Types Of Repositories Research Articles

Digital Language Archiving: Reuse and Adaptation of Non-LIS Learning Materials in LIS Education

As a digital repository type that is gaining prominence, language archives are in need of information professionals to maintain and provide access to. Yet, awareness of digital language archives among the US LAM professionals and educators is currently low. Our project’s analysis of available relevant training materials for linguists and community members informed development of a graduate course that prepares LAM professionals to effective and ethical stewardship of digital language archives. This paper provides a brief literature review of the latest relevant research and publications. Next, results of examination of three sources of language archiving learning materials are presented and discussed. This discussion’s focus is on the ideas for reuse and adaptation of these materials in LAM education and on implementation of some of these ideas in our project-developed course at the University of North Texas.

Digital Language Archiving: Reuse and Adaptation of Non-LIS Learning Materials in LIS Education

As a digital repository type that is gaining prominence, language archives are in need of information professionals to maintain and provide access to. Yet, awareness of digital language archives among the US LAM professionals and educators is currently low. Our project’s analysis of available relevant training materials for linguists and community members informed development of a graduate course that prepares LAM professionals for effective and ethical stewardship of digital language archives. In this paper, following a brief literature review of the latest relevant research and publications, results of examination of three major sources of language archiving learning materials are presented and discussed. This discussion’s focus is on the ideas for reuse and adaptation of these materials in LIS education and on implementation of some of these ideas in our project-developed course at the University of North Texas.

Digital Language Archiving: Reuse and Adaptation of Non-LIS Learning Materials in LIS Education

As a digital repository type of growing prominence, language archives need qualified information professionals to maintain and provide access to their rich collections. Yet, awareness of digital language archives among the US LIS professionals and educators is currently low. Our project’s analysis of available relevant training materials for linguists and community members informed the development of a graduate course that prepares LIS professionals for effective and ethical stewardship of digital language archives. In this paper, following a brief literature review of the latest relevant research and publications, results of examination of three major sources of language archiving learning materials are presented and discussed. This discussion’s focus is on the ideas for reuse and adaptation of these materials in LIS education and on implementation of some of these ideas in our project-developed course at the University of North Texas.

A Collections-Based View of the Future of Archaeology

AbstractThis theme issue has two primary goals: to illuminate the underdeveloped or faltering areas of the discipline as they relate to archaeological collections and to offer tangible paths forward to address the systemic problems identified as they impact the future of archaeology. Present-day archaeology is complicated due to its many sectors of practice: academia/faculty; cultural resource management; federal, state, and local government; tribal governments and communities; descendant communities; students; the general public; and different types of archaeological repositories. Given this complexity, it can be difficult to identify the expectations (and realities) of each sector, which, if better understood, would help illuminate the nuances of preservation, accountability, discoverability, and use of archaeological collections across the discipline. Without a solid understanding of these nuances, efforts to advance the discipline are undermined. This introduction provides an overview of the articles that address emerging and urgent issues and offer viable steps forward. These challenges include the interrelationships between ethics, collaboration, and training; the preservation and management of digital records and data; collections discovery and reuse; collections-based research; training in material culture; making collections knowable to constituencies outside archaeology; preparing for repatriation from a management perspective; and the intricacies of the archaeological digital data system.

Imaging biobanks: operational limits, medical-legal and ethical reflections.

The extraordinary growth of health technologies has determined an increasing interest in biobanks that represent a unique wealth for research, experimentation, and validation of new therapies. "Human" biobanks are repositories of various types of human biological samples. Through years the paradigm has shifted from spontaneous collections of biological material all over the world to institutional, organized, and well-structured forms. Imaging biobanks represent a novel field and are defined by European Society of Radiology as: "organized databases of medical images, and associated imaging biomarkers shared among multiple researchers, linked to other biorepositories". Modern radiology and nuclear medicine can provide multiple imaging biomarkers, that express the phenotype related to certain diseases, especially in oncology. Imaging biobanks, not a mere catalogue of bioimages associated to clinical data, involve advanced computer technologies to implement the emergent field of radiomics and radiogenomics. Since Europe hosts most of the biobanks, juridical and ethical framework, with a specific referral to Italy, is analyzed. Linking imaging biobanks to traditional ones appears to be a crucial step that needs to be driven by medical imaging community under clear juridical and ethical guidelines.

