scholarly journals Análisis de los principios para la descripción de datos de investigación mediante Datacite Metadata Schema

2020 ◽  
Vol 23 (1) ◽  
Author(s):  
Eder Ávila-Barrientos
Keyword(s):  
Discourse Analysis ◽  
Open Access ◽  
Data Access ◽  
Research Data ◽  
Data Sets ◽  
Data Repositories ◽  
Metadata Schema ◽  
Acceso Abierto ◽  
Methodological Principles ◽  
Access Policies

El objetivo de este trabajo consiste en analizar los principios teórico-metodológicos relacionados con la descripción de los datos de investigación. Se realizó un análisis sobre el estado de la cuestión de los datos de investigación, en cual se abordan aspectos de su citación, descripción y sistematización. Se identificaron y analizaron los elementos de metadatos para la descripción de conjuntos de datos de investigación que se incluyen en el DataCite Metadata Schema, con el propósito de