458
views
0
recommends
+1 Recommend
0 collections
    2
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Can scientists and their institutions become their own open access publishers?

      Preprint

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          This article offers a personal perspective on the current state of academic publishing, and posits that the scientific community is beset with journals that contribute little valuable knowledge, overload the community's capacity for high-quality peer review, and waste resources. Open access publishing can offer solutions that benefit researchers and other information users, as well as institutions and funders, but commercial journal publishers have influenced open access policies and practices in ways that favor their economic interests over those of other stakeholders in knowledge creation and sharing. One way to free research from constraints on access is the diamond route of open access publishing, in which institutions and funders that produce new knowledge reclaim responsibility for publication via institutional journals or other open platforms. I argue that research journals (especially those published for profit) may no longer be fit for purpose, and hope that readers will consider whether the time has come to put responsibility for publishing back into the hands of researchers and their institutions. The potential advantages and challenges involved in a shift away from for-profit journals in favor of institutional open access publishing are explored.

          Related collections

          Most cited references7

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          Academic Research in the 21st Century: Maintaining Scientific Integrity in a Climate of Perverse Incentives and Hypercompetition

          Abstract Over the last 50 years, we argue that incentives for academic scientists have become increasingly perverse in terms of competition for research funding, development of quantitative metrics to measure performance, and a changing business model for higher education itself. Furthermore, decreased discretionary funding at the federal and state level is creating a hypercompetitive environment between government agencies (e.g., EPA, NIH, CDC), for scientists in these agencies, and for academics seeking funding from all sources—the combination of perverse incentives and decreased funding increases pressures that can lead to unethical behavior. If a critical mass of scientists become untrustworthy, a tipping point is possible in which the scientific enterprise itself becomes inherently corrupt and public trust is lost, risking a new dark age with devastating consequences to humanity. Academia and federal agencies should better support science as a public good, and incentivize altruistic and ethical outcomes, while de-emphasizing output.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Current Incentives for Scientists Lead to Underpowered Studies with Erroneous Conclusions

            We can regard the wider incentive structures that operate across science, such as the priority given to novel findings, as an ecosystem within which scientists strive to maximise their fitness (i.e., publication record and career success). Here, we develop an optimality model that predicts the most rational research strategy, in terms of the proportion of research effort spent on seeking novel results rather than on confirmatory studies, and the amount of research effort per exploratory study. We show that, for parameter values derived from the scientific literature, researchers acting to maximise their fitness should spend most of their effort seeking novel results and conduct small studies that have only 10%–40% statistical power. As a result, half of the studies they publish will report erroneous conclusions. Current incentive structures are in conflict with maximising the scientific value of research; we suggest ways that the scientific ecosystem could be improved.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Improving the peer-review process and editorial quality: key errors escaping the review and editorial process in top scientific journals

              We apply a novel mistake index to assess trends in the proportion of corrections published between 1993 and 2014 in Nature, Science and PNAS. The index revealed a progressive increase in the proportion of corrections published in these three high-quality journals. The index appears to be independent of the journal impact factor or the number of items published, as suggested by a comparative analyses among 16 top scientific journals of different impact factors and disciplines. A more detailed analysis suggests that the trend in the time-to-correction increased significantly over time and also differed among journals (Nature 233 days; Science 136 days; PNAS 232 days). A detailed review of 1,428 errors showed that 60% of corrections were related to figures, authors, references or results. According to the three categories established, 34.7% of the corrections were considered mild, 47.7% moderate and 17.6% severe, also differing among journals. Errors occurring during the printing process were responsible for 5% of corrections in Nature, 3% in Science and 18% in PNAS. The measurement of the temporal trends in the quality of scientific manuscripts can assist editors and reviewers in identifying the most common mistakes, increasing the rigor of peer-review and improving the quality of published scientific manuscripts.
                Bookmark

                Author and article information

                Journal
                2017-01-10
                Article
                1701.02461
                154279c0-e355-4a64-b4fe-b9a32b992298

                http://creativecommons.org/licenses/by-nc-sa/4.0/

                History
                Custom metadata
                23 pages, 2 tabes, 58 references
                cs.DL cs.CY

                Applied computer science,Information & Library science
                Applied computer science, Information & Library science

                Comments

                Comment on this article