From Digital Commons to Alma/Primo: enhancing the dissemination of Doctor of Nursing Practice (DNP) projects.

The Doctor of Nursing Practice (DNP) project collection is a group of approximately 120 DNP projects archived between 2017 and 2022 in Health Sciences Research Commons (HSRC), the health sciences institutional repository (IR) for the George Washington University. Our project focused on expanding avenues for the dissemination of DNP projects beyond our Digital Commons IR by integrating this content into the library's instances of Ex Libris Alma and Primo VE. By utilizing the Ex Libris Repository type import profile rather than the OAI-PMH feed, we identified enhanced opportunities for content discovery while likewise retaining better control over individual item records.

Machine learning model for identification of frontend and backend repositories in Github

Frontend and Backend repositories are the main components of the multi-repository structure. The developers or team managers upfront mostly do the identification of these repositories, but in Github, there is almost no tool or third party identification to identify these repositories. Since Github is the largest open source platform and is used by, many researchers and identification of these two repositories are crucial. This paper shows how this problem can be solved by building a machine learning model based on the file structure of the repository. The model has proven to be very successful with an accuracy of over 90% and can be used not only to identify the repository type, but also to identify the development language and environment.

Python scripts for web scraping metadata from descriptions of the international scenario of research data repositories

Objective: Research data repositories are an evolution of document repositories that aim to access and preserve all materials used before, during, and after scientific research. In this context, this study aims to conduct an exploratory and descriptive investigation of the international scenario of data repositories by monitoring the descriptive metadata of the international register of this type of repositories in the Registry of Research Data Repositories (re3data.org). Methods: The process requires applying knowledge inherent to the techniques and technologies used for descriptive data analysis, information retrieval, manipulation, analysis, and data visualization. Consequently, three scripts in Python 3.11 are provided for collecting metadata from re3data and scripts and converting the metadata to enable visualization in software such as VOSviewer, a dataset with metadata descriptions of repositories and conversions for visualization of networks. The datasets produced in this study can be found in the ZENODO Data Repository (https://doi.org/10.5281/zenodo.7903109). In a collection on (05/05/2023), 3108 links to the repository descriptions were retrieved. Data and scripts were created for this methodological experiment and shared at (DOI: doi.org/10.5281/zenodo.7903109). The dataset contains a root directory with three subdirectories: (scripts) with (.py) Python codes, another directory called (data) with textual files containing tab-separated values (.TSV), and the file (Information Systems Research, RIS). The third directory (env) contains the Python libraries required to run the scripts. Potential for reuse: The research method applied to manipulate this dataset is based on automated re3data metadata extraction and network visualization; after the data collection and analysis process, it is possible to trigger a study based on the descriptions extracted from the Registry of Research Data Repositories (re3data), researchers can visualize the international scenario of research data repositories, verified by re3data, which allows ethical monitoring of the number of research data repositories that are registered in re3data, what are their areas, institutions, countries, the language of research data, the typology of repositories and deposited data, their themes, areas of knowledge, types of access, licenses and software used. In addition, other issues can be raised while interpreting the data. The community of Librarianship and Information Science professionals need to share data and the extraction technique these research data. Finally, it can be concluded whether information about research data repositories allows us to state that they are heterogeneous data sources that enable access and preservation of a wide range of research data types

The status of open access repositories in the field of technology: insights from OpenDOAR

Purpose Open-access repositories (OARs) are essential for openly disseminating intellectual knowledge on the internet and providing free access to it. The current study aims to evaluate the growth and development of OARs in the field of technology by investigating several characteristics such as coverage, OA policies, software type, content type, yearly growth, repository type and geographic contribution. Design/methodology/approach The directory of OARs acts as the source for data harvesting, which provides a quality-assured list of OARs across the globe. Findings The study found that 125 nations contributed a total of 4,045 repositories in the field of research, with the USA leading the list with the most repositories. Maximum repositories were operated by institutions having multidisciplinary approaches. The DSpace and Eprints were the preferred software types for repositories. The preferred upload content by contributors was “research articles” and “electronic thesis and dissertations”. Research limitations/implications The study is limited to the subject area technology as listed in OpenDOAR; therefore, the results may differ in other subject areas. Practical implications The work can benefit researchers across disciplines and, interested researchers can take this study as a base for evaluating online repositories. Moreover, policymakers and repository managers could also get benefitted from this study. Originality/value The study is the first of its kind, to the best of the authors’ knowledge, to investigate the repositories of subject technology in the open-access platform.

