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Journal articles on the topic 'Online databases'

Author: Grafiati

Published: 4 June 2021

Last updated: 15 June 2025

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1

x, Tejasree, and J. Velmurugan. "Extraction of Knowledge from Online Databases." International Journal of Scientific Engineering and Research 2, no. 8 (2014): 43–46. https://doi.org/10.70729/j2013352.

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Babu, P. Ajay, Radha Boddepalli, V. Vasantha Lakshmi, and G. Nageswara Rao. "DoD: Database of Databases – Updated Molecular Biology Databases." In Silico Biology: Journal of Biological Systems Modeling and Multi-Scale Simulation 5, no. 5-6 (2005): 605–10. https://doi.org/10.3233/isb-00214.

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Database of Databases (DoD) is a collection of molecular biology databases extracted from Nucleic Acids Research, 2005 Database issue. DoD is constructed using javascript and html code. The 14 categories of 719 databases are provided with a search option, keyword help and database description linked to respective pages. Keyword help lists the search strings used to perform an individual search against categorized databases. Database description provides brief information about the database with a link to full-text article and main web page. DoD is available online and can be accessed at http://www.progenebio.in/DoD/DoD.htm.

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3

Maman, Lill. "Online Agricultural Databases." BioScience 36, no. 1 (1986): 48–50. http://dx.doi.org/10.2307/1309797.

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Muir, Nancy L. "Using online databases." American Journal of Health-System Pharmacy 46, no. 9 (1989): 1767–68. http://dx.doi.org/10.1093/ajhp/46.9.1767.

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5

Siti Lutfia Hutabarat, Fildzah Hani, Ella Trafera Mesyah, Edi Rahmadani, and Nurbaiti Nurbaiti. "Pemanfaatan Database Online Perpustakaan Universitas Islam Negeri Sumatera Utara Sebagai Sumber Informasi Bagi Pemustaka." Jurnal Sistem Informasi dan Ilmu Komputer 1, no. 3 (2023): 27–33. http://dx.doi.org/10.59581/jusiik-widyakarya.v1i3.796.

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The North Sumatra State Islamic University Library has developed an online database system to store and share information resources with users. This article discusses the use of the online database provided by UIN SU Library as a source of information for users. Utilization of online databases can provide several advantages for users, such as easy and fast access to various sources of information, flexibility to access databases from anywhere and anytime, and the availability of complete and up-to-date information resources. The online database of UIN SU Library includes various types of information sources, such as electronic books, electronic journals, theses, dissertations, and other digital collections. Research objectives in abstract journals utilizing online databases may vary depending on the focus and scope of the research being conducted. However, some of the general goals of online database utilization research are to understand users' use of online databases, evaluate the quality and effectiveness of online databases, and increase the use of online databases for specific purposes. The research methodology in the abstract of online database utilization journals usually includes several stages, namely identification of research objectives, data collection, analysis of database use, evaluation of database quality and interpretation of results.

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Shultz, Suzanne M. "Beyond the Online Databases." Medical Reference Services Quarterly 9, no. 2 (1990): 41–60. http://dx.doi.org/10.1300/j115v09n02_03.

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7

Sockut, Gary H., and Balakrishna R. Iyer. "Online reorganization of databases." ACM Computing Surveys 41, no. 3 (2009): 1–136. http://dx.doi.org/10.1145/1541880.1541881.

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&NA;. "Searching online databases effectively." Nursing 36, no. 1 (2006): 73. http://dx.doi.org/10.1097/00152193-200601000-00054.

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Rowe, Judith. "Directory of online databases." Government Publications Review 12, no. 3 (1985): 260–61. http://dx.doi.org/10.1016/0277-9390(85)90030-5.

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Driscoll, Carolyn, Anne Cashion, Yvette Conley, Ramin Homayouni, and Lijing Xu. "Demystifying Online Genetic Databases." Nursing and Health Sciences 8, no. 2 (2006): 125. http://dx.doi.org/10.1111/j.1442-2018.2006.00272_2.x.

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Lois Mai Chan. "Directory of online databases." Information Processing & Management 22, no. 2 (1986): 173–75. http://dx.doi.org/10.1016/0306-4573(86)90125-1.

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12

Voigt, Kristina, and Rainer Brüggemann. "Toxicology databases in the metadatabank of online databases." Toxicology 100, no. 1-3 (1995): 225–40. http://dx.doi.org/10.1016/0300-483x(95)03092-t.

