Journal of Librarianship and Information Science, Ahead of Print.
Digital preservation encompasses policies, technologies, and strategies to ensure that digital objects and collections will sustain for future use. This study aimed at investigating the trends toward digital preservation in terms of in-house activities versus outsourcing by systematically reviewing the extant literature. The relevant studies were identified by accessing multiple databases and indexing and abstracting services. After retrieving the relevant literature, necessary filtering was done by following the PRISMA protocols, and thereafter the selected studies were finalized for further review. The meta-analysis of the final studies affirms a strong global preference of libraries, archives, and other cultural and memory organizations toward in-house activities for the preservation of their digital objects and collections compared to outsourcing digital preservation activities by third parties. The results of this study provide a holistic view of how digital assets are being preserved in memory institutions across the world and underpin the global management (in-house or outsourced) approaches for digital preservation.
Gauging the research performance of BRICS in the domain of Library and Information Science through Performance analysis and Science mapping
Journal of Librarianship and Information Science, Ahead of Print.
The study gauges the research performance of the BRICS bloc in the field of Library and Information Science (LIS) research using Performance analysis and Science mapping. The Web of Science database is used for the study and articles published between 2013 and 2022 have been selected for analysis. Data analysis and visualisation have been done using the Bibliometrix R package and VOSviewer. The findings reveal an upward trend in publications. Furthermore, China has been the most prolific nation in terms of productivity and impact. Scientometrics is the leading source in terms of publications while the International Journal of Information Management is the most cited source. With regard to author productivity, Zhang Y has the highest number of publications while Lowry PB is the most cited author. Wuhan University is the most productive organization. In terms of collaboration, the USA is the primary partner for the entire BRICS group, particularly China and collaboration among the BRICS isn’t as significant as it is with the non-BRICS countries. This study provides insightful information about recent scientific developments in the field of LIS. Additionally, by using this research as a guide, researchers from different fields will be able to analyse how the body of knowledge on a certain subject has evolved over time. This study also outlines potential research directions in this field of research.
The study gauges the research performance of the BRICS bloc in the field of Library and Information Science (LIS) research using Performance analysis and Science mapping. The Web of Science database is used for the study and articles published between 2013 and 2022 have been selected for analysis. Data analysis and visualisation have been done using the Bibliometrix R package and VOSviewer. The findings reveal an upward trend in publications. Furthermore, China has been the most prolific nation in terms of productivity and impact. Scientometrics is the leading source in terms of publications while the International Journal of Information Management is the most cited source. With regard to author productivity, Zhang Y has the highest number of publications while Lowry PB is the most cited author. Wuhan University is the most productive organization. In terms of collaboration, the USA is the primary partner for the entire BRICS group, particularly China and collaboration among the BRICS isn’t as significant as it is with the non-BRICS countries. This study provides insightful information about recent scientific developments in the field of LIS. Additionally, by using this research as a guide, researchers from different fields will be able to analyse how the body of knowledge on a certain subject has evolved over time. This study also outlines potential research directions in this field of research.
Global trends in digital preservation: Outsourcing versus in-house practices
Journal of Librarianship and Information Science, Ahead of Print.
Digital preservation encompasses policies, technologies, and strategies to ensure that digital objects and collections will sustain for future use. This study aimed at investigating the trends toward digital preservation in terms of in-house activities versus outsourcing by systematically reviewing the extant literature. The relevant studies were identified by accessing multiple databases and indexing and abstracting services. After retrieving the relevant literature, necessary filtering was done by following the PRISMA protocols, and thereafter the selected studies were finalized for further review. The meta-analysis of the final studies affirms a strong global preference of libraries, archives, and other cultural and memory organizations toward in-house activities for the preservation of their digital objects and collections compared to outsourcing digital preservation activities by third parties. The results of this study provide a holistic view of how digital assets are being preserved in memory institutions across the world and underpin the global management (in-house or outsourced) approaches for digital preservation.