An epistemic approach to model uncertainty in data-graphs

Graph databases are becoming widely successful as data models that allow to effectively represent and process complex relationships among various types of data. Data-graphs are particular types of graph databases whose representation allows both data values in the paths and in the nodes to be treated as first class citizens by the query language. As with any other type of data repository, data-graphs may suffer from errors and discrepancies with respect to the real-world data they intend to represent. In this work, we explore the notion of probabilistic unclean data-graphs, in order to capture the idea that the observed (unclean) data-graph is actually the noisy version of a clean one that correctly models the world but that we know only partially. As the factors that lead to such a state of affairs may be many, e.g., all different types of clerical errors or unintended transformations of the data, and depend heavily on the application domain, we assume an epistemic probabilistic model that describes the distribution over all possible ways in which the clean (uncertain) data-graph could have been polluted. Based on this model we define two computational problems: data cleaning and probabilistic query answering and study for both of them their corresponding complexity when considering that the polluting transformation of the data-graph can be caused by either removing (subset), adding (superset), or modifying (update) nodes and edges. For data cleaning, we explore restricted versions when the transformation only involves updating data-values on the nodes. Finally, we look at some implications of incorporating hard and soft constraints to our framework.

Disposal of short-lived low- and intermediate-level waste: analysis of foreign experience

The article summarizes and analyzes the main approaches and practical experience of foreign countries regarding the disposal of short-lived low- and medium-level waste. Their place in the category of low-level waste according to the recommended classification of the IAEA, for which disposal in near-surface storage facilities is provided, is shown. Currently, in countries that operate nuclear facilities and develop nuclear technologies, there is no one approach to the disposal of such waste. The type of repository and its structural and technological solutions are determined by the specifics of the waste itself, the nature of the site, the state strategy in the nuclear industry, as well as social and economic factors. To date, several types of storage facilities have been developed for the disposal of short-lived low- and medium-level waste: relatively simple trench-type near-surface storage facilities; modular-type near-surface storage facilities with a complicated system of engineering barriers and criteria for selecting containing rocks (natural barriers) compared to the trench type; geological storages, which are mainly built in mining operations with a complex system of tunnels and barrier protection. Bentonite clays are widely used as components of engineering barriers. In the simplest case of near-surface repositories, the bentonite layer serves as the base material of the repositories and helps to reduce filtration and increase the sorption of radionuclides and other components. In the organization of geological repositories, the bentonite layer contributes to the reduction of water filtration into the repositories, increases the sorption of radionuclides, prevents the destruction of concrete structures during a shift by containing rocks, and, in the event of the destruction of cement-concrete structures of engineering barriers, leads to a decrease in the removal of radionuclides from the repositories into the environment. The work gives examples of different types of storage facilities in countries around the world.

Unveiling the present status of open access repositories: a comparative analysis of India and China

PurposeOpen access repository is an essential element of an organization's strategy for enhancing the visibility and accessibility of its intellectual output to a global audience. Owing to its importance, the study aims to explore the current status of open access repositories in India and China by analyzing the different characteristic features of repositories.Design/methodology/approachThe data for the study is collected from OpenDoar which is labeled as a quality assured repository directory across the globe. The country-wise contribution of Asian repositories is extracted from OpenDoar using various filtration options available in the repository. Further, the URL of every Indian and Chinese repository was manually accessed to gather the following metadata: Repository Type, Software Usage, Repository Interface Language, Year of Development, Subject Coverage, Content Coverage, and the utilization of Web 2.0 tools by repositories. FindingsThe findings of the study highlights that among the Asian countries, India is at 4th rank while China is at 5th rank in terms of repository count. The study depicts that India has shown more promising growth than China. However, both the countries mainly focused on institutional repositories while disciplinary, aggregated, and governmental repositories are very few in number, therefore building such repositories is the need of an hour. Dspace as the preferred software and English as a dominant interface language occupy the prominent places in the repositories of both countries. Moreover, the repositories of both countries have embraced web 2.0 tools like RSS 1.0, RSS 2.0 and Atom with little presence of social media tools.Research limitations/implicationsThe study has limitations, and results should be interpreted with caution. The comparison between the two countries is based on only one data source, i.e. OpenDoar. However, there is a possibility that future studies can take various repository directories as a data source that will give a clear picture of comparison.Originality/valueThe study can be beneficial to the policymakers and the administrators of these two regions as it will provide them a vivid picture of the diffrent characteristic features of their repositories so that they can formulate better policies that will be helpful to foster green open access.

