The ZBW – Leibniz Information Centre for Economics is launching the Open Library Economics (OLEcon) pilot project to support academic journals in academic sponsorship. From 2021, this will support economics journals that are independent of publishers in their transition to an Open Access business model without author fees (Diamant Open Access). OLEcon provides transitional funding for the journals to make the switch and supports them in establishing sustainable funding. In addition, OLEcon offers the funded journals comprehensive advice on the transition to Diamant Open Access as well as an offer of journal hosting together with a cooperation partner.
Die ZBW – Leibniz-Informationszentrum Wirtschaft startet das Pilotprojekt Open Library Economics (OLEcon) zur Förderung von wissenschaftlichen Zeitschriften in akademischer Trägerschaft. Ab 2021 werden damit verlagsunabhängige wirtschaftswissenschaftliche Zeitschriften bei der Umstellung auf ein Open-Access-Geschäftsmodell ohne Autorengebühren (Diamant Open Access) unterstützt. OLEcon bietet den Zeitschriften eine Übergangsfinanzierung für den Wechsel und unterstützt beim Aufbau einer nachhaltigen Finanzierung. Zudem bietet OLEcon den geförderten Zeitschriften umfassende Beratung bei der Umstellung auf Diamant Open Access sowie ein Angebot des Journal Hosting zusammen mit einem Kooperationspartner.
Actors in research and scientific publishing are gradually joining the Open-Access (OA) movement, which is gaining momentum to become nowadays at the heart of scientific policies in high-income countries. The rise of OA generates profound changes in the chain of production and dissemination of knowledge. Free access to peer-reviewed research methods and results has contributed to the dynamics of science observed in recent years. The modes of publication and access have also evolved; the classic model, based on journal subscriptions is gradually giving way to new economic models that have appeared with the arrival of OA. The objective of this article is twofold. First, propose a model for the publishing market based on the literature as well as on changes in open science policies. Second, analyze publishing strategies of publishers and institutions. To do so, we relied on game theory in economics. Results show that in the short term, the publisher’s equilibrium strategy is to adopt a hybridpublishing model, while the institutions’ equilibrium strategy is to publish in OA. This equilibrium is not stable and that in the medium/long term, the two players will converge on an OA publishing strategy. The analysis of the equilibrium in mixed-strategies confirms this result.
Abstract: The Internet has enabled efficient electronic publishing of scholarly journals and Open Access business models. Recent studies have shown that adoption of Open Access journals has been uneven across scholarly disciplines, where the business and economics disciplines in particular seem to lag behind all other fields of research. Through bibliometric analysis of journals indexed in Scopus, we find the share of articles in Open Access journals in business, management, and accounting to be only 6%. We further studied the Open Access availability of articles published during 2014–2019 in journals included in the Financial Times 50 journal list (19,969 articles in total). None of the journals are full Open Access, but 8% of the articles are individually open and for a further 35% earlier manuscript versions are available openly on the web. The results suggest that the low adoption rate of Open Access journals in the business fields is a side-effect of evaluation practices emphasizing publishing in journals included, in particular, ranking lists, creating disincentives for business model innovation, and barriers for new entrants among journals. Currently, most business school research has to be made Open Access through other ways than through full Open Access journals, and libraries play an important role in facilitating this in a sustainable way.
“Michelle Alexopoulos is interested in tracking technology trends.
For a recent project that involved out-of-print government publications, the economics professor and her coauthor Jon Cohen tapped into resources from Internet Archive—available free and online—conveniently from her campus at the University of Toronto.
Alexopoulos specializes in studying the effects of technical change on the economy and labor markets. She uses library classification systems, including metadata from the Library of Congress, to understand how quickly technology is coming to market by tracing the emergence of new books on tech subjects. When it came to looking up old library cataloging practices, some documents were difficult to find….”
“The Socioeconomic High-resolution Rural-Urban Geographic Platform for India (SHRUG) is a geographic platform that facilitates data sharing between researchers working on India. It is an open access repository currently comprising dozens of datasets covering India’s 500,000 villages and 8000 towns using a set of a common geographic identifiers that span 25 years….”
“ODISSEI (Open Data Infrastructure for Social Science and Economic Innovations) is the national research infrastructure for the social sciences in the Netherlands. ODISSEI brings together researchers with the necessary data, expertise and resources to conduct ground-breaking research and embrace the computational turn in social enquiry….”
“In these uncertain times, some faculty and their students may not have access to their institution’s print-only subscription to the AEA journals. To ensure access as academic semesters and various student projects conclude, the Association is making its available journal content open access on the AEA website through June 30, 2020. We thank you for your support as a member of the Association and hope that you will share this announcement with your colleagues and students who may not currently have online access through their institutional libraries. Please visit www.aeaweb.org to access the journals.”
“In Steffen’s view, new open access payment models are needed to make open access implementation practical. The journal he co-edits, EER Plus, was launched in 2019 as the OA spin-off of Europe’s oldest general-interest economics journals: European Economic Review (EER). Its quality and reputation are such that it rejects about 80 percent of papers.