Digital preservation encompasses policies, technologies, and strategies to ensure that digital objects and collections will sustain for future use. This study aimed at investigating the trends toward digital preservation in terms of in-house activities versus outsourcing by systematically reviewing the extant literature. The relevant studies were identified by accessing multiple databases and indexing and abstracting services. After retrieving the relevant literature, necessary filtering was done by following the PRISMA protocols, and thereafter the selected studies were finalized for further review. The meta-analysis of the final studies affirms a strong global preference of libraries, archives, and other cultural and memory organizations toward in-house activities for the preservation of their digital objects and collections compared to outsourcing digital preservation activities by third parties. The results of this study provide a holistic view of how digital assets are being preserved in memory institutions across the world and underpin the global management (in-house or outsourced) approaches for digital preservation.
Comparison of text-based and linked-based metrics in terms of estimating the similarity of articles
Journal of Librarianship and Information Science, Ahead of Print.
The aim of this study is to identify the power of text-based metrics (Cosine and Lucene similarity) and linked-based (Co-citation, bibliographic coupling, Amsler, PageRank, and HITS) and their combination in estimating the similarity of articles with each other. The experiments were conducted on a test collection of 26,262 articles in the PubMed Central Open Access Subset (PMC OAS) of CITREC that, in addition to having linked-based metrics, their full text was available for calculating text-based metrics. Thirty articles were selected as primary articles, and articles related to each of them were retrieved based on the mesh similarity metric. Then, the similarity of the retrieved documents based on text-based and linked-based metrics was also extracted. In the next stage, text-based, linked-based, and hybrid metrics were entered into the generalized regression model to estimate the similarity of the articles to determine their power; finally, the performance of the models was compared based on the mean squared error and correlation. The results showed that the model included Cosine and Lucene similarity metrics in text-based metrics. In linked-based metrics, HITS (Hub), HITS (authority), PageRank, and co-citation had the highest power, respectively; but the bibliographic coupling and Amsler could not enter the model. In general, a comparison of text-based, linked-based, and hybrid metrics performance indicated that the linked-based model estimates similarity between articles better than the text-based model, and the combination of text-based and linked-based metrics makes little change in improving the power of the articles. Despite the importance and application of text-based and linked-based metrics to measure the similarity of articles, a study that examines the power of these metrics alone and in comparison with each other in estimating the similarity of articles was not observed.
The aim of this study is to identify the power of text-based metrics (Cosine and Lucene similarity) and linked-based (Co-citation, bibliographic coupling, Amsler, PageRank, and HITS) and their combination in estimating the similarity of articles with each other. The experiments were conducted on a test collection of 26,262 articles in the PubMed Central Open Access Subset (PMC OAS) of CITREC that, in addition to having linked-based metrics, their full text was available for calculating text-based metrics. Thirty articles were selected as primary articles, and articles related to each of them were retrieved based on the mesh similarity metric. Then, the similarity of the retrieved documents based on text-based and linked-based metrics was also extracted. In the next stage, text-based, linked-based, and hybrid metrics were entered into the generalized regression model to estimate the similarity of the articles to determine their power; finally, the performance of the models was compared based on the mean squared error and correlation. The results showed that the model included Cosine and Lucene similarity metrics in text-based metrics. In linked-based metrics, HITS (Hub), HITS (authority), PageRank, and co-citation had the highest power, respectively; but the bibliographic coupling and Amsler could not enter the model. In general, a comparison of text-based, linked-based, and hybrid metrics performance indicated that the linked-based model estimates similarity between articles better than the text-based model, and the combination of text-based and linked-based metrics makes little change in improving the power of the articles. Despite the importance and application of text-based and linked-based metrics to measure the similarity of articles, a study that examines the power of these metrics alone and in comparison with each other in estimating the similarity of articles was not observed.
A scientometric analysis of digital library adoption over the past 30 years: Models, trends, and research directions
Journal of Librarianship and Information Science, Ahead of Print.