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13

van Brakel, Pieter A. "Teaching online searching in a LAN environment." Electronic Library 11, no. 4/5 (1993): 289–93. http://dx.doi.org/10.1108/eb045248.

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Tertiary programmes for teaching online searching consist typically of the components of an online search system, different categories of databases, overview of database hosts and their search facilities, methods to create search strategies and command languages, to name but a few. Practical experience, an integral component, is gained by searching interactively on one or more database hosts, where the emphasis is on search techniques rather than the intrinsic characteristics of the databases of the specific system. The extent of students' hands‐on experience invariably depends on the teaching unit's budget, which may preclude extensive ‘live’ exposure. However, the technical facilities and shared resources of a local area network (LAN) are likely to have a significant effect on the traditional teaching methods of online searching. It is now possible, in a LAN environment, to integrate the various information retrieval activities, for example creating and searching personal or local databases, utilising these for indexing, abstracting and thesaurus building, searching locally on CDROM databases which simulate the search facilities and command languages of commercial database hosts and, when the need arises, accessing their external ‘online’ counterparts. This article will demonstrate how the limited concept of ‘online searching’ is broadened when a LAN and local databases are utilised in the online teaching process.

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14

Lutes, Barbara. "Using online databases for terminology searching." Terminology 2, no. 2 (1995): 187–217. http://dx.doi.org/10.1075/term.2.2.02lut.

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Online bibliographic databases would seem to be a promising source of multilingual terminology for translators, terminologists, and other language professionals, although not designed for this purpose. This paper will explore this hypothesis, discussing the types and degree of multilingualism in representative databases, the different information-seeking needs of language professionals, and describing search strategies which can be used for term look-up. Results of extensive trial searching and some in-depth examples will be used to assess the practical feasibility of this use of databases, with special attention paid to reliability. Results of trial searching were generally positive, although cost might prove prohibitive. Using bibliographic databases may be particularly useful in solving difficult terminological problems for which context information is essential. Annex 1 provides information on a selection of useful multilingual online databases; annex 2 lists addresses of selected online database providers.

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R, Velvizhi, and Jayapriya D. "Decoupling Online Algorithms from Symmetric Encryption in Hierarchical Databases." Journal of Advanced Research in Dynamical and Control Systems 11, no. 0009-SPECIAL ISSUE (2019): 1004–9. http://dx.doi.org/10.5373/jardcs/v11/20192664.

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Kelly, Erin E. "Online Databases: A Review Essay." Early Modern Women: An Interdisciplinary Journal 4 (September 1, 2009): 259–63. http://dx.doi.org/10.1086/emw23541589.

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17

Mihrani, Danielle. "Online databases and book preservation." College & Research Libraries News 49, no. 3 (2020): 152–55. http://dx.doi.org/10.5860/crln.49.3.152.

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Welsch, Erwin K., Eleanor Rodini, and Victoria Hill. "Access to European Online Databases." Reference Librarian 16, no. 35 (1992): 95–117. http://dx.doi.org/10.1300/j120v16n35_07.

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Anderson, Barbara E. "Ready Reference Using Online Databases." Reference Librarian 6, no. 15 (1987): 225–35. http://dx.doi.org/10.1300/j120v06n15_23.

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20

Ellis, D. "Online management and marketing databases." International Journal of Information Management 10, no. 1 (1990): 80–82. http://dx.doi.org/10.1016/0268-4012(90)90061-v.

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21

Jensen, J., and G. Woodfin. "Relational databases create online publications." IEEE Communications Magazine 35, no. 6 (1997): 152–55. http://dx.doi.org/10.1109/35.587721.

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Mahesh, Nandkumar Gaikwad. "Online Databases: A State-of-The-Art Literature Review." International Journal of Advance and Applied Research 10, no. 1 (2022): 504 to 515. https://doi.org/10.5281/zenodo.7205152.

