Search

Abstract Background As evidence related to the COVID-19 pandemic surged, databases, platforms, and repositories evolved with features and functions to assist users in promptly finding the most relevant evidence. In response, research synthesis teams adopted novel searching strategies to sift through the vast amount of evidence to synthesize and disseminate the most up-to-date evidence. This paper explores the key database features that facilitated systematic searching for rapid evidence synthesis during the COVID-19 pandemic to inform knowledge management infrastructure during future global health emergencies. Methods This paper outlines the features and functions of previously existing and newly created evidence sources routinely searched as part of the NCCMT’s Rapid Evidence Service methods, including databases, platforms, and repositories. Specific functions of each evidence source were assessed as they pertain to searching in the context of a public health emergency, including the topics of indexed citations, the level of evidence of indexed citations, and specific usability features of each evidence source. Results Thirteen evidence sources were assessed, of which four were newly created and nine were either pre-existing or adapted from previously existing resources. Evidence sources varied in topics indexed, level of evidence indexed, and specific searching functions. Conclusion This paper offers insights into which features enabled systematic searching for the completion of rapid reviews to inform decision makers within 5–10 days. These findings provide guidance for knowledge management strategies and evidence infrastructures during future public health emergencies.

Background: As evidence related to the COVID-19 pandemic surged, databases, platforms, and repositories evolved with features and functions to assist users in promptly finding the most relevant evidence. In response, research synthesis teams adopted novel searching strategies to sift through the vast amount of evidence to synthesize and disseminate the most up-to-date evidence. This paper explores the key database features that facilitated systematic searching for rapid evidence synthesis during the COVID-19 pandemic to inform knowledge management infrastructure during future global health emergencies. Methods: This paper outlines the features and functions of previously existing and newly created evidence sources routinely searched as part of the NCCMT's Rapid Evidence Service methods, including databases, platforms, and repositories. Specific functions of each evidence source were assessed as they pertain to searching in the context of a public health emergency, including the topics of indexed citations, the level of evidence of indexed citations, and specific usability features of each evidence source. Results: Thirteen evidence sources were assessed, of which four were newly created and nine were either pre-existing or adapted from previously existing resources. Evidence sources varied in topics indexed, level of evidence indexed, and specific searching functions. Conclusion: This paper offers insights into which features enabled systematic searching for the completion of rapid reviews to inform decision makers within 5–10 days. These findings provide guidance for knowledge management strategies and evidence infrastructures during future public health emergencies. [ABSTRACT FROM AUTHOR]

The green open access (OA) model, which offers the most economical approach to comply with open access policies, can increase researchers' audience and scientific outputs impact by delivering wider and easier access. This study examined researchers' perceptions from STEM (science, technology, engineering, math) and SSH (social sciences, art and humanities) disciplines in order to reveal the types, patterns, motives, and challenges underlying their articles' self-archiving in the green route to open-access (repositories and institutional repositories) and ASNs (academic social networks). Interviews were conducted with 20 Israeli academic researchers. Half were from STEM and half from SSH disciplines. Interviews were mapped using a bottom-up thematic analysis and follow-up quantitative comparisons. According to the findings, STEM researchers self-archived pre/post-print versions of their articles to subject-based repositories as a part of their discipline norm resulting from their funding grant requirements and as a way to receive recognition and claim priority. SSH researchers post a link to the printed-published article at the publisher's website in ASNs, and their goal is greater visibility. In addition, findings indicate a lack of awareness, mostly by SSH researchers, regarding copyright issues and OA repositories. The green OA model provides opportunities for researchers to self-archive their work. However, there are differences between the disciplines regarding where, when, why, and how to self-archive, and what is considered a legitimate mode of green OA. This indicates an urgent need to raise SSH researchers' awareness of the existence of open subject-based repositories and of the terms of self-archiving from publishers. [ABSTRACT FROM AUTHOR]

