Structuring information retrieval interface in LIS: Simplicity vs. efficiency

The author attempts to generalize on the problems of providing retrieval, in particular, subject search, in library information systems and to find solutions. The key requirements to e-catalog retrieval interface as considered in foreign and domestic publications are presented. The problems of providing simplicity of retrieval interface are analyzed. The diverse first search pages of OPACs and e-catalog of Russian and foreign libraries are described. The author suggests a search page version comprising unit search box with the possibility of advanced search and user friendly option of bibliographic, subject, full-text and complex search. Every proposed search types are defined based on SIBID standards, or in case the terms are not provided by existing standards, the author provides her own definitions for them. The requirement of mandatory subject search in library information system, desirably for various types and degrees of complexity, is substantiated. Key requirements to retrieval tools of library information systems are formulated and detailed.

Information Behavior of Faculty Members of NSTU, Public University of Bangladesh

The study’s main purpose was to investigate faculty members’ information searching behaviors while administering any research. This study designed an online questionnaire and printed questionnaires used for data collection. The data were analysed using several descriptive statistics, such as frequencies, percentages, and non-parametric tests, i.e., Mann-Whitney and Kruskal-Wallis. The findings showed that faculty members were heavily dependent on search engines to access information, and they have mainly used academic social media sites such as Google Scholar (n=139) and ResearchGate (n=133). Additionally, to keep up-to-date with new publications, they primarily relied on journal alerts (n=126). In the case of applying searching strategies, they used more than one keyword search and sometimes one keyword. Conversely, they do not apply proximity operators, discovery and federated tools and Boolean operators in their search techniques. Furthermore, for modifying search techniques, they used several keywords searching and utilise search engines, databases, and advanced search techniques. Moreover, the Mann-Whitney test result found no significant differences in terms of their gender regarding the types of e-resources used by them, and the Kruskal-Wallis tests found substantial differences in terms of faculty demographic characteristics of using only indexed databases, search engines, academic, social media sites (e.g., ResearchGate, and Zotero Network), current awareness services (i.e., Journal alerts, Web alerts, and discussion lists), and search techniques (i.e., Boolean operators, and Truncation).

Dealing with the Ambiguity of Glycan Substructure Search

The level of ambiguity in describing glycan structure has significantly increased with the upsurge of large-scale glycomics and glycoproteomics experiments. Consequently, an ontology-based model appears as an appropriate solution for navigating these data. However, navigation is not sufficient and the model should also enable advanced search and comparison. A new ontology with a tree logical structure is introduced to represent glycan structures irrespective of the precision of molecular details. The model heavily relies on the GlycoCT encoding of glycan structures. Its implementation in the GlySTreeM knowledge base was validated with GlyConnect data and benchmarked with the Glycowork library. GlySTreeM is shown to be fast, consistent, reliable and more flexible than existing solutions for matching parts of or whole glycan structures. The model is also well suited for painless future expansion.

OP227 Exploring The Value Of Soft-Intelligence: A Case Study Using Twitter To Track Mental Health During The COVID-19 Pandemic

IntroductionThere is increasing pressure to rapidly shape policies and inform decision-making where robust evidence is lacking. This work aimed to explore the value of soft-intelligence as a novel source of evidence. We deployed an artificial intelligence based natural language platform to identify and analyze a large collection of UK tweets relating to mental health during the COVID-19 pandemic.MethodsA search strategy comprising a list of terms relating to mental health, COVID-19 and the lockdown was developed to prospectively identify relevant tweets via Twitter's advanced search application programming interface. We used a specialist text analytics platform to explore tweet frequency and sentiment across the UK and identify key topics of discussion for qualitative analysis. All collated tweets were anonymized.ResultsWe identified 380,728 tweets from 184,289 unique users in the UK from 30 April to 4 July 2020. The average sentiment score was fifty-two percent, suggesting overall positive sentiment. Tweets around mental health were polarizing, discussed with both positive and negative sentiment. For example, some people described how they were using the lockdown as a positive opportunity to work on their mental health, sharing helpful strategies to support others. However, many people expressed the damaging impact the pandemic (and resulting lockdown) was having on their mental health, including worsening anxiety, stress, depression, and loneliness.ConclusionsThe results suggest that soft-intelligence is potentially a useful source of evidence. The approach taken to identify and analyze this data may offer an efficient means of establishing key insights from the ‘public voice’ relating to critical health issues. However, there are still various limitations to consider concerning the technology and representativeness of the data. Future work to explore this type of evidence further, and how it might formally support decision-making processes, is recommended.This project is funded by the NIHR [(HSRIC-2016-10009)/Innovation Observatory]. The views expressed are those of the author(s) and not necessarily those of the NIHR or the Department of Health and Social Care.

Culturally Adapted Psychoeducation among Family Caregivers of Schizophrenic Clients: A Scoping Review

Background: As psychoeducation was originally developed from Western, this intervention should be integrated with a culture to obtain effective outcomes. However, how culturally adapted psychoeducation on family caregivers of schizophrenic client developed in previous studies has not been systematically documented. The purpose of this review was to map culturally adapted psychoeducation in previous studies. Methods: This scoping review followed Arksey & O'Malley approach. Inclusion criteria including family caregiver, culture, psychoeducation, schizophrenia. Non-primary and non-experiment studies, non-English language and non-free articles were excluded. Advanced search technique used keywords family caregiver, culture, psychoeducation, schizophrenia on CINAHL, PubMed, and PsycInfo databases. Screening was done by checking duplication, title, and abstract. Full text of relevant articles was read in detail to select eligible articles. Selection results were described in the PRISMA flow chart. Data were analyzed after these were extracted and resumed on the table. Result: A total of 8 studies were included in this review. More than half of articles used randomized control trial (RCT) but these studies did not conduct follow up. Most of studies were in Asia (6) and it conducted in the outpatient department (6). Almost all studies modified multifamily group psychoeducation with culture theories. The longest duration of intervention was 12 months. Multidiscipline health professional delivered the intervention and most of the were psychiatrist. Coping was the most family caregiver outcomes in reviewed studies. Conclusion: In conclusion, limited studies were obtained in various ethnics and ways. Further studies need to measure effectiveness of the intervention in long term effect.