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<em>With the introduction of ICT the </em><em>libraries are shifting their role from the custodian of traditional information resources to the provider of service-oriented digital information resources. </em><em>All the library activities have changed the way from traditional to digital. In these context e-resources plays important role for the academicians especially after the pandemic. A new way of searching information became also exposure with the introduction of online databases. Online database is a product of information retrieval services provided by producers of online databases in which searches are carried out by means of a local computer that interacts with far-off systems containing information contents. A large number of publications by various authors at national and international level reflect the interest in online databases. Reviews of literature on Online Databases have been done in the past by a few authors. </em><em>In the present investigation the researcher has made an attempt to highlight these selected review of literature published on online databases and authored by Indian and foreign authors.</em> <em>Various views have been given by authors regarding online database through different studies. However, considering the contributions in the recent times, a more comprehensive review is attempted here. The study would help researchers, academicians and practitioners to take a closer look at the awareness, use and applicability of the online databases in academic activity.</em>

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Dr. Saravanan, T, Dr Saravanan, T., and Thangavel, K. Thangavel, K. "Does Internet Literacy Regulate The Users' Online Databases Access Skills?" Indian Journal of Applied Research 1, no. 3 (2011): 132–34. http://dx.doi.org/10.15373/2249555x/dec2011/44.

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24

Blair, Jarrett, Rodger Gwiazdowski, Rodger Gwiazdowski, et al. "Towards a catalogue of biodiversity databases: An ontological case study." Biodiversity Data Journal 8 (March 27, 2020): e32765. https://doi.org/10.3897/BDJ.8.e32765.

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Biodiversity informatics depends on digital access to credible information about species. Many online resources host species' data, but the lack of categorisation for these resources inhibits the growth of this entire field. To explore possible solutions, we examined the (now retired) Biodiversity Information Projects of the World (BIPW) dataset created by the Biodiversity Information Standards (TDWG); this project, which ran from 2007-2015 (officially removed from the TDWG website in 2018) was an attempt at organising the Web's biodiversity databases into an indexed list. To do this, we applied a simple classification scheme to score databases within BIPW based on nine data categories, to characterise trends and current compositions of this biodiversity e-infrastructure. Primarily, we found that of 600 databases investigated from BIPW, only 315 (~53%) were accessible at the time of this writing, underscoring the precarious nature of the biodiversity information landscape. Many of these databases are still available, but suffer accessibility issues such as link rot, thus putting the information they contain in danger of being lost. We propose that a community-driven database of biodiversity databases with an accompanying ontology could facilitate efficient discovery of relevant biodiversity databases and support smaller databases – which have the greatest risk of being lost.

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25

Jansen, Arnold A. J. "Towards a new pricing structure for online databases." Journal of Information Science 10, no. 3 (1985): 125–30. http://dx.doi.org/10.1177/016555158501000304.

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The majority of database producers in the science and technology market charge for the use of their databases on the basis of time. Their users are billed according to the time they actually spend searching and printing the database online which has no reflection on the true cost of the information. The real-time charging mechanism was established, when 300 baud terminals were the standard. Today microcomputers and 1200 baud modems are becoming increasingly more important, sig nificantly reducing the time required online and thus the sales price of the search. The current system of pricing databases will be difficult to maintain in the future, as the trend towards improved hardware and sharer connect time increases. Chang ing the system, however, will be difficult. A typical database producer receives about 80 percent of online revenue from the sale of connect hours. To switch from time charges to an alternative such as unit charges will not be easy. The author analyses the problem and offers a number of possible scenarios.

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26

McLean, Stuart, Michael B. Spring, Edie Rasmussen, and James G. Williams. "Online image databases: usability and performance." Electronic Library 13, no. 1 (1995): 27–42. http://dx.doi.org/10.1108/eb045334.

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27

King, Carol, and Charles Oppenheim. "MARKETING OF ONLINE AND CDROM DATABASES." Online and CD-Rom Review 18, no. 1 (1994): 15–26. http://dx.doi.org/10.1108/eb024473.

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28

Eurich, Chris, Peter A. Fields, and Elizabeth Rice. "Proteomics: Protein Identification Using Online Databases." American Biology Teacher 74, no. 4 (2012): 250–55. http://dx.doi.org/10.1525/abt.2012.74.4.8.

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Proteomics is an emerging area of systems biology that allows simultaneous study of thousands of proteins expressed in cells, tissues, or whole organisms. We have developed this activity to enable high school or college students to explore proteomic databases using mass spectrometry data files generated from yeast proteins in a college laboratory course. Students upload files of “unknown” proteins from our public website, enter them into a proteomics search engine (Mascot), identify the proteins, and use additional proteomics websites to learn about their functions and three-dimensional structures. This activity is suitable for use in units exploring protein structure and function, metabolism, or bioinformatics.