Background Data reusability is the driving force of the research data life cycle. However, implementing strategies to generate reusable data from the data creation to the sharing stages is still a significant challenge. Even when datasets supporting a study are publicly shared, the outputs are often incomplete and/or not reusable. The FAIR (Findable, Accessible, Interoperable, Reusable) principles were published as a general guidance to promote data reusability in research, but the practical implementation of FAIR principles in research groups is still falling behind. In biology, the lack of standard practices for a large diversity of data types, data storage and preservation issues, and the lack of familiarity among researchers are some of the main impeding factors to achieve FAIR data. Past literature describes biological curation from the perspective of data resources that aggregate data, often from publications. Methods Our team works alongside data-generating, experimental researchers so our perspective aligns with publication authors rather than aggregators. We detail the processes for organizing datasets for publication, showcasing practical examples from data curation to data sharing. We also recommend strategies, tools and web resources to maximize data reusability, while maintaining research productivity. Conclusion We propose a simple approach to address research data management challenges for experimentalists, designed to promote FAIR data sharing. This strategy not only simplifies data management, but also enhances data visibility, recognition and impact, ultimately benefiting the entire scientific community.

Open science is becoming one of the modern trends and a permanent object of study, including awareness and attitude of scientists from different countries, involvement of subject areas and individual scientific institutions. The purpose of the study is to investigate the attitude of users engaged in research activities in institutions of higher professional education, research organizations and manufacturing enterprises, united in the world-class West Siberian Interregional Scientific and Educational Center, to open science. When composing the questionnaire consisting of 38 questions, a comprehensive approach to the study of the problem was used, The questionnaire has six sections that reflect the most important aspects necessary to study the attitude of researchers to open scientific publications and their awareness of this issue. The survey involves 563 respondents whose research interests are related to various subject areas. The survey revealed their attitudes towards open access publishing of research results, their knowledge of open access resources, open science communications and data sharing principles, as well as emerging issues and concerns about open access initiatives. The study is practically important for the development of recommendations for forming information culture of users from higher education institutions in the field of open science. It is also important for the development of new directions in the activities of university libraries, and in this regard to that of methodology for the basis of training programs for library professionals in the framework of additional and professional education.

The International Nuclear Information System (INIS) is a repository managed by the International Atomic Energy Agenfcy that provides bibliographic information and full-text documents related to nuclear science and technology. This repository is an open platform that receives contributions of grey literature from its member states and is accessible to the public through the INIS Repository Search website. Site administrators use Google Search Console to track the queries that led users to specific documents or bibliographic references within the repository. Administrators have observed that certain queries recur dozens to hundreds of times in a matter of a few days, then disappear. The queries use an identical phrase or slight variations and come from a single country. Examples include, "How is Carbon 13 used in medicine?", or "What are methods for detecting heavy metals in water", or "What is the environmental effect of charcoal burning in Zambia." Through the data gathered from these queries, it is possible to construct user narratives to determine if the repository is meeting the needs of its various audiences. A user narrative is an extended description of the user, their circumstances, and their wants, which is distinct from a user story -- a more formal and short description of a user's needs used in system design. As an example, consider the query related to charcoal burning in Zambia. Based on the frequent queries related to this topic, it can be inferred that the user is likely a student researching a school assignment. Additionally, it is possible that the user is accessing the repository from a mobile device or school computer and is seeking authoritative and user-friendly information that answers their specific question. By accessing the repository as the described user, we can understand their experience and identify areas where the repository could be improved. In a repository, success can be defined as meeting the user's needs and providing information in a user-friendly manner. By conducting this exercise for underrepresented or non-represented groups and addressing the problems identified, the repository can increase its success, equity, and opportunity. Overall, constructing user narratives based on actual queries can provide valuable insights into how to improve information services and make them more equitable and accessible. [ABSTRACT FROM AUTHOR]

This paper explores the landscape of research data in the humanities in the European context, delving into their diversity and the challenges of defining and sharing them. It investigates three aspects: the types of data in the humanities, their representation in repositories, and their alignment with the FAIR principles (Findable, Accessible, Interoperable, Reusable). By reviewing datasets in repositories, this research determines the dominant data types, their openness, licensing, and compliance with the FAIR principles. This research provides important insight into the heterogeneous nature of humanities data, their representation in the repository, and their alignment with FAIR principles, highlighting the need for improved accessibility and reusability to improve the overall quality and utility of humanities research data. [ABSTRACT FROM AUTHOR]

