scholarly journals Research libraries as digital publishers: The foreign experience

2021 ◽  
pp. 149-166
Author(s):  
T. E. Savitskaya
Keyword(s):  
Digital Publishing ◽  
Scientific Data ◽  
Science Data ◽  
Digital Collections ◽  
Research Libraries ◽  
Scientific Data Management ◽  
Content Selection ◽  
Foreign Countries ◽  
Library Studies ◽  
Publishing Services

The author discusses the current experience of building the service of digital science publishing obtained by the libraries in the Western countries. She emphasizes that this process is incorporated into further informatization of libraries and their increasing role in managing science data. The digital publications integrate a number of interrelated programs comprising the whole cycle of scientific data management accomplished within the wider context of innovations. Digital publishing is a new type of library activities; it requires integrating competences of modern librarians (i.e. content selection, data supervising, metadata management, building digital collections, their preservation and archiving) and publishers (monitoring new trends in science and technology, selecting materials for publication, abstracting, scientific editing, developing marketing strategies).For the first time in the domestic library studies, the dynamics of this service in foreign countries is examined based on Library Publishing Directory for 2013– 2018. The author compares digital publishing services in four university libraries in different world regions and offers the findings of preliminary analysis of online publication services in foreign research libraries.

scholarly journals Several Factors of Library Publishing Services Facilitate Scholarly Communication Functions

2012 ◽  
Vol 7 (4) ◽  
pp. 108
Author(s):  
Leslie Bussert
Keyword(s):  
Knowledge Sharing ◽  
Peer Review ◽  
Scholarly Communication ◽  
Digital Publishing ◽  
Academic Community ◽  
Scholarly Publishing ◽  
Communication Process ◽  
Research Libraries ◽  
Facilitating Factors ◽  
Publishing Services

Objective – To identify and examine the factors of library publishing services that facilitate scholarly communication. Design – Analysis of library publishing service programs. Setting – North American research libraries. Subjects – Eight research libraries selected from the signatories for the Compact for Open-Access Publishing Equity (COPE) Cornell University Library’s Center for Innovative Publishing; Dartmouth College Library’s Digital Publishing Program and Scholars Portal Project; MIT Libraries’ Office of Scholarly Publishing and Licensing; Columbia University Libraries’ Center for Digital Research and Scholarship; University of Michigan Library’s Scholarly Publishing Office; Duke University Library’s Office of Scholarly Communications; University of Calgary Libraries and Cultural Resources’ Centre for Scholarly Communication; and Simon Fraser University Library’s Scholarly Publishing. Methods – The authors used Roosendaal and Geurt’s (1997) four functions of scholarly communication to analyze and categorize library publishing services provided by libraries included in the study. The four functions of scholarly communication include registration, certification, awareness, and archiving. Main Results – Analysis of the registration functions provided by library publishing services in this study revealed three types of facilitating factors: intellectual property, licensing, and publishing. These include services such as repositories for digital scholarly work and research, ISBN/ISSN registration, and digital publishing. Analysis of archiving functions demonstrated that most programs in the study focus on repository-related services in support of digital content preservation of papers, datasets, technical reports, etc. Analysis of certification functions provided by these services exposed a focus on expert review and research support. These include services like professional assessment of information sources, consultation on appropriate literature and information-seeking tools, and writing or copyright advisory services. Analysis of awareness function showed search aids and knowledge-sharing platforms to be the main facilitating factors. These include services like metadata application, schema, and standards or scholarly portals enabling knowledge-sharing among scholars. Conclusion – This study identified several services offered by these library publishing programs which can be categorized as facilitators under Roosendaal and Geurt’s (1997) four functions of scholarly communication. The majority of the libraries in the study treated library publishing services as part of broader scholarly communication units or initiatives. Digital publishing (registration function) was offered by all programs analyzed in the study, while traditional peer-review services (certification function) were not. Widely adopted among programs in the study were the use of social networking tools (awareness function) and self-publishing (archiving function). The authors recommend developing services that facilitate peer review and assert the need to provide a knowledge-sharing mechanism within the academic community that facilitates the scholarly communication process.

scholarly journals Best Paper Selection

2017 ◽  
Vol 26 (01) ◽  
pp. 212-213
Keyword(s):  
Logistic Regression ◽  
Private Information ◽  
Statistical Models ◽  
Heart Sound ◽  
Information Leakage ◽  
Scientific Data ◽  
Training Data ◽  
Genotype Data ◽  
Scientific Data Management ◽  
Heart Sound Segmentation