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29

Reekie, A. F. "The European commission's online public databases." Journal of Government Information 22, no. 1 (1995): 33–43. http://dx.doi.org/10.1016/1352-0237(94)00038-q.

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30

Tulis, Susan E. "Legal databases online: LEXIS and WESTLAW." Government Publications Review 13, no. 2 (1986): 288–89. http://dx.doi.org/10.1016/0277-9390(86)90014-2.

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31

Foster, Allan. "Online numeric databases : four years later." Business Information Review 5, no. 3 (1989): 3–12. http://dx.doi.org/10.1177/026638218900500302.

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32

Bentayeb, Fadila, Jerome Darmont, Cecile Favre, and Cedric Udrea. "Efficient online mining of large databases." International Journal of Business Information Systems 2, no. 3 (2007): 328. http://dx.doi.org/10.1504/ijbis.2007.011983.

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Peruzzi, Lorenzo, and Gianni Bedini. "Online resources for chromosome number databases." Caryologia 67, no. 4 (2014): 292–95. http://dx.doi.org/10.1080/0144235x.2014.974358.

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34

Rigden, Daniel J., and Xosé M. Fernández. "The 2021 Nucleic Acids Research database issue and the online molecular biology database collection." Nucleic Acids Research 49, no. D1 (2020): D1—D9. http://dx.doi.org/10.1093/nar/gkaa1216.

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Abstract The 2021 Nucleic Acids Research database Issue contains 189 papers spanning a wide range of biological fields and investigation. It includes 89 papers reporting on new databases and 90 covering recent changes to resources previously published in the Issue. A further ten are updates on databases most recently published elsewhere. Seven new databases focus on COVID-19 and SARS-CoV-2 and many others offer resources for studying the virus. Major returning nucleic acid databases include NONCODE, Rfam and RNAcentral. Protein family and domain databases include COG, Pfam, SMART and Panther. Protein structures are covered by RCSB PDB and dispersed proteins by PED and MobiDB. In metabolism and signalling, STRING, KEGG and WikiPathways are featured, along with returning KLIFS and new DKK and KinaseMD, all focused on kinases. IMG/M and IMG/VR update in the microbial and viral genome resources section, while human and model organism genomics resources include Flybase, Ensembl and UCSC Genome Browser. Cancer studies are covered by updates from canSAR and PINA, as well as newcomers CNCdatabase and Oncovar for cancer drivers. Plant comparative genomics is catered for by updates from Gramene and GreenPhylDB. The entire Database Issue is freely available online on the Nucleic Acids Research website (https://academic.oup.com/nar). The NAR online Molecular Biology Database Collection has been substantially updated, revisiting nearly 1000 entries, adding 90 new resources and eliminating 86 obsolete databases, bringing the current total to 1641 databases. It is available at https://www.oxfordjournals.org/nar/database/c/.

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Jiwa, Nawazali Alibhai. "Towards an Online Searchable Bibliographic Database for Ism???l? Studies." Theological Librarianship 11, no. 1 (2018): 37–50. http://dx.doi.org/10.31046/tl.v11i1.478.

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Research in the field of Ism???l? Studies has increased exponentially during the last decades. However, all of the existing bibliographies in the field are print-based which lack the efficient and effective searchability offered by online bibliographic databases. This paper explores some ideas towards creating an online searchable database dedicated exclusively to Ism???l? Studies. It covers elements of an ideal database such as search features, subject headings, linking, metadata, abstracting, and indexing. Moreover, it provides the rationale for a specialized disciplinary database, as opposed to using multi - or interdisciplinary databases to conduct research in Ism???l? Studies. The database can serve as a model for theological libraries that wish to implement a similar disciplinary database for others areas of research in theological and religious studies.

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Clauson, Kevin A., Hyla H. Polen, Amy S. Peak, Wallace A. Marsh, and Sandra L. DiScala. "Clinical Decision Support Tools: Personal Digital Assistant versus Online Dietary Supplement Databases." Annals of Pharmacotherapy 42, no. 11 (2008): 1592–99. http://dx.doi.org/10.1345/aph.1l297.