Diverse initiatives promote the responsible development, deployment and use of Artificial Intelligence (AI). AI incident databases have emerged as a valuable and timely learning resource and tool in AI governance. This article assesses the value of such databases and outlines how this value can be enhanced. It reviews four databases: the AI Incident Database, the AI, Algorithmic, and Automation Incidents and Controversies Repository, the AI Incident Tracker and Where in the World Is AI. The article provides a descriptive analysis of these databases, examines their objectives, and locates them within the landscape of initiatives that advance responsible AI. It reflects on their primary objective, i.e. learning from mistakes to avoid them in the future, and explores how they might benefit diverse stakeholders. The article supports the broader uptake of these databases and recommends four key actions to enhance their value.

This study highlights the role of Research Data Repositories (RDRs) in the concept of data reuse by examining a use case on migration research, a domain that requires up-to-date and accurate data for research and policy purposes. The survey from which the data for the use case was derived aimed to investigate the alignment of humanitarian assistance and social protection in Greece during the post-2015 refugee crisis. Through our analysis, we try to formulate a new corpus of variables and information that can create a value chain for research and policy purposes related to migration research, as well as to draw useful conclusions from this use case study in relation to the concept of data reuse. We address several issues related to data reuse, such as its definition, the role of research data repositories and research infrastructures in data reuse, as well as the limitations and advantages of reuse. We also present some specific features of the SoDaNet RDR, which hosts the primary data. We argue that comprehensive documentation of data adds value to the data and, through reuse, this value can be recycled to the RDR and, therefore, to potential new reusers. [ABSTRACT FROM AUTHOR]

This 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. [ABSTRACT FROM AUTHOR]

Copyright of Revista EntreLínguas is the property of Revista EntreLinguas and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This is a review of the monograph Discoverability in digital repositories : systems, perspectives, and user studies, published by Routledge in 2023.

This article, titled "Editorial: Navigating the landscape of FAIR data sharing and reuse: repositories, standards, and resources," discusses the challenges and advancements in data management, sharing, and mining in the field of neuroscience. The article emphasizes the importance of adhering to the FAIR principles (findable, accessible, interoperable, and reusable) in order to effectively explore, integrate, and reuse datasets. It highlights various resources and repositories that support FAIR data sharing, including Brain-CODE, COINSTAC Vaults, Image and Data Archive (IDA), GAAIN, DPUK, and ADDI. The article also addresses the need for regulatory frameworks for non-human data and the standardization of metadata for neuroimaging and anatomical studies. Overall, the article aims to promote data sharing, reproducibility, and collaboration in neuroscience research. [Extracted from the article]

The issue of reflecting the scientific achievements of individual scientists and the results of research activities of research teams in the information environment is of great importance for many branches of science and practice, including medicine, where open data can improve the provision of medical care and influence healthcare policy. The effectiveness of search queries and the further effective use of the data obtained in research and practice, especially during epidemics and the treatment of serious diseases, largely depend on accessibility of medical information. Scientific repositories allow the management of all kinds of research results, integration with information systems, and compliance with the FAIR principles. The aim of the study is to identify and analyze development, indexing (in catalogs), visibility by search engines, type-specific characteristics, etc., of open access medical repositories in Russia and abroad. As a result, of the study, the following conclusions are made: 1) the number of repositories in the world is growing, including an increase in their number in the subject area “Medicine and Health”; 2) the infrastructure of Russian open access information platforms is being formed. However, open medical repositories are being developed poorly, most part of which is not represented in global catalogs (OpenDOAR) and is incompatible with the OAI-PMN standard, which allows the collection of data from repositories by various search engines. Thus, the research results are invisible in Internet search results, and Russian medical repositories are not present in the rankings of world repositories.