How Lawyers Search When No-One Is Looking: A Transaction Log Analysis to Evaluate the Educational Needs of the Legal Profession

<p>Lawyers are increasingly responsible for conducting research using legal databases and are looking to law librarians for training. As there is little information regarding law practitioner training, and even less which provides information about the actual search behaviour of the legal profession, much of this training has had to be based upon experience and best guesses of individual librarians. This study was undertaken to investigate the actual search behaviour of practitioners using the Auckland District Law Society Library. Its purpose is to provide the training personnel in that library with information about the search habits of their potential trainees to improve current training initiatives. It is based on data from transaction logs gathered from the public terminals in the Auckland District Law Society Library which are used by practitioners. An analysis of the logs collected revealed that: (1) the case summary databases, LINX and BRIEFCASE, were the databases most commonly used by practitioners; (2) the most common type of search conducted during the study was for commentary or case law on a particular subject; (3) the majority of search sessions comprised only a single query, but there were some instances where practitioner sessions would involve more than 10 queries; and (4) there was limited use of any of the advanced search features offered on FolioVIEWS. Based upon these findings the following recommendations were made in relation to the existing training programme offered by the Library: 1. All training sessions include information regarding database concepts; 2. The library initiate additional lunch-time training sessions to inform practitioners of the databases currently available in the library and their content; 3. The library continue to teach advanced search techniques, particularly search construction, the use of synonyms and truncation, to help increase the levels of recall and therefore search success in practitioner searches; 4. The library continue to include information on Field and Phrase searching in both the beginners and advanced courses. Although the purpose of the study was not to investigate the level of search 'failure' or 'success' attained by practitioners, this paper contains a discussion of the different measurement techniques which could be used to measure search effectiveness. It is argued that recall would be the most appropriate measure of search success and that, based upon a visual examination of the transaction logs, this is not being achieved in the majority of cases. Given this alarming observation it is argued that more attention should be paid to issues surrounding database and interface design and that the library become involved in a general education programme to help users recognise situations in which end-user searches may be inappropriate.</p>

How Lawyers Search When No-One Is Looking: A Transaction Log Analysis to Evaluate the Educational Needs of the Legal Profession

<p>Lawyers are increasingly responsible for conducting research using legal databases and are looking to law librarians for training. As there is little information regarding law practitioner training, and even less which provides information about the actual search behaviour of the legal profession, much of this training has had to be based upon experience and best guesses of individual librarians. This study was undertaken to investigate the actual search behaviour of practitioners using the Auckland District Law Society Library. Its purpose is to provide the training personnel in that library with information about the search habits of their potential trainees to improve current training initiatives. It is based on data from transaction logs gathered from the public terminals in the Auckland District Law Society Library which are used by practitioners. An analysis of the logs collected revealed that: (1) the case summary databases, LINX and BRIEFCASE, were the databases most commonly used by practitioners; (2) the most common type of search conducted during the study was for commentary or case law on a particular subject; (3) the majority of search sessions comprised only a single query, but there were some instances where practitioner sessions would involve more than 10 queries; and (4) there was limited use of any of the advanced search features offered on FolioVIEWS. Based upon these findings the following recommendations were made in relation to the existing training programme offered by the Library: 1. All training sessions include information regarding database concepts; 2. The library initiate additional lunch-time training sessions to inform practitioners of the databases currently available in the library and their content; 3. The library continue to teach advanced search techniques, particularly search construction, the use of synonyms and truncation, to help increase the levels of recall and therefore search success in practitioner searches; 4. The library continue to include information on Field and Phrase searching in both the beginners and advanced courses. Although the purpose of the study was not to investigate the level of search 'failure' or 'success' attained by practitioners, this paper contains a discussion of the different measurement techniques which could be used to measure search effectiveness. It is argued that recall would be the most appropriate measure of search success and that, based upon a visual examination of the transaction logs, this is not being achieved in the majority of cases. Given this alarming observation it is argued that more attention should be paid to issues surrounding database and interface design and that the library become involved in a general education programme to help users recognise situations in which end-user searches may be inappropriate.</p>

Dealing with the Ambiguity of Glycan Substructure Search

The level of ambiguity in describing glycan structure has significantly increased with the upsurge of large scale glycomics and glycoproteomics experiments. Consequently, an ontology-based model appears as an appropriate solution for navigating this data. However, navigation is not sufficient and the model should also enable advanced search and comparison. A new ontology with a tree logical structure is introduced to represent glycan structures irrespective of the precision of molecular details. The model heavily relies on the GlycoCT encoding of glycan structures. Its implementation in the GlySTreeM knowledge base was validated with GlyConnect data and benchmarked with the Glycowork library. GlySTreeM is shown to be fast, consistent, reliable and more flexible than existing solutions for matching parts of or whole glycan structures. The model is also well suited to painless future expansion. Availability:https://glyconnect.expasy.org/glystreem/wiki