As Steffen describes it, the EPC model his journal is piloting offers an affordable option for researchers with limited access to funds. The charge is set low – at €527, where some article processing charges will be upwards of €4,000 – and unlike a submission fee, the author only pays if their paper is selected for peer review. However, that fee is non-refundable if the article is rejected at the peer review stage….”
Abstract: This study estimates the effect of data sharing on the citations of academic articles, using journal policies as a natural experiment. We begin by examining 17 high-impact journals that have adopted the requirement that data from published articles be publicly posted. We match these 17 journals to 13 journals without policy changes and find that empirical articles published just before their change in editorial policy have citation rates with no statistically significant difference from those published shortly after the shift. We then ask whether this null result stems from poor compliance with data sharing policies, and use the data sharing policy changes as instrumental variables to examine more closely two leading journals in economics and political science with relatively strong enforcement of new data policies. We find that articles that make their data available receive 97 additional citations (estimate standard error of 34). We conclude that: a) authors who share data may be rewarded eventually with additional scholarly citations, and b) data-posting policies alone do not increase the impact of articles published in a journal unless those policies are enforced.
Abstract: The goal of this research is to examine and explore information retrieval process of patrons who access institutional repositories. Repositories are generally hosted by public universities and run by volunteers which allow researchers to submit their draft versions of their manuscripts in pre-print forms. In this study, we analyze using search methods to sort out research papers classified according to their levels of relevance that are available from a repository, and report the pattern of search results as our findings. Our model employs search methods for searching Econpapers which utilize RePEc bibliographic data. Our analysis attempts to highlight how information seekers, scholars and researchers search relevant topics of their interest and how relevant such information is which is retrieved from an institutional repository. This could aid researchers to modify their search processes to obtain better search results from their queries. The goal is to obtain the most relevant documents from online search. We discuss about the methods employed to retrieve information which is most pertinent to the requirements of researchers. A broad implication could be better utilization of time and resources for efficient retrieval of the most relevant documents of interest that could be expected from searching institutional repositories.
Abstract: In the last 3 years, several new (free) sources for academic publication and citation data have joined the now well-established Google Scholar, complementing the two traditional commercial data sources: Scopus and the Web of Science. The most important of these new data sources are Microsoft Academic (2016), Crossref (2017) and Dimensions (2018). Whereas Microsoft Academic has received some attention from the bibliometric commu-nity, there are as yet very few studies that have investigated the coverage of Crossref or Dimensions. To address this gap, this brief letter assesses Crossref and Dimensions cover-age in comparison to Google Scholar, Microsoft Academic, Scopus and the Web of Science through a detailed investigation of the full publication and citation record of a single academic, as well as six top journals in Business & Economics. Overall, this first small-scale study suggests that, when compared to Scopus and the Web of Science, Crossref and Dimensions have a similar or better coverage for both publications and citations, but a substantively lower coverage than Google Scholar and Microsoft Academic. If our find-ings can be confirmed by larger-scale studies, Crossref and Dimensions might serve as good alternatives to Scopus and the Web of Science for both literature reviews and citation analysis. However, Google Scholar and Microsoft Academic maintain their position as the most comprehensive free sources for publication and citation data
Abstract: Many studies have explored the relationship between housing prices and environmental characteristics using the hedonic price model (HPM). However, few studies have deeply examined the impact of scene perception near residential units on housing prices. This article used house purchasing records from FANG.com and open access geolocation data (including massive street view pictures, point of interest (POI) data and road network data) and proposed a framework named “open-access-dataset-based hedonic price modeling (OADB-HPM)” for comprehensive analysis in Beijing and Shanghai, China. A state-of-the-art deep learning framework and massive Baidu street view panoramas were employed to visualize and quantify three major scene perception characteristics (greenery, sky and building view indexes, abbreviated GVI, SVI and BVI, respectively) at the street level. Then, the newly introduced scene perception characteristics were combined with other traditional characteristics in the HPM to calculate marginal prices, and the results for Beijing and Shanghai were explored and compared. The empirical results showed that the greenery and sky perceptual elements at the property level can significantly increase the housing price in Beijing (RMB 39,377 and 6011, respectively) and Shanghai (RMB 21,689 and 2763, respectively), indicating an objectively higher willingness by buyers to pay for houses that provide the ability to perceive natural elements in the surrounding environment. This study developed quantification tools to help decision makers and planners understand and analyze the interaction between residents and urban scene components.
“Romer believes in making research transparent. He argues that openness and clarity about methodology is important for scientific research to gain trust. As Romer explained in an April 2018 blog post, in an effort to make his own work transparent, he tried to use Mathematica to share one of his studies in a way that anyone could explore every detail of his data and methods. It didn’t work. He says that Mathematica’s owner, Wolfram Research, made it too difficult to share his work in a way that didn’t require other people to use the proprietary software, too. Readers also could not see all of the code he used for his equations.
Instead of using Mathematica, Romer discovered that he could use a Jupyter notebook for sharing his research. Jupyter notebooks are web applications that allow programmers and researchers to share documents that include code, charts, equations, and data. Jupyter notebooks allow for code written in dozens of programming languages. For his research, Romer used Python—the most popular language for data science and statistics.
Importantly, unlike notebooks made from Mathematica, Jupyter notebooks are open source, which means that anyone can look at all of the code that created them. …”