This study highlights the role of Research Data Repositories (RDRs) in the concept of data reuse by examining a use case on migration research, a domain that requires up-to-date and accurate data for research and policy purposes. The survey from which the data for the use case was derived aimed to investigate the alignment of humanitarian assistance and social protection in Greece during the post-2015 refugee crisis. Through our analysis, we try to formulate a new corpus of variables and information that can create a value chain for research and policy purposes related to migration research, as well as to draw useful conclusions from this use case study in relation to the concept of data reuse. We address several issues related to data reuse, such as its definition, the role of research data repositories and research infrastructures in data reuse, as well as the limitations and advantages of reuse. We also present some specific features of the SoDaNet RDR, which hosts the primary data. We argue that comprehensive documentation of data adds value to the data and, through reuse, this value can be recycled to the RDR and, therefore, to potential new reusers.

Copyright of Iluminuras is the property of Revista Iluminuras and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The number of national, institutional, and subject repositories of grey literature has increased dramatically over recent years. The Directory of Open Access Repositories (OpenDOAR) currently lists 5848 repositories, a 75% increase over the last five years. Most of these repositories hold grey literature of one type or another. The degree of development of these repositories is mixed, some are of questionable quality while others are exemplars, so it is useful to define what constitutes a well-developed repository. A well-developed repository can be seen as one that meets the needs of end users, as well as the interests of authors and sponsoring organizations. Characteristics, such as timeliness, openness, user-friendliness, accuracy, and completeness, are proposed as those which meet user and institutional needs and define the degree of development for a given repository. Timeliness refers to the speed at which materials in the scope of the repository are made available to the public. Openness is the degree to which material is accessible as well as shareable. User-friendliness is a subjective quality but is defined by the ease of use of the repository's user interface. Accuracy can be measured in many ways - the verisimilitude of metadata, the suitability of indexes and search results, the percentage of dead links to external resources such as full text, and other measures. Finally, completeness describes how well a repository encompasses its scope. The International Nuclear Information System (INIS) has been in operation since 1970 as a repository for grey and traditional literature in all areas of nuclear science and technology. It existed before the wide adoption of information management principles, and invented methods and workflows to fulfil its mission. Therefore, there are gaps between the ideal repository, embodied in the outlined characteristics, and the repository as it currently stands. These gaps are identified and solutions, as well as a plan for implementation, are proposed. [ABSTRACT FROM AUTHOR]

Copyright of TE & ET: Revista Iberoamericana de Tecnología en Educación y Educación en Tecnología is the property of School of Computer Science, La Pata University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper assesses the data management of digitized Indigenous knowledge systems (IKS) in IKS repositories in South Africa. The study adopted a qualitative research method. The multiple case study research design was adopted to collect data from eight respondents in four Indigenous Knowledge Systems Documentation Centres (IKSDCs) in repositories spread across three provinces in South Africa. The findings revealed that the Department of Science and Technology (DST) coordinates the national IKS programmes under the National Recordal System (NRS) and they are responsible for the management of digitized IKS. The findings also revealed that although the National Indigenous Knowledge Management System (NIKMAS) was built for the management of the data, the system is still in its planning phase, and work is still in progress. In addition, it was discovered that information professionals like archivists and records managers are currently not involved in the management of IKS data in the repositories. The paper offers recommendations on the data management and storage of IKS, data description, mitigating the challenges, and some measures to help ensure the authenticity of the IKS data collected in the repositories. [ABSTRACT FROM AUTHOR]

Copyright of Revista del Museo de Antropología is the property of Museo de Antropologia - IDACOR and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

This paper explores the landscape of research data in the humanities in the European context, delving into their diversity and the challenges of defining and sharing them. It investigates three aspects: the types of data in the humanities, their representation in repositories, and their alignment with the FAIR principles (Findable, Accessible, Interoperable, Reusable). By reviewing datasets in repositories, this research determines the dominant data types, their openness, licensing, and compliance with the FAIR principles. This research provides important insight into the heterogeneous nature of humanities data, their representation in the repository, and their alignment with FAIR principles, highlighting the need for improved accessibility and reusability to improve the overall quality and utility of humanities research data.

