Archive for the 'Publishing' Category

"Open Access Monograph Business Models"

Posted in Open Access, Publishing, Scholarly Books on April 10th, 2014

Eelco Ferwerda has published "Open Access Monograph Business Models" in Insights: The UKSG journal.

Here's an excerpt:

In recent years, a number of business models have been developed for open access (OA) monographs in the humanities and social sciences (HSS). While each model has been created in response to specific circumstances and needs, some commonalities can be observed. This article outlines some of the main types of model to support the costs of publishing OA books and provides examples of these models across the world.

It is followed by three short sketches providing more depth on: firstly, a traditional publisher's OA monograph offer; secondly, a licensing-based model which draws from existing library budgets; and finally, an experiment with delayed open access for books in philosophy: http://dx.doi.org/10.1629/2048-7754.118.

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    "How Well Developed Are Altmetrics? A Cross-Disciplinary Analysis of the Presence of ‘Alternative Metrics’ in Scientific Publications"

    Posted in Publishing, Scholarly Journals, Scholarly Metrics on April 8th, 2014

    Zohreh Zahedi, Rodrigo Costas, and Paul Wouters have self-archived "How Well Developed Are Altmetrics? A Cross-Disciplinary Analysis of the Presence of 'Alternative Metrics' in Scientific Publications."

    Here's an excerpt:

    In this paper an analysis of the presence and possibilities of altmetrics for bibliometric and performance analysis is carried out. Using the web based tool Impact Story, we collected metrics for 20,000 random publications from the Web of Science. We studied both the presence and distribution of altmetrics in the set of publications, across fields, document types and over publication years, as well as the extent to which altmetrics correlate with citation indicators. The main result of the study is that the altmetrics source that provides the most metrics is Mendeley, with metrics on readerships for 62.6% of all the publications studied, other sources only provide marginal information. In terms of relation with citations, a moderate spearman correlation (r=0.49) has been found between Mendeley readership counts and citation indicators.

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      "Internet Publicity of Data Problems in the Bioscience Literature Correlates with Enhanced Corrective Action"

      Posted in Publishing, Scholarly Communication, Scholarly Journals, Social Media/Web 2.0 on April 7th, 2014

      Paul S. Brookes has published "Internet Publicity of Data Problems in the Bioscience Literature Correlates with Enhanced Corrective Action" in PeerJ.

      Here's an excerpt:

      Several online forums exist to facilitate open and/or anonymous discussion of the peer-reviewed scientific literature. Data integrity is a common discussion topic, and it is widely assumed that publicity surrounding such matters will accelerate correction of the scientific record. This study aimed to test this assumption by examining a collection of 497 papers for which data integrity had been questioned either in public or in private. As such, the papers were divided into two sub-sets: a public set of 274 papers discussed online, and the remainder a private set of 223 papers not publicized. The sources of alleged data problems, as well as criteria for defining problem data, and communication of problems to journals and appropriate institutions, were similar between the sets. The number of laboratory groups represented in each set was also similar (75 in public, 62 in private), as was the number of problem papers per laboratory group (3.65 in public, 3.54 in private). Over a study period of 18 months, public papers were retracted 6.5-fold more, and corrected 7.7-fold more, than those in the private set. Parsing the results by laboratory group, 28 laboratory groups in the public set had papers which received corrective action, versus 6 laboratory groups in the private set. For those laboratory groups in the public set with corrected/retracted papers, the fraction of their papers acted on was 62% of those initially flagged, whereas in the private set this fraction was 27%. Such clustering of actions suggests a pattern in which correction/retraction of one paper from a group correlates with more corrections/retractions from the same group, with this pattern being stronger in the public set. It is therefore concluded that online discussion enhances levels of corrective action in the scientific literature. Nevertheless, anecdotal discussion reveals substantial room for improvement in handling of such matters.

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        "Ethics and Access 2: The So-Called Sting"

        Posted in Open Access, Publishing, Scholarly Journals on April 3rd, 2014

        Walt Crawford has published "Ethics and Access 2: The So-Called Sting" in Cites & Insights: Crawford at Large.