Resource Repositories and linking resources: An exploratory study

In this article the existence, use and importance of repositories are explored. An introduction into language resources (LRs) is given as well as a discussion of two platforms for the distribution of language resources, namely, the repository of the South African Centre for Digital Language Resources (SADiLaR) and Lanfrica, a site that links resources. In this article, types of repositories, such as institutional and language resource repositories, will be distinguished and compared. Language preservation is proposed as an important aspect which can be strengthened by the presence and use of repositories. The view expressed in this article is that the availability of language resources and repositories are pivotal for the development, preservation and advancement of languages. Having a host site that links available resources and a repository where resources could be uploaded is a positive attribute of the mentioned online platforms, however as it will be discussed, the fact that information is available online is not a guarantee that the resources are or will be used by researchers or other interested persons, especially if they are not aware of their existence. The article is concluded with suggestions for future work, for example measuring the influence of inaccurate metadata of language resources on linguistic research.

Relative Performance of Various Types of Repositories for MySQL Archive Backup and Restore Operations

The backup and restore operations are essential part of database system's administration process. Usually, the size of the database is a major factor that determines numerous practical issues, among which is what backup and recovery methods to be used. However, in addition, there are various types of storage systems (repositories) available in MySQL 8.0, for example MyISAM, Merge, Memory, InnoDB, CSV, Blackhole, Archive and Federated, which in general sense determine how to store each table into at least one file. Each of these storage systems have their own positive and negative characteristics, so when constructing logical archives, it is vital to compare the performance of those various types of repositories.

HYBRID MODEL FOR THE CLASSIFICATION OF QUESTIONS EXPRESSED IN NATURAL LANGUAGE

Question-answering systems rely on an unstructured text corpora or a knowledge base to answer user questions. Most of these systems store knowledge in multiple repositories including RDF. To access this type of repository, SPARQL is the most convenient formal language. It is a complex language, it is therefore necessary to transform the questions expressed in natural language by users into a SPARQL query. As this language is complex, several approaches have been proposed to transform the questions expressed in natural language by users into a SPARQL query.However, the identification of the question type is a serious problem. Questions classification plays a potential role at this level. Machine learning algorithms including neural networks are used for this classification. With the increase in the volume of data, neural networks better perform than those obtained by machine learning algorithms, in general. That is, neural networks, machine learning algorithms also remain good classifiers. For more efficiency, a combination of convolutional neural network with these algorithms has been suggested in this paper. The BICNN-SVM combination has obtained good score not only with small dataset with a precision of 96.60% but also with a large dataset with 94.05%.

Performance benchmark on semantic web repositories for spatially explicit knowledge graph applications

Knowledge graph has become a cutting-edge technology for linking and integrating heterogeneous, cross-domain datasets to address critical scientific questions. As big data has become prevalent in today's scientific analysis, semantic data repositories that can store and manage large knowledge graph data have become critical in successfully deploying spatially explicit knowledge graph applications. This paper provides a comprehensive evaluation of the popular semantic data repositories and their computational performance in managing and providing semantic support for spatial queries. There are three types of semantic data repositories: (1) triple store solutions (RDF4j, Fuseki, GraphDB, Virtuoso), (2) property graph databases (Neo4j), and (3) an Ontology-Based Data Access (OBDA) approach (Ontop). Experiments were conducted to compare each repository's efficiency (e.g., query response time) in handling geometric, topological, and spatial-semantic related queries. The results show that Virtuoso achieves the overall best performance in both non-spatial and spatial-semantic queries. The OBDA solution, Ontop, has the second-best query performance in spatial and complex queries and the best storage efficiency, requiring the least data-to-RDF conversion efforts. Other triple store solutions suffer from various issues that cause performance bottlenecks in handling spatial queries, such as inefficient memory management and lack of proper query optimization.

