Full Text Search Setup on a Website

ntroduction. When implementing the search for text fragments on the site, approaches are used that are different in complexity and performance. There is also a sequence of related tasks: choosing a text indexing option, sending a text for indexing, selecting texts for indexing specifically from the CMS database, choosing a search engine, and others. These approaches do not always provide satisfactory search results. Purpose. The purpose of the article is to the description of existing solutions for full-text search on a website, their advantages, and disadvantages. Development of a full-text search algorithm using the Elasticsearch system. Methods. Analysis of approaches to the implementation of full-text search on a website, varying in complexity and performance. Identification of flaws and vulnerabilities in more primitive approaches and the development of more advanced and complex algorithms that eliminate the identified deficiencies. Step-by-step implementation of full-text search using third-party systems. Results. A method for implementing full-text search using Elasticsearch is described. The advantage of the new approach is the asynchronous sending of the page content and its address to a specific service responsible for communication with Elasticsearch. This allows you not to block the normal work with the CMS and not depend on the availability of the indexing service. The approach described in the article is flexible and adaptable for various website architectures. Asynchronous processing of indexing requests ensures high query execution speed and system fault tolerance. Conclusions. The article discusses various approaches to implementing full-text search on a website, their advantages and disadvantages. Based on the analysis, a more flexible and universal approach to the implementation of a full-text search system has been developed. A solution is proposed with step-by-step implementation and setup of advanced full-text search using Elasticsearch.

Article Keyword Selection

Keyword selection is the second Sudan Journal of Medical Sciences short guidance piece on the international academic standards. As a Section Editor at SJMS, I am honored to be invited to write in this series. In future, I can see SJMS leading the way to improving the publishing standards in Sudan's medical field. And with the current practice and unique services that SJMS provides for their readers and authors, it marks its step to be one of the best regional journals in the discipline. The Importance of Keywords As authors, we aspire to share our work among the readers in our field and get appropriately cited. Here comes the volume for the authors' keywords. The first journey for each manuscript begins with a literature review in which the indexing databases such as Scopus and PubMed are searched for any present work related to our ideas. This ends by the citation of most of those works in our reference list. It is curial to select your keywords so that it acts as a promoter for your work among your colleagues. Apart from being used by the indexing service to classify your work, keywords for the publisher and the editorial board serve as a guidance for choosing the referee for your article and your paper's subject. How to choose your keyword? First, make a list of words from the manuscript, which you believe represents the work's essential idea. They could also be a phrase (e.g., colon cancer). Most researchers use sentences or phrases in search engines. Do not use words from your title, as this will decrease the chances of the article appearing during the logarithmic search. There is also a word generator engine like MeSH on Demand, a google keyword planner. Each journal has its own maximum number of keywords; for SJMS, the number of keywords are specified according to the article types. Next, have a look at the standard term used for indexing in the medical field (MeSH, PsycInfo, and others) and ensure that the keyword of your choice is listed there. Lastly, go through the standard search engine used commonly by professionals in your field and type it to see if the same titles as yours come up. To publish means to be known. I believe each article's minor part deserves the same input as a significant section.

Editorial

We are pleased to bring you a new set of articles covering different aspects of the transborder, transnational phenomena with a focus on marketing and consumption in this seventh volume of Transnational Marketing Journal. The Journal’s content is now listed in Elsevier’s ranking and indexing service SCOPUS. Articles published in the journal from 2018 onwards, now can be found in the SCOPUS database. We have also submitted the content to several other ranking agencies and panels around the world and hoping that the work of our authors, editors, and reviewers to maintain a standard will be acknowledged by more platforms soon. In the last twelve months, Transnational Marketing Journal has supported several specialist conferences, and as a result, an upsurge in the number of articles submitted witnessed. This coincides with the indexing successes mentioned above too.

HIRMEOS – High Integration of Research Monographs in the European Open Science infrastructure

Open Access has matured for journals, but open access uptake in the book market is still delayed, despite the fact that books continue to be the leading publishing format for qualitative social sciences and humanities. HIRMEOS, High Integration of Research Monographs in the European Open Science infrastructure, is a 30-month EU-funded project and tackles the main obstacles of the full integration of important platforms supporting open access monographs and their contents.HIRMEOS will work on innovative services on identification, entities recognition, annotation, and altmetrics, using when possible common standards. These standards are well established in journal publishing, however not common enough yet in book publishing to pave the way for deeper linking of book and journal content or crosslinking of references, entities or usage. HIRMEOS is based upon 5 Open Access book-publishing platforms, OpenEdition Books, OAPEN Library, EKT Open Book Press, Ubiquity Press and Göttingen University Press. During the run of the project these platforms integrate tools for identification, authentication and interoperability (DOI, ORCID, Fundref), for additional information and entity extraction (INRIA (N)ERD), the ability to annotate monographs (Hypothes.is), and gather usage and alternative metric data. HIRMEOS will also enrich the technical capacities of the Directory of Open Access Books (DOAB), a most significant indexing service for open access monographs globally, to receive automated information for ingestion, while it will also develop a structured certification system to document monograph peer-review. The project consortium will develop shared minimum standards for their monograph publications, such that allow the full embedding of technologies and content in the European Science Cloud. Finally, the project will have a catalyst effect in including more disciplines into the Open Science paradigm, widening its boundaries towards the SSH.The poster will give facts and figures aboutthe involved platforms and their catalogues,the types of services to be implemented and the used standards,the expected benefit for the Social Sciences and Humanities playersthe global benefits for the Open Science environment