Agarwal V, Podchiyska T, Banda JM, Goel V, Leung TI, Minty EP, Sweeney TE, Gyang E, Shah NH. Learning statistical models of phenotypes using noisy labeled training data. J Am Med Inform Assoc 2016;23(6):1166-73 https://academic.oup.com/jamia/article-lookup/doi/10.1093/jamia/ocw028 Harmanci A, Gerstein M. Quantification of private information leakage from phenotype-genotype data: linking attacks. Nat Methods 2016;13(3):251-6 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4834871/ Pfiffner PB, Pinyol I, Natter MD, Mandl KD. C3-PRO: Connecting ResearchKit to the Health System Using i2b2 and FHIR. PloS One 2016;11(3):e0152722 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4816293/ Wilkinson MD, Dumontier M, Aalbersberg IJJ, Appleton G, Axton M, Baak A, Blomberg N, Boiten JW, da Silva Santos LB, Bourne PE, Bouwman J, Brookes AJ, Clark T, Crosas M, Dillo I, Dumon O, Edmunds S, Evelo CT, Finkers R, Gonzalez-Beltran A, Gray AJ, Groth P, Goble C, Grethe JS, Heringa J, ‘t Hoen PA, Hooft R, Kuhn T, Kok R, Kok J, Lusher SJ, Martone ME, Mons A, Packer AL, Persson B, Rocca-Serra P, Roos M, van Schaik R, Sansone SA, Schultes E, Sengstag T, Slater T, Strawn G, Swertz MA, Thompson M, van der Lei J, van Mulligen E, Velterop J, Waagmeester A, Wittenburg P, Wolstencroft K, Zhao J, Mons B. The FAIR Guiding Principles for scientific data management and stewardship. Sci Data 2016;3:160018 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4792175/ Springer DB, Tarassenko L, Clifford GD. Logistic regression-HSMM-based heart sound segmentation. IEEE Trans Biomed Eng 2016 Apr;63(4):822-32

Comparing mathematical and heuristic approaches for scientific data analysis

2007 ◽  
Vol 22 (1) ◽  
pp. 53-69 ◽  
Author(s):  
Aparna S. Varde ◽  
Shuhui Ma ◽  
Mohammed Maniruzzaman ◽  
David C. Brown ◽  
Elke A. Rundensteiner ◽  
...  
Keyword(s):  
Mathematical Models ◽  
Data Storage ◽  
Materials Science ◽  
Scientific Data ◽  
Estimation Problem ◽  
Predictive Analysis ◽  
Heuristic Methods ◽  
Science Data ◽  
Domain Specific ◽  
Computational Estimation

AbstractScientific data is often analyzed in the context of domain-specific problems, for example, failure diagnostics, predictive analysis, and computational estimation. These problems can be solved using approaches such as mathematical models or heuristic methods. In this paper we compare a heuristic approach based on mining stored data with a mathematical approach based on applying state-of-the-art formulae to solve an estimation problem. The goal is to estimate results of scientific experiments given their input conditions. We present a comparative study based on sample space, time complexity, and data storage with respect to a real application in materials science. Performance evaluation with real materials science data is also presented, taking into account accuracy and efficiency. We find that both approaches have their pros and cons in computational estimation. Similar arguments can be applied to other scientific problems such as failure diagnostics and predictive analysis. In the estimation problem in this paper, heuristic methods outperform mathematical models.

Towards Archaeo-informatics: Scientific Data Management for Archaeobiology

2010 ◽  
pp. 169-177 ◽  
Author(s):  
Hans-Peter Kriegel ◽  
Peer Kröger ◽  
Christiaan Hendrikus van der Meijden ◽  
Henriette Obermaier ◽  
Joris Peters ◽  
...  
Keyword(s):  
Data Management ◽  
Scientific Data ◽  
Scientific Data Management

A Model-Based Mediator System for Scientific Data Management

2003 ◽  
pp. 335-370 ◽  
Author(s):  
Bertram Ludäscher ◽  
Amarnath Gupta ◽  
Maryann E. Martone
Keyword(s):  
Data Management ◽  
Scientific Data ◽  
Scientific Data Management ◽  
Model Based ◽  
Mediator System
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