter anxieties in the humanities and social science about the role of big data in research by focusing on approaches which, by being firmly grounded in the traditional values of disciplines, enhance existing methods to produce fruitful research.

Big data poses many methodological challenges, but these pressures should prompt scholars to pay much closer attention to methodological issues than they have in the past.

URL : http://arxiv.org/abs/1605.06354

Quality Assessment of Studies Published in Open Access and Subscription Journals: Results of a Systematic Evaluation

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Authors : Sonja Milovanovic, Jovana Stojanovic, Ljupcho Efremov, Rosarita Amore, Stefania Boccia

Introduction

Along with the proliferation of Open Access (OA) publishing, the interest for comparing the scientific quality of studies published in OA journals versus subscription journals has also increased.

With our study we aimed to compare the methodological quality and the quality of reporting of primary epidemiological studies and systematic reviews and meta-analyses published in OA and non-OA journals.

Methods

In order to identify the studies to appraise, we listed all OA and non-OA journals which published in 2013 at least one primary epidemiologic study (case-control or cohort study design), and at least one systematic review or meta-analysis in the field of oncology.

For the appraisal, we picked up the first studies published in 2013 with case-control or cohort study design from OA journals (Group A; n = 12), and in the same time period from non-OA journals (Group B; n = 26); the first systematic reviews and meta-analyses published in 2013 from OA journals (Group C; n = 15), and in the same time period from non-OA journals (Group D; n = 32).

We evaluated the methodological quality of studies by assessing the compliance of case-control and cohort studies to Newcastle and Ottawa Scale (NOS) scale, and the compliance of systematic reviews and meta-analyses to Assessment of Multiple Systematic Reviews (AMSTAR) scale.

The quality of reporting was assessed considering the adherence of case-control and cohort studies to STrengthening the Reporting of OBservational studies in Epidemiology (STROBE) checklist, and the adherence of systematic reviews and meta-analyses to Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) checklist.

Results

Among case-control and cohort studies published in OA and non-OA journals, we did not observe significant differences in the median value of NOS score (Group A: 7 (IQR 7–8) versus Group B: 8 (7–9); p = 0.5) and in the adherence to STROBE checklist (Group A, 75% versus Group B, 80%; p = 0.1).

The results did not change after adjustment for impact factor. The compliance with AMSTAR and adherence to PRISMA checklist were comparable between systematic reviews and meta-analyses published in OA and non-OA journals (Group C, 46.0% versus Group D, 55.0%; p = 0.06), (Group C, 72.0% versus Group D, 76.0%; p = 0.1), respectively).

Conclusion

The epidemiological studies published in OA journals in the field of oncology approach the same methodological quality and quality of reporting as studies published in non-OA journal.

URL : Quality Assessment of Studies Published in Open Access and Subscription Journals: Results of a Systematic Evaluation

DOI : http://dx.doi.org/10.1371/journal.pone.0154217

A longitudinal study of independent scholar-published open access journals

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Authors : Bo-Christer Björk, Cenyu Shen, Mikael Laakso

Open Access (OA) is nowadays increasingly being used as a business model for the publishing of scholarly peer reviewed journals, both by specialized OA publishing companies and major, predominantly subscription-based publishers.

However, in the early days of the web OA journals were mainly founded by independent academics, who were dissatisfied with the predominant print and subscription paradigm and wanted to test the opportunities offered by the new medium.

There is still an on-going debate about how OA journals should be operated, and the volunteer model used by many such ‘indie’ journals has been proposed as a viable alternative to the model adopted by big professional publishers where publishing activities are funded by authors paying expensive article processing charges (APCs).

Our longitudinal quantitative study of 250 ‘indie’ OA journals founded prior to 2002, showed that 51% of these journals were still in operation in 2014 and that the median number of articles published per year had risen from 11 to 18 among the survivors.

Of these surviving journals, only 8% had started collecting APCs. A more detailed qualitative case study of five such journals provided insights into how such journals have tried to ensure the continuity and longevity of operations.

URL : A longitudinal study of independent scholar-published open access journals

DOI : https://doi.org/10.7717/peerj.1990