Open access full-text databases in Asian countries

Open access promotion methods are generally divided into the ‘gold road’ and the ‘green road.’ Asian countries most commonly focus on the gold road while others focus on the green road. According to data from the Directory of Open Access Journal and the Directory of Open Access Repositories, Indonesia has the largest number of open access journals in the world, while Japan has the third largest number of institutional repositories. In contrast, in Korea, the extensible markup language services of the original text of journal articles are more popular than other Asian countries. In this article, the current status of open access in Asian countries is investigated, and typical open access journal service platforms in Asian countries are reviewed

Development of an open peer review system using blockchain and reviewer recommendation technologies

In order to create a transparent and sound academic communication ecosystem centered on researchers, we developed a system that applied blockchain technology to an open peer review system. In this study, an open peer review system was developed based on Hyperledger Fabric, which is a private blockchain. The system can be operated in connection with the reviewer recommendation module of the existing submission management system. In the reviewer recommendation module, reviewers are recommended by excluding co-authors and colleagues after an expertise test. The blockchain system performs an open peer review process based on smart contracts, while the submission management system selects reviewers for peer review. A service broker intervenes between these two systems for data interchange. The system developed herein is expected to be used as a researcher-centered scholarly communication model in the open science era, in which the intervention of publishers is minimized, and authors and reviewers (as researchers) are centered

Patterns of Citing Korean DOI Journals According to CrossRef's Cited-by Linking and a Local Journal Citation Database

Citing literature is a very important activity for scholars in writing articles. Many publishers and libraries build citation databases and provide citation reports on scholarly journals. Cited-by linking is a service representing what an article cites and how many times it cites a specific article within a journal database. Recently, information services based on DOIs (Digital Object Identifiers) have been increasing in number. CrossRef, a non-profit organization for the DOI registration agency, maintains the DOI system and provides the cited-by linking service. Recently, the number of Korean journals adopting DOI is also rapidly increasing. The Korea Institute of Science and Technology Information (KISTI) supports Korean learned societies in DOI related activities in collaboration with CrossRef. This study analyzes cited patterns of Korean DOI journal articles using CrossRef's cited-by linking data and a Korean journal citation database. This analysis has been performed in terms of publication country and the language of journals citing Korean journal articles. The results show that DOI, SCI(E) (Science Citation Index (Expanded)), and English journals are more likely to be cited internationally

Patterns of Citing Korean DOI Journals According to CrossRef's Cited-by Linking and a Local Journal Citation Database

Citing literature is a very important activity for scholars in writing articles. Many publishers and libraries build citation databases and provide citation reports on scholarly journals. Cited-by linking is a service representing what an article cites and how many times it cites a specific article within a journal database. Recently, information services based on DOIs (Digital Object Identifiers) have been increasing in number. CrossRef, a non-profit organization for the DOI registration agency, maintains the DOI system and provides the cited-by linking service. Recently, the number of Korean journals adopting DOI is also rapidly increasing. The Korea Institute of Science and Technology Information (KISTI) supports Korean learned societies in DOI related activities in collaboration with CrossRef. This study analyzes cited patterns of Korean DOI journal articles using CrossRef's cited-by linking data and a Korean journal citation database. This analysis has been performed in terms of publication country and the language of journals citing Korean journal articles. The results show that DOI, SCI(E) (Science Citation Index (Expanded)), and English journals are more likely to be cited internationally

Analysis of journal attributes of 403 KoreaScience journals from the viewpoint of author

Korea is a country in which journal industry is rapidly increasing recently. KoreaScience is a typical Korean scientific and technical journal database that may be used to analyze Korean journals. A set of journal attributes reflecting the requirements in view of submitting authors was derived and some characteristics of KoreaScience journals such as subject distribution, launch year, publication frequency, publication language, and open access were quantitatively analyzed according to the journal attributes. As a result, it was found that Korean journals are published in almost all subject categories except some subject categories under Physics. The number of journal has been increased rapidly during the period between 1980s and 1990s. Journals published quarterly are 45%. Journals published in English are 31%. Open access journals are 26% while 72% free access