How aggregators reconcile repositories' user-supplied subject keywords is a growing challenge in the metadata profession. While aggregators allow users to search across multiple databases to find information, the search capability is only as good as the supplied metadata. This paper is a case study of a project to reconcile harvested metadata keywords within a research data discovery service. The Federated Research Data Repository (FRDR) Discovery Service is a national, bilingual platform for discovering Canadian research data that harvests metadata from over 90 repositories. This paper outlines the work of a cross-Canada, volunteer group of experts who attempted to develop a semi-automated workflow to map the FRDR subject keywords to Faceted Application of Subject Terminology (FAST) to improve discoverability. The authors, who were members of the working group, discuss why the project failed, the problems encountered, and their thoughts on the future of automated metadata reconciliation. [ABSTRACT FROM AUTHOR]

Diverse initiatives promote the responsible development, deployment and use of Artificial Intelligence (AI). AI incident databases have emerged as a valuable and timely learning resource and tool in AI governance. This article assesses the value of such databases and outlines how this value can be enhanced. It reviews four databases: the AI Incident Database, the AI, Algorithmic, and Automation Incidents and Controversies Repository, the AI Incident Tracker and Where in the World Is AI. The article provides a descriptive analysis of these databases, examines their objectives, and locates them within the landscape of initiatives that advance responsible AI. It reflects on their primary objective, i.e. learning from mistakes to avoid them in the future, and explores how they might benefit diverse stakeholders. The article supports the broader uptake of these databases and recommends four key actions to enhance their value. [ABSTRACT FROM AUTHOR]

Between 2016 and 2019, the Wrocław Medical University took part in the partnership project “e-scienceplus.pl Active Information Platform” led by the Wrocław University of Technology. As a result of the involvement of the WMU Main Library, a collection of library resources dedicated to medical science and education in the 19th and early 20th centuries was created and made available on the AZON platform. The digitisation process involved several steps, from setting the criteria to select documents for digitisation, to creating metadata and substantive content descriptions, to digital processing and file conversion to specific formats. During the staged implementation process, a proprietary IT tool was used to support work organisation and control. The project continues under the name “Open Science 2.0 Resource Atlas”. Both projects were financed from European Union funds under the Operational Programme Digital Poland.

Manual vulnerability evaluation tools produce erroneous data and lead to difficult analytical thinking. Such security concerns are exacerbated by the variety, imperfection, and redundancies of modern security repositories. These problems were common traits of producers and public vulnerability disclosures, which make it more difficult to identify security flaws through direct analysis through the Internet of Things (IoT). Recent breakthroughs in Machine Learning (ML) methods promise new solutions to each of these infamous diversification and asymmetric information problems throughout the constantly increasing vulnerability reporting databases. Due to their varied methodologies, those procedures themselves display varying levels of performance. The authors provide a method for cognitive cybersecurity that enhances human cognitive capacity in two ways. To create trustworthy data sets, initially reconcile competing vulnerability reports and then pre-process advanced embedded indicators. This proposed methodology's full potential has yet to be fulfilled, both in terms of its execution and its significance for security evaluation in application software. The study shows that the recommended mental security methodology works better when addressing the above inadequacies and the constraints of variation among cybersecurity alert mechanisms. Intriguing trade-offs are presented by the experimental analysis of our program, in particular the ensemble method that detects tendencies of computational security defects on data sources.

Background: New challenges for diagnosis of HIV infection abound, including the impact on key viral and immunological markers of HIV vaccine studies, pre-exposure prophylaxis usage and breakthrough infections, and very early initiation of anti-retroviral treatment. These challenges impact the performance of current diagnostic assays, and require suitable specimens for development and evaluation. In this article we review and describe an archive developed by the Consortium for the Evaluation and Performance of HIV Incidence Assays (CEPHIA), in order to identify the critical features required to create a centralized specimen archive to support these current and future developments. Review and Findings: We review and describe the CEPHIA repository, a large, consolidated repository comprised of over 31,000 highly-selected plasma samples and other body fluid specimen types, with over 50 purposely designed specimen panels distributed to 19 groups since 2012. The CEPHIA repository provided financial return on investment, supported the standardization of HIV incidence assays, and informed guidance and standards set by the World Health Organization and UNAIDS. Unified data from extensively characterized specimens has allowed this resource to support biomarker discovery, assay optimization, and development of new strategies for estimating duration of HIV infection. Critical features of a high-value repository include 1) extensively-characterized samples, 2) high-quality clinical background data, 3) multiple collaborations facilitating ongoing sample replenishment, and 4) sustained history of high-level specimen utilization. Conclusion: With strong governance and leadership, a large consolidated archive of samples from multiple studies provides investigators and assay developers with easy access to diverse samples designed to address challenges associated with HIV diagnosis, helping to enable improvements to HIV diagnostic assays and ultimately elimination of HIV. Its creation and ongoing utilization should compel funders, institutions and researchers to address and improve upon current approaches to sharing specimens.