This paper discusses the present state of the art and forthcoming directions of digital library adoption (DLA) research over the past 30 years. By means of scientometric analysis, we synthesize 216 articles and conference papers published between 1992 and 2022 using visualization maps of prolific contributions, co-citation, co-occurrence, and thematic networks. The analysis reveals important findings concerning research evolution, models and theories, intellectual foundations, emerging streams, frontiers, and hotspots that inform DLA decisions. Moreover, the paper highlights future DLA research opportunities through addressing scarcely observed areas in the field. To the best of our knowledge, this is the first attempt that comprehensively oversees the breadth and depth of the DLA research over a long-time span.
This paper discusses the present state of the art and forthcoming directions of digital library adoption (DLA) research over the past 30 years. By means of scientometric analysis, we synthesize 216 articles and conference papers published between 1992 and 2022 using visualization maps of prolific contributions, co-citation, co-occurrence, and thematic networks. The analysis reveals important findings concerning research evolution, models and theories, intellectual foundations, emerging streams, frontiers, and hotspots that inform DLA decisions. Moreover, the paper highlights future DLA research opportunities through addressing scarcely observed areas in the field. To the best of our knowledge, this is the first attempt that comprehensively oversees the breadth and depth of the DLA research over a long-time span.
Comparison of text-based and linked-based metrics in terms of estimating the similarity of articles
Journal of Librarianship and Information Science, Ahead of Print.
The aim of this study is to identify the power of text-based metrics (Cosine and Lucene similarity) and linked-based (Co-citation, bibliographic coupling, Amsler, PageRank, and HITS) and their combination in estimating the similarity of articles with each other. The experiments were conducted on a test collection of 26,262 articles in the PubMed Central Open Access Subset (PMC OAS) of CITREC that, in addition to having linked-based metrics, their full text was available for calculating text-based metrics. Thirty articles were selected as primary articles, and articles related to each of them were retrieved based on the mesh similarity metric. Then, the similarity of the retrieved documents based on text-based and linked-based metrics was also extracted. In the next stage, text-based, linked-based, and hybrid metrics were entered into the generalized regression model to estimate the similarity of the articles to determine their power; finally, the performance of the models was compared based on the mean squared error and correlation. The results showed that the model included Cosine and Lucene similarity metrics in text-based metrics. In linked-based metrics, HITS (Hub), HITS (authority), PageRank, and co-citation had the highest power, respectively; but the bibliographic coupling and Amsler could not enter the model. In general, a comparison of text-based, linked-based, and hybrid metrics performance indicated that the linked-based model estimates similarity between articles better than the text-based model, and the combination of text-based and linked-based metrics makes little change in improving the power of the articles. Despite the importance and application of text-based and linked-based metrics to measure the similarity of articles, a study that examines the power of these metrics alone and in comparison with each other in estimating the similarity of articles was not observed.
The aim of this study is to identify the power of text-based metrics (Cosine and Lucene similarity) and linked-based (Co-citation, bibliographic coupling, Amsler, PageRank, and HITS) and their combination in estimating the similarity of articles with each other. The experiments were conducted on a test collection of 26,262 articles in the PubMed Central Open Access Subset (PMC OAS) of CITREC that, in addition to having linked-based metrics, their full text was available for calculating text-based metrics. Thirty articles were selected as primary articles, and articles related to each of them were retrieved based on the mesh similarity metric. Then, the similarity of the retrieved documents based on text-based and linked-based metrics was also extracted. In the next stage, text-based, linked-based, and hybrid metrics were entered into the generalized regression model to estimate the similarity of the articles to determine their power; finally, the performance of the models was compared based on the mean squared error and correlation. The results showed that the model included Cosine and Lucene similarity metrics in text-based metrics. In linked-based metrics, HITS (Hub), HITS (authority), PageRank, and co-citation had the highest power, respectively; but the bibliographic coupling and Amsler could not enter the model. In general, a comparison of text-based, linked-based, and hybrid metrics performance indicated that the linked-based model estimates similarity between articles better than the text-based model, and the combination of text-based and linked-based metrics makes little change in improving the power of the articles. Despite the importance and application of text-based and linked-based metrics to measure the similarity of articles, a study that examines the power of these metrics alone and in comparison with each other in estimating the similarity of articles was not observed.
A scientometric analysis of digital library adoption over the past 30 years: Models, trends, and research directions
Journal of Librarianship and Information Science, Ahead of Print.