Equality, equity, and reality of open access on scholarly information

The current statistic data on the open access (OA) journals and institutional repositories show some successes and increased awareness on OA in Asian countries. There are several concerns, however, in regards to the access and use of articles by researchers together with the continued increase of libraries expenditure for journals. In the present article we introduce five solutions in the global and local perspectives. OA2020 initiative is a global initiative to transform existing journals to OA. Although the practical process of OA2020 remains a challenge, the transformation will increase OA without significant increase of journals and budgets for publishing. The promotion of the local and Asian journals is the second big challenge. Because these local or Asian journals still have important roles in the local research community, they should keep current publishing model of OA at the low cost but with high quality and the better access. The restructuring of the current library budget is the third challenge. The budget for periodicals should be reduced and the saved budget can be used to pay articles processing charge for OA and for purchasing monographs. The fourth important issue is the digital blind spot at the young unemployed and retired elderly. These groups of poorly supported and potentially important researchers have to be considered as a priority issue to the policies on OA and scholarly knowledge. Lastly, we believe there should be different needs for other activities: optimization of the searchable database, governmental policy on open science and international cooperation on OA.This work is a product of collaboration and discussion among many scientists, editors of journals, copy editors, librarians, information scientists, and policy makers. Only a small number of participants are included to authors but there are many others contributed. Authors acknowledge their contribution in many different waysOAIID:RECH_ACHV_DSTSH_NO:T201713502RECH_ACHV_FG:RR00200001ADJUST_YN:EMP_ID:A002236CITE_RATE:0FILENAME:se-4-2-58 FINAL.pdfDEPT_NM:의학과EMAIL:[email protected]_YN:NFILEURL:https://srnd.snu.ac.kr/eXrepEIR/fws/file/0bcf2055-985d-4c2b-8a14-1767373cbe38/linkCONFIRM:

MERCI: Efficient embedding reduction on commodity hardware via sub-query memoization

© 2021 ACM.Deep neural networks (DNNs) with embedding layers are widely adopted to capture complex relationships among entities within a dataset. Embedding layers aggregate multiple embeddings- A dense vector used to represent the complicated nature of a data feature-into a single embedding; such operation is called embedding reduction. Embedding reduction spends a significant portion of its runtime on reading embeddings from memory and thus is known to be heavily memory-bandwidth-bound. Recent works attempt to accelerate this critical operation, but they often require either hardware modifications or emerging memory technologies, which makes it hardly deployable on commodity hardware. Thus, we propose MERCI, Memoization for Embedding Reduction with ClusterIng, a novel memoization framework for efficient embedding reduction. MERCI provides a mechanism for memoizing partial aggregation of correlated embeddings and retrieving the memoized partial result at a low cost. MERCI substantially reduces the number of memory accesses by 44% (29%), leading to 102% (74%) throughput improvement on real machines and 40.2% (28.6%) energy savings at the expense of 8×(1×) additional memory usage.N

Association of Glycosylated Hemoglobin Level and Cancer-Related Mortality in Patients without Diabetes

Background: Previous studies have reported that abnormal glucose metabolism is associated with poor cancer outcomes. Glycated hemoglobin A1c (HbA1c) is an important indicator of glucose metabolism. This study aimed to investigate the relationship between nondiabetic HbA1c levels and cancer-related mortality. Methods: This was a retrospective cohort study of Koreans who attended an annual or biennial health checkup program. The study group was categorized based on the quintile of HbA1c level (Q1, 3.0–5.1%; Q2, 5.2–5.3%; Q3, 5.4%; Q4, 5.5–5.6%, Q5, 5.7–6.4%). Cancer-related mortality was determined using the mortality data from the Korea National Statistical Office. Participants with an established diagnosis of diabetes or cancer were excluded. Cancer-related mortality was assessed depending on each HbA1c level with adjustment for factors that could influence mortality. Results: A total of 589,457 participants were included in this study. During a median follow-up duration of 6.99 years, 1712 cancer-related deaths were reported. The risk of cancer-related mortality was significantly higher in the Q5 group (hazard ratio (HR) 1.23, range 1.02–1.47 in model 1; HR 1.25, range 1.04–1.50 in model 2). HbA1c levels were linearly associated with cancer-related deaths (Ptrend = 0.021 in model 1; 0.013 in model 2). HbA1c level and colorectal, stomach, and lung cancer mortality exhibited a positive relationship, whereas liver cancer-related mortality showed an inverse relationship with HbA1c level (Ptrend = 0.001). Conclusions: Our study showed that abnormal glucose metabolism is significantly associated with cancer-related mortality, and its relationship varies with each type of cancer

Patterns of Research Output Produced by Scholarly Communities in Korea

Open Access is a new trend in the scholarly communication paradigm. The purpose of our study is to identify this new trend, to develop a model by subject areas of open-accessbased knowledge/information flow, and to further seek a way to facilitate the communication process in scholarly communities in Korea. To this end, types of research outputs that are produced as a result of R&D activities are reported here. Also, research patterns and levels of understanding toward information sharing are investigated. Data are collected through surveys, in-depth interviews, as well as telephone interviews. The survey population consists of registered KISTI customers; and, the major areas of analysis include the types of research outputs, publishing objectives, awareness on copyrights, information sharing, preservation of information, and the respondents' opinions and experiences of trusted-digital archives.Includes: Conference preprint, Powerpoint presentation, Abstract and Biographical notes, Pratt student commentaryXAInternationa