Abstract Background Tremendous amounts of data generated from microbiome research studies during the last decades require not only standards for sampling and preparation of omics data but also clear concepts of how the metadata is prepared to ensure re-use for integrative and interdisciplinary microbiome analysis. Results In this Commentary, we present our views on the key issues related to the current system for metadata submission in omics research, and propose the development of a global metadata system. Such a system should be easy to use, clearly structured in a hierarchical way, and should be compatible with all existing microbiome data repositories, following common standards for minimal required information and common ontology. Although minimum metadata requirements are essential for microbiome datasets, the immense technological progress requires a flexible system, which will have to be constantly improved and re-thought. While FAIR principles (Findable, Accessible, Interoperable, and Reusable) are already considered, international legal issues on genetic resource and sequence sharing provided by the Convention on Biological Diversity need more awareness and engagement of the scientific community. Conclusions The suggested approach for metadata entries would strongly improve retrieving and re-using data as demonstrated in several representative use cases. These integrative analyses, in turn, would further advance the potential of microbiome research for novel scientific discoveries and the development of microbiome-derived products.

Efforts in development of germplasm repositories to preserve genetic resources of aquatic species are impeded globally by a lack of standardized, inexpensive, reproducible, and portable cryopreservation technologies. The present work demonstrates a 3-D printed standardizable freezing device that can be used with nitrogen vapor shipping dewars for on-site sperm cryopreservation for aquatic species and be distributed as open-hardware. This device could hold 22 French straws (0.25-mL or 0.5-mL) and a quick-release ring design could eject straws directly into a canister inside a dewar by pressing a button after freezing. The final prototypes produced cooling rates of 1 to 68°C/min for 0.25-mL straws, and 3 to 37°C/min for 0.5-mL straws with a material cost of 3.5 USD for a single device and 1,820–2,562 USD for batch production of 20 replicates (including labor and purchase of 3-D printers). Progressing through design, prototyping, and testing was delineated to help guide the development of open-source devices within cryopreservation user communities. [ABSTRACT FROM AUTHOR]

This article focuses on the accessibility of repositories, with an emphasis on users with physical disabilities. Expert and user interviews as well as automated and manual tests of 25 library repositories were conducted to learn about the status quo and to suggest possible improvements. The assessments of the interviewees and the test results present an insight into the current situation and offer suggestions regarding raising awareness, providing instruction material for users and librarians and integrating accessibility checks into the workflow. The article summarizes the results of a project for the study programme Library and Information Studies. [ABSTRACT FROM AUTHOR]

Copyright of TECHNO Review is the property of Eurasia Academic Publishing Group and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Revista de Ingenieria, Matematicas y Ciencias de la Informacion is the property of Corporacion Universitaria Republicana and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Research data management (RDM) is needed to assist experimental advances and data collection in the chemical sciences. Many funders require RDM because experiments are often paid for by taxpayers and the resulting data should be deposited sustainably for posterity. However, paper notebooks are still common in laboratories and research data is often stored in proprietary and/or dead‐end file formats without experimental context. Data must mature beyond a mere supplement to a research paper. Electronic lab notebooks (ELN) and laboratory information management systems (LIMS) allow researchers to manage data better and they simplify research and publication. Thus, an agreement is needed on minimum information standards for data handling to support structured approaches to data reporting. As digitalization becomes part of curricular teaching, future generations of digital native chemists will embrace RDM and ELN as an organic part of their research. [ABSTRACT FROM AUTHOR]