This paper discusses the present state of the art and forthcoming directions of digital library adoption (DLA) research over the past 30 years. By means of scientometric analysis, we synthesize 216 articles and conference papers published between 1992 and 2022 using visualization maps of prolific contributions, co-citation, co-occurrence, and thematic networks. The analysis reveals important findings concerning research evolution, models and theories, intellectual foundations, emerging streams, frontiers, and hotspots that inform DLA decisions. Moreover, the paper highlights future DLA research opportunities through addressing scarcely observed areas in the field. To the best of our knowledge, this is the first attempt that comprehensively oversees the breadth and depth of the DLA research over a long-time span.
This paper discusses the present state of the art and forthcoming directions of digital library adoption (DLA) research over the past 30 years. By means of scientometric analysis, we synthesize 216 articles and conference papers published between 1992 and 2022 using visualization maps of prolific contributions, co-citation, co-occurrence, and thematic networks. The analysis reveals important findings concerning research evolution, models and theories, intellectual foundations, emerging streams, frontiers, and hotspots that inform DLA decisions. Moreover, the paper highlights future DLA research opportunities through addressing scarcely observed areas in the field. To the best of our knowledge, this is the first attempt that comprehensively oversees the breadth and depth of the DLA research over a long-time span.
Professional translators’ and interpreters’ views on information competence: An exploratory qualitative study from the Spanish context
Journal of Librarianship and Information Science, Ahead of Print.
Information competence is essential in professional translation and interpreting. This paper gathers the views of professional translators and interpreters in Spain on information competence, by means of an exploratory qualitative study. A questionnaire composed essentially of open-ended questions was applied to gather data and the qualitative analysis software ATLAS.ti was used to code the results using thematic content analysis methods. The views provided by a sample of professional translators and interpreters (n = 156) on the importance of information competence were collected, together with their recommendations on this key competence for those who are starting their training in translation and interpreting. The study also explores the main information needs highlighted by professionals, the sources of information they use most frequently and how they verify information, and their opinions on the gender perspective (with explicit mention of inclusive language) as part of information competence in professional practice. The results show that professionals consider information competence to be absolutely essential in the framework of translation competence, and recommend reinforcing information literacy training in university undergraduate degree programmes. They have multiple information needs (from terminological to contextual) that make them turn to a wide range of information resources (mainly personal sources and online documentary resources), but they need to strengthen their knowledge for information evaluation. Regarding the gender perspective, professionals practically limit their answers to their opinions on inclusive language and, although most of them are in favour, some resistance is detected. From the diagnosis carried out in this research, opportunities for supporting information literacy instruction in undergraduate degrees and in continuing professional development are identified.
Information competence is essential in professional translation and interpreting. This paper gathers the views of professional translators and interpreters in Spain on information competence, by means of an exploratory qualitative study. A questionnaire composed essentially of open-ended questions was applied to gather data and the qualitative analysis software ATLAS.ti was used to code the results using thematic content analysis methods. The views provided by a sample of professional translators and interpreters (n = 156) on the importance of information competence were collected, together with their recommendations on this key competence for those who are starting their training in translation and interpreting. The study also explores the main information needs highlighted by professionals, the sources of information they use most frequently and how they verify information, and their opinions on the gender perspective (with explicit mention of inclusive language) as part of information competence in professional practice. The results show that professionals consider information competence to be absolutely essential in the framework of translation competence, and recommend reinforcing information literacy training in university undergraduate degree programmes. They have multiple information needs (from terminological to contextual) that make them turn to a wide range of information resources (mainly personal sources and online documentary resources), but they need to strengthen their knowledge for information evaluation. Regarding the gender perspective, professionals practically limit their answers to their opinions on inclusive language and, although most of them are in favour, some resistance is detected. From the diagnosis carried out in this research, opportunities for supporting information literacy instruction in undergraduate degrees and in continuing professional development are identified.
Professional translators’ and interpreters’ views on information competence: An exploratory qualitative study from the Spanish context
Journal of Librarianship and Information Science, Ahead of Print.