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Background: Clinical decision support tools (CDSTs) on personal digital assistants (PDAs) and online databases assist healthcare practitioners who make decisions about dietary supplements. Objective: To assess and compare the content of PDA dietary supplement databases and their online counterparts used as CDSTs. Methods: A total of 102 question-and-answer pairs were developed within 10 weighted categories of the most clinically relevant aspects of dietary supplement therapy. PDA versions of AltMedDex. Lexi-Natural, Natural Medicines Comprehensive Database, and Natural Standard and their online counterparts were assessed by scope (percent of correct answers present), completeness (3-point scale), ease of use, and a composite score integrating all 3 criteria. Descriptive statistics and inferential statistics, including a χ2 test, Scheffé's multiple comparison test, McNemar's test, and the Wilcoxon signed rank test were used to analyze data. Results: The scope scores for PDA databases were: Natural Medicines Comprehensive Database 84.3%, Natural Standard 58.8%, Lexi-Natural 50.0%, and AltMedDex 36.3%, with Natural Medicines Comprehensive Database statistically superior (p < 0.01). Completeness scores were; Natural Medicines Comprehensive Database 78.4%, Natural Standard 51.0%, Lexi-Natural 43.5%, and AltMedDex 29.7%. Lexi-Natural was superior in ease of use (p < 0.01). Composite scores for PDA databases were: Natural Medicines Comprehensive Database 79.3, Natural Standard 53.0, Lexi-Natural 48.0, and AltMedDex 32.5, with Natural Medicines Comprehensive Database superior (p < 0.01). There was no difference between the scope for PDA and online database pairs with Lexi-Natural (50.0% and 53.9%, respectively) or Natural Medicines Comprehensive Database (84.3% and 84.3%, respectively) (p > 0.05), whereas differences existed for AltMedDex (36.3% vs 74.5%, respectively) and Natural Standard (50.8% vs 80.4%, respectively) (p < 0.01). For composite scores, AltMedDex and Natural Standard online were better than their PDA counterparts (p < 0.01). Conclusions: Natural Medicines Comprehensive Database achieved significantly higher scope, completeness, and composite scores compared with other dietary supplement PDA CDSTs in this study. There was no difference between the PDA and online databases for Lexi-Natural and Natural Medicines Comprehensive Database, whereas online versions of AltMedDex and Natural Standard were significantly better than their PDA counterparts.

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Xie, Hong (Iris). "Online IR system evaluation: online databases versus Web search engines." Online Information Review 28, no. 3 (2004): 211–19. http://dx.doi.org/10.1108/14684520410543652.

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38

Laksmita, Nadea Cipta, Erwin Apriliyanto, I. Wayan Pandu, and Kusrini Rini. "Comparison of NoSQL Database Performance with SQL Server Database on Online Airplane Ticket Booking." Indonesian Journal of Applied Informatics 4, no. 2 (2020): 64. http://dx.doi.org/10.20961/ijai.v4i2.38956.

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<em>Flight ticket booking services have become more advanced, where bookings can be made through the android / iOS application and through a web browser, ticket reservations, no longer have to come to travel agents or come to the airport to book plane tickets. In this study using an online ticket booking database where one database uses the NoSQL database and another database uses SQL Server. The purpose of this research is to test the performance of NoSQL speed with SQL Server with the Insert, Delete and Select commands. The testing method uses 100 records, 500 records, 1000 records, and 5000 records, with each record being tested four times and then taken on average. The results of this study are that the NoSQL database Insert command has a speed 4 times faster than the SQL Server database for under 500 records, whereas above 500 NoSQL database records 5 times slower, the Delete NoSQL database command has a speed 3 times faster than the SQL database Server, and the command Select 1 NoSQL database table 55 times faster than SQL Server databases, while 2 NoSQL database tables are 18 times slower than SQL Server databases, while 3 NoSQL database tables are 10 times slower than SQL Server databases, whereas 4 database tables NoSQL is 16 times slower than SQL Server databases.</em>

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Rapolu, Naresh Kumar. "MIGRATION OF LEGACY DATABASE ORACLE/MS SQL TO HANA DATABASE TO IMPROVE REAL-TIME ONLINE ANALYTICAL PROCESSING AND ONLINE TRANSACTION PROCESSING FROM ONE DATA MODEL." International Scientific Journal of Engineering and Management 02, no. 03 (2023): 1–7. https://doi.org/10.55041/isjem00215.