Impact factions: assessing the citation impact of different types of open access repositories

Institutional repositories (IR) maintained by research libraries play a central role in providing open access to taxpayer-funded research products. It is difficult to measure the extent to which IR contribute to new scholarship because publisher self-archiving policies typically require researchers to cite the “version of record” of a manuscript even when an IR copy is accessed to conduct the research. While some studies report an open access (OA) citation advantage resulting from the availability of self-archived or “green” OA manuscripts, few have sought to measure an OA citation effect of IR separately from disciplinary repositories, including arXiv and PubMed Central. In this study, the authors present a bibliometric analysis examining correlations between search engine performance of items in IR, OA availability from different types of repositories, and citations. The analysis uses a novel, open dataset of IR access and usage derived from five months of Google search engine results pages (SERP) data, which were aggregated by the Repository Analytics and Metrics Portal (RAMP) web service. Findings indicate that making OA copies of manuscripts available in self-archiving or “green” repositories results in a positive citation effect, although the disciplinary repositories within the sample significantly outperform the other types of OA services analyzed. Also evident is an increase in citations when a single manuscript is available in multiple OA sources.

Development of Digital Technology in Medical Libraries

Abstract: The scientific libraries in developing and beneath-growing international locations are yet to evolve to meet the maximum statistics needs of educational, studies and fitness care. As in line with the various research the most records wishes may be met if health libraries are prepared in context of country wide and local networks digital libraries are built on a solid foundation of running as the superior data gadget of the destiny. at the same time as studies institutions are grappling with difficult finances selections in brand new monetary environment, they want to have a approach in vicinity to deliver hosting services. Libraries have made various contributions to the development of many types of digital repositories, mainly the ones containing locally created digital content, consisting of latest digital gadgets or editions digitization of domestically preserved works. this article discusses numerous aspects of resource digitization in scientific libraries. It additionally describes digitization projects taken in clinical training. It discusses scope, values, features, evolution of technical demanding situations, community of countries and countries. monetary, and many others. Keywords: clinical libraries, health technology libraries, MLA, ICMR, HELLIS, MEDLAR

Data sharing in biological anthropology

AbstractOpen data sharing democratizes science by making data more equitably available throughout the world. Furthermore, open data sharing improves the reproducibility and quality of research and enables new collaborations powered by the freely available data. Open data are defined as data that can be freely used, reused, and redistributed by anyone. For an interdisciplinary field like biological anthropology, data sharing is critical since one person cannot easily collect data across the domains relevant to our field. The goal of this paper is to encourage broader data sharing in our discipline by exploring the state of data sharing in the field of biological anthropology. Our paper is divided into four parts: the first section describes the benefits, challenges, and emerging solutions to open data sharing; the second section presents the results of our data archiving and sharing survey that was completed by over 700 researchers; the third section presents personal experiences of data sharing by the authors; and the fourth section discusses the strengths of different types of data repositories and provides a list of recommended data repositories.

A Study of Vulnerability Identifiers in Code Comments: Source, Purpose, and Severity

Software vulnerability is one of the weaknesses in computer security that challenges developers to rectify. Software maintainers rely on code comments to maintain their source code, including fixing vulnerability issues. To facilitate understanding the security issues in the related code, vulnerability identifiers are commonly included in code comments. However, not all vulnerability-related code comments describe clearly the purposes of the inclusion of the identifiers. Based on this evidence, we investigate the importance of vulnerability identifiers contained in source code comments, which is the novelty of this paper. We performed a study of 1,491 code comments that refer to vulnerability identifiers to define their categories. We then applied a mixed-method approach to classifying the types of the related repository and code, the rationale of identifier references, and the severity level of vulnerabilities in the code. The results indicate that vulnerability identifiers in code comments are useful to notify security issues for the related source code, and our study widens up chances for future work to further investigate these problems.