        Here's an excerpt from the announcement:

        John Bohannon wrote a news article in Science that either shows that many open access journals with APC charges have sloppy (or no) peer review…or shows almost nothing at all. This story discusses the article itself, offers a number of responses to it—and then adds something I don't believe you'll find anywhere else: A journal-by-journal test of whether the journals involved would pass a naive three-minute sniff test as to whether they were plausible targets for article submissions without lots of additional checking. Is this really a problem involving a majority of hundreds of journals—or maybe one involving 27% (that is, 17) of 62 journals? Read the story; make up your own mind.

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          "Measuring the Value of Research Data: A Citation Analysis of Oceanographic Data Sets"

          Posted in Data Curation, Open Data, and Research Data Management, Publishing, Scholarly Journals on April 2nd, 2014

          Christopher W. Belter has published "Measuring the Value of Research Data: A Citation Analysis of Oceanographic Data Sets" in PLOS ONE.

          Here's an excerpt:

          Evaluation of scientific research is becoming increasingly reliant on publication-based bibliometric indicators, which may result in the devaluation of other scientific activities—such as data curation—that do not necessarily result in the production of scientific publications. This issue may undermine the movement to openly share and cite data sets in scientific publications because researchers are unlikely to devote the effort necessary to curate their research data if they are unlikely to receive credit for doing so. This analysis attempts to demonstrate the bibliometric impact of properly curated and openly accessible data sets by attempting to generate citation counts for three data sets archived at the National Oceanographic Data Center. My findings suggest that all three data sets are highly cited, with estimated citation counts in most cases higher than 99% of all the journal articles published in Oceanography during the same years. I also find that methods of citing and referring to these data sets in scientific publications are highly inconsistent, despite the fact that a formal citation format is suggested for each data set. These findings have important implications for developing a data citation format, encouraging researchers to properly curate their research data, and evaluating the bibliometric impact of individuals and institutions.

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            HEFCE and Three Other UK Funding Bodies Enact Open Access Mandate

            Posted in Legislation and Government Regulation, Open Access, Publishing, Scholarly Journals on April 1st, 2014

            The Higher Education Funding Council for England and three other UK funding bodies (the Scottish Funding Council, the Higher Education Funding Council for Wales and the Department for Employment and Learning) have enacted an open access mandate.

            Here's an excerpt:

            5. The core of this policy is as follows: to be eligible for submission to the post-2014 REF, outputs must have been deposited in an institutional or subject repository on acceptance for publication, and made open-access within a specified time period. This requirement applies to journal articles and conference proceedings only; monographs and other long-form publications, research data and creative and practice-based research outputs are out of scope. Only articles and proceedings accepted for publication after 1 April 2016 will need to fulfil these requirements, but we would strongly urge institutions to implement the policy now. The policy gives a further list of cases where outputs will not need to fulfil the requirements.

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              "Response to Elsevier’s Text and Data Mining Policy: A LIBER Discussion Paper"

              Posted in Data Curation, Open Data, and Research Data Management, Open Access, Publishing, Scholarly Journals on March 31st, 2014

              LIBER has released "Response to Elsevier's Text and Data Mining Policy: A LIBER Discussion Paper."

              Here's an excerpt from the announcement:

              LIBER believes that the right to read is the right to mine and that licensing will never bridge the gap in the current copyright framework as it is unscalable and resource intensive. Furthermore, as this discussion paper highlights, licensing has the potential to limit the innovative potential of digital research methods by:

              1. restricting the tools that researchers can use
              2. limiting the way in which research results can be made available
              3. impacting on the transparency and reproducibility of research results.

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                ARL Awarded $1 Million Grant for Shared Access Research Ecosystem (SHARE)

                Posted in ARL Libraries, Open Access, Publishing on March 31st, 2014

                ARL has been awarded a $1 million grant for the Shared Access Research Ecosystem (SHARE).

                Here's an excerpt from the announcement:

                The Association of Research Libraries (ARL) has been awarded a joint $1 million grant from the Institute of Museum and Library Services (IMLS) and the Alfred P. Sloan Foundation to develop and launch the Shared Access Research Ecosystem (SHARE) Notification Service. SHARE is a collaborative initiative of ARL, the Association of American Universities (AAU), and the Association of Public and Land-grant Universities (APLU) to ensure the preservation of, access to, and reuse of research findings and reports.

                SHARE aims to make research assets more discoverable and more accessible, and to enable the research community to build upon these assets in creative ways. SHARE's first project, the Notification Service, will inform stakeholders when research results—including articles and data—are released.

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