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The following research project has explored the vitality of the migration of legacy databases, specifically Oracle with MS SQL to the HANA database. This has been effective to improve the possibilities of real-time online analytical and transaction processing. It has emerged to be ethical to migrate the challenges faced while migrating to the HANA database with efficient approaches like the development of a migration plan and proposing a comprehensive assessment of existing data structures. This has paved the path for transitioning HANA databases for streamlining data management of data models. Keywords: SAP HANA, Real-Time Online Analytical Processing, Database Migration, OLAP, OLTP, Data Models

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Ficklin, S. P., L. A. Sanderson, C. H. Cheng, et al. "Tripal: a construction toolkit for online genome databases." Database 2011 (September 29, 2011): bar044. http://dx.doi.org/10.1093/database/bar044.

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Zulkifli, Z., E. Salwana, A. A. Salahuddin, and N. H. M. Daud. "The effect of information seeking behavior on online database usage among the undergraduate students." International Review of Applied Sciences and Engineering 10, no. 2 (2019): 193–206. http://dx.doi.org/10.1556/1848.2019.0023.

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Every year the library of IIUM subscribes to quite a number of online databases with huge expenses but the utilization of these databases is countable. 10 out of 53 subscriptions have been terminated by 2015 to save the cost go in vain. The purpose of this paper is to develop a model based on the ISB elements to identify the reason behind this low usage and to increase the usage of online databases in the future. It has undertaken a quantitative approach to identify the elements of ISB among undergraduate (UG) students. The primary data has been collected through questionnaires based on the variables identified in the objective. There are 118 samples participating in this research and the proposed model has been adapted from Savolainen and Wilson. Psychological perception, searching strategies and the information resources have been considered as the independent variable and measured the usage of the online database among UG students as the dependent variable. The results have shown that there are seven elements which have an influence on the usage of the online database among IIUM UG students. Despite the limited number of samples and a specific group of students, the proposed model can enhance the usage of online database system subscribed to by IIUM library and a search engine can be developed to get the usage increased. In that sense, it is recommended to involve more participants from the different levels of students and users to get diverse elements of ISB. However, the paper contributes to bridging the gap between the online database usage and the users, believed to have an effective outcome for online database subscription. It is hoped that the proposed model would significantly fill this gap and help the library to increase the number of users for their expensive databases.

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42

Kim, Hyun-Kyung. "Re-examination of database rights - Focused on the revision trend of EUcases (CV-Online Latvia v Melons) and EU Database Directive -." Korea Copyright Commission 139 (September 30, 2022): 29–67. http://dx.doi.org/10.30582/kdps.2022.35.3.29.

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Even in Europe, where database rights(Sui Generis Database Rights) were first created, questions about the utility of these rights have been raised and discussions for revision is going on. We, who benchmarked these European cases at the time, also need to pay attention to the changes in EU. Therefore, in this study, the problems of the database rights were analyzed and future improvement tasks were derived. The results of the s tudy a re a s follows. First, the EU is changing the criteria for judging database rights infringement through the CJEU decision. In order to accommodate the innovation of data, the creation of added value through reuse of users and competitors and the possibility of innovation are accepted as the criteria for judging infringement. We also need to take this into account in our “significant investment” and “determination of infringement”. Second, it is necessary to think about the extension of the exception range of the database right. In Europe, through a separate legislative measure called the Data Act, a wide range of exceptions are being allowed by excluding the database right for databases acquired or created by the use of products or services. This is premised on the premise that the establishment and utilization of databases in various artificial intelligence services, including IoT, is essential anyway, so there is no need to induce investment by guaranteeing sui generis rights. As such, in certain cases, it is necessary to review the introduction of regulations that restrict database rights. Third, like public works, free use of public databases needs to be introduced. Public databases are already trying to create added value through private use through other individual laws. In addition, it is questionable whether the criteria for judging infringement, such as ‘significant investment’ and ‘risk of recovery of investment’, can be applied to the act of creating a database funded by the state finances. Therefore, it is necessary to review the introduction of database rights restrictions on public works.

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43

Rigden, Daniel J., and Xosé M. Fernández. "The 2023 Nucleic Acids Research Database Issue and the online molecular biology database collection." Nucleic Acids Research 51, no. D1 (2023): D1—D8. http://dx.doi.org/10.1093/nar/gkac1186.