Information competence is essential in professional translation and interpreting. This paper gathers the views of professional translators and interpreters in Spain on information competence, by means of an exploratory qualitative study. A questionnaire composed essentially of open-ended questions was applied to gather data and the qualitative analysis software ATLAS.ti was used to code the results using thematic content analysis methods. The views provided by a sample of professional translators and interpreters (n = 156) on the importance of information competence were collected, together with their recommendations on this key competence for those who are starting their training in translation and interpreting. The study also explores the main information needs highlighted by professionals, the sources of information they use most frequently and how they verify information, and their opinions on the gender perspective (with explicit mention of inclusive language) as part of information competence in professional practice. The results show that professionals consider information competence to be absolutely essential in the framework of translation competence, and recommend reinforcing information literacy training in university undergraduate degree programmes. They have multiple information needs (from terminological to contextual) that make them turn to a wide range of information resources (mainly personal sources and online documentary resources), but they need to strengthen their knowledge for information evaluation. Regarding the gender perspective, professionals practically limit their answers to their opinions on inclusive language and, although most of them are in favour, some resistance is detected. From the diagnosis carried out in this research, opportunities for supporting information literacy instruction in undergraduate degrees and in continuing professional development are identified.
Information competence is essential in professional translation and interpreting. This paper gathers the views of professional translators and interpreters in Spain on information competence, by means of an exploratory qualitative study. A questionnaire composed essentially of open-ended questions was applied to gather data and the qualitative analysis software ATLAS.ti was used to code the results using thematic content analysis methods. The views provided by a sample of professional translators and interpreters (n = 156) on the importance of information competence were collected, together with their recommendations on this key competence for those who are starting their training in translation and interpreting. The study also explores the main information needs highlighted by professionals, the sources of information they use most frequently and how they verify information, and their opinions on the gender perspective (with explicit mention of inclusive language) as part of information competence in professional practice. The results show that professionals consider information competence to be absolutely essential in the framework of translation competence, and recommend reinforcing information literacy training in university undergraduate degree programmes. They have multiple information needs (from terminological to contextual) that make them turn to a wide range of information resources (mainly personal sources and online documentary resources), but they need to strengthen their knowledge for information evaluation. Regarding the gender perspective, professionals practically limit their answers to their opinions on inclusive language and, although most of them are in favour, some resistance is detected. From the diagnosis carried out in this research, opportunities for supporting information literacy instruction in undergraduate degrees and in continuing professional development are identified.
Toward implementing equality, diversity, and inclusion for virtual conferences within the LIS professions
Journal of Librarianship and Information Science, Ahead of Print.
Equality, diversity, and inclusion (EDI) has gained increased attention within the library and information professions, becoming an important aspect of the ethical framework and strategic planning of several professional bodies. This paper uses a data-driven analysis of material from the iSchools conferences (iConferences) as a case study to examine how we might facilitate EDI in practice and engage more effectively with our communities in a virtual context with the move to more online conferences. Our findings identify both positive and negative aspects about the use of online conference platforms and raise concerns over the possibility that virtual conferences may increase unconscious bias and assumptions that could impact adversely on those already disadvantaged. Transparency and communication are key to identifying and addressing any barriers to equality and so online conferences need to ensure clarity and transparency concerning privacy, content, and process, and to demonstrate awareness of the diverse backgrounds of their community members.
Equality, diversity, and inclusion (EDI) has gained increased attention within the library and information professions, becoming an important aspect of the ethical framework and strategic planning of several professional bodies. This paper uses a data-driven analysis of material from the iSchools conferences (iConferences) as a case study to examine how we might facilitate EDI in practice and engage more effectively with our communities in a virtual context with the move to more online conferences. Our findings identify both positive and negative aspects about the use of online conference platforms and raise concerns over the possibility that virtual conferences may increase unconscious bias and assumptions that could impact adversely on those already disadvantaged. Transparency and communication are key to identifying and addressing any barriers to equality and so online conferences need to ensure clarity and transparency concerning privacy, content, and process, and to demonstrate awareness of the diverse backgrounds of their community members.