A Collection of 2,280 Public Domain (CC0) Curated Human Genotypes

Cheap sequencing has driven the proliferation of big human genome data aggregation consortiums, providing extensive reference datasets for genome research. These datasets, however, may come with restrictive terms of use, conditioned by the consent frameworks within which individuals donate their data. Having an aggregated genome dataset with unrestricted use, analogous to public domain licensing, is therefore unusually rare. Yet public domain data is tremendously useful because it allows freedom to perform research with it. This comes with the price of donors surrendering their privacy and accepting the associated risks derived from publishing personal data. Using the Repositive platform (https://repositive.io/?23andMe), an indexing service for human genome datasets, we aggregated all deposited files in public data sources under a CC0 license from 23andMe, a leading Direct-to-Consumer genetic testing service. After downloading 3,137 genotypes, we filtered out those that were incomplete, corrupt or duplicated, ending up with a dataset of 2,280 curated files, each one corresponding to a unique individual. Although the size of this dataset is modest compared to current major genome data aggregation projects, its full access and licensing terms, which allows free reuse without attribution, make it a useful reference pool for validation purposes and control experiments.

What about prestige in gold Open Access publishing – a survey investigating publication patterns of researchers at Swedish universities

Fully gold Open Access (OA) publication channels are still hold to be of inferior quality compared to channels offered by publishers with traditional subscription business models, albeit less and less so. The threat of predatory publishers looms on one side, and on the other most OA publishers haven’t been around to gather prestige for so long. Still, there seems to be a steady advance. For example, OA publication channels may now be found at level two (indexing the channels perceived as having most academic prestige in a certain subject) of the Norwegian Publication Model (NPM).In an earlier survey, I investigated the publication patterns of researchers at Swedish universities with focus on their gold OA publishing in journals. The publication patterns were contrasted with the occurrence of OA journals in NPM. 29 % of the DOAJ journals were present as approved channels in NPM. DOAJ is frequently mentioned as the most comprehensive OA journal indexing service in the world. At level one, 14 % of the listed journals were OA, whereas only 2 % of level two journals were OA. Out of the DOAJ-journals included in NPM, only 1 % made it to level two. This is probably explained by the situation described above; OA journals are often new to the scientific publishing market, and therefore they haven’t had the time to gather academic prestige.The OA journals that researchers at Swedish universities published were almost all of them present in DOAJ. 7 % of these were at level two. This pattern seems to imply that researchers are trying to fulfil demands of OA publishing from funders, while at the same time trying to gather prestige for their own researcher career. This poster aims to further explore these results, with focus on the 7 % journals at level 2. Which journals can be found here, and what is the distribution? Which research subjects are involved?

Dark Research: information content in many modern research papers is not easily discoverable online

Background: Research is published in indexed, online scholarly journals so that published knowledge can be easily found and built upon by others. Most scholars rely on relatively few online indexing service providers to search for relevant scholarly content. It is under-appreciated that the quality of indexing can vary across different journals and that this can have an adverse effect on the quality of research. Objective: In this short paper I compare the recall of commonly used online indexers; Google Scholar, Web of Knowledge, Scopus, Microsoft Academic Search and Mendeley Search against a selection of over 20,000 papers published in two different high-volume journals: PLOS ONE and Zootaxa. Results: When using Google Scholar, content in Zootaxa has low recall for search terms that are known to occur in it, significantly lower than the near-perfect recall of the same terms in PLOS ONE. All other indexers tend to have lower recall than Google Scholar except Scopus which outperformed Google Scholar for recall on Zootaxa searches. I also elaborate why Dark Research is undesirable for optimal scientific progress with some recommendations for change. Conclusion: This research is a basic proof-of-concept which demonstrates that when searching for published scholarly content, relevant studies can remain hidden as ’Dark Research’ in poorly-indexed journals, even despite expertise-informed efforts to find the content. The technological capability to do full text indexing on all modern scholarly journal content certainly exists, it is perhaps just publisher-imposed access-restrictions on content that prevents this from happening.

Dark Research: information content in many modern research papers is not easily discoverable online

Background: Research is published in indexed, online scholarly journals so that published knowledge can be easily found and built upon by others. Most scholars rely on relatively few online indexing service providers to search for relevant scholarly content. It is under-appreciated that the quality of indexing can vary across different journals and that this can have an adverse effect on the quality of research. Objective: In this short paper I compare the recall of commonly used online indexers; Google Scholar, Web of Knowledge, Scopus, Microsoft Academic Search and Mendeley Search against a selection of over 20,000 papers published in two different high-volume journals: PLOS ONE and Zootaxa. Results: When using Google Scholar, content in Zootaxa has low recall for search terms that are known to occur in it, significantly lower than the near-perfect recall of the same terms in PLOS ONE. All other indexers tend to have lower recall than Google Scholar except Scopus which outperformed Google Scholar for recall on Zootaxa searches. I also elaborate why Dark Research is undesirable for optimal scientific progress with some recommendations for change. Conclusion: This research is a basic proof-of-concept which demonstrates that when searching for published scholarly content, relevant studies can remain hidden as ’Dark Research’ in poorly-indexed journals, even despite expertise-informed efforts to find the content. The technological capability to do full text indexing on all modern scholarly journal content certainly exists, it is perhaps just publisher-imposed access-restrictions on content that prevents this from happening.