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Abstract The 2023 Nucleic Acids Research Database Issue contains 178 papers ranging across biology and related fields. There are 90 papers reporting on new databases and 82 updates from resources previously published in the Issue. Six more papers are updates from databases most recently published elsewhere. Major nucleic acid databases reporting updates include Genbank, ENA, ChIPBase, JASPAR, mirDIP and the Issue's first Breakthrough Article, NACDDB for Circular Dichroism data. Updates from BMRB and RCSB cover experimental protein structural data while AlphaFold 2 computational structure predictions feature widely. STRING and REBASE are stand-out updates in the signalling and enzymes section. Immunology-related databases include CEDAR, the second Breakthrough Article, for cancer epitopes and receptors alongside returning IPD-IMGT/HLA and the new PGG.MHC. Genomics-related resources include Ensembl, GWAS Central and UCSC Genome Browser. Major returning databases for drugs and their targets include Open Targets, DrugCentral, CTD and Pubchem. The EMPIAR image archive appears in the Issue for the first time. The entire database Issue is freely available online on the Nucleic Acids Research website (https://academic.oup.com/nar). The NAR online Molecular Biology Database Collection has been updated, revisiting 463 entries, adding 92 new resources and eliminating 96 discontinued URLs so bringing the current total to 1764 databases. It is available at http://www.oxfordjournals.org/nar/database/c/.

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Kolomiyets, Svitlana V. "Meteor Databases in Astronomy." Proceedings of the International Astronomical Union 12, S325 (2016): 389–92. http://dx.doi.org/10.1017/s1743921317000527.

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AbstractThere are specific problems of databases in meteor science such as making meteor databases into the modern research tools. Special institutes and virtual observatories exist for the meteor data storage where the data is online and in open access. However, there are also numerous databases without the open access, such as for example, three radar databases: Kharkiv database with 250,000 meteor orbits in Ukraine, New Zealand database with 500,000 meteor orbits, and Canadian database with more than 3 million meteor orbits. One of the reasons the open access is absent for these databases could be the complexity in the copyright compliance. In the framework of the creation of the modern effective research tool in the meteor science, we discuss here the case of the Kharkiv meteor database.

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Blouin, Deborah K. "Review of Women Online: Research in Women's Studies Using Online Databases." Contemporary Psychology: A Journal of Reviews 37, no. 7 (1992): 717. http://dx.doi.org/10.1037/032388.

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Armstrong, C. J., and A. Wheatley. "Writing abstracts for online databases: results of an investigation of database producers’ guidelines." Program 32, no. 4 (1998): 359–71. http://dx.doi.org/10.1108/eum0000000006905.

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Selama, Okba, Phillip James, Farida Nateche, Elizabeth M. H. Wellington, and Hocine Hacène. "The World Bacterial Biogeography and Biodiversity through Databases: A Case Study of NCBI Nucleotide Database and GBIF Database." BioMed Research International 2013 (2013): 1–11. http://dx.doi.org/10.1155/2013/240175.

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Databases are an essential tool and resource within the field of bioinformatics. The primary aim of this study was to generate an overview of global bacterial biodiversity and biogeography using available data from the two largest public online databases, NCBI Nucleotide and GBIF. The secondary aim was to highlight the contribution each geographic area has to each database. The basis for data analysis of this study was the metadata provided by both databases, mainly, the taxonomy and the geographical area origin of isolation of the microorganism (record). These were directly obtained from GBIF through the online interface, whileE-utilitiesandPythonwere used in combination with a programmatic web service access to obtain data from the NCBI Nucleotide Database. Results indicate that the American continent, and more specifically the USA, is the top contributor, while Africa and Antarctica are less well represented. This highlights the imbalance of exploration within these areas rather than any reduction in biodiversity. This study describes a novel approach to generating global scale patterns of bacterial biodiversity and biogeography and indicates that theProteobacteriaare the most abundant and widely distributed phylum within both databases.

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LaBare, Kelly M., R. Lawrence Klotz, and Eric Witherow. "Using Online Databases to Teach Ecological Concepts." American Biology Teacher 62, no. 2 (2000): 124–27. http://dx.doi.org/10.2307/4450851.

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Puterbaugh, Mary N., and J. Gordon Burleigh. "Investigating Evolutionary Questions Using Online Molecular Databases." American Biology Teacher 63, no. 6 (2001): 422–31. http://dx.doi.org/10.2307/4451149.

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LaBare, Kelly M., R. Lawrence Klotz, and Eric Witherow. "Using Online Databases To Teach Ecological Concepts." American Biology Teacher 62, no. 2 (2000): 124–27. http://dx.doi.org/10.1662/0002-7685(2000)062[0124:uodtte]2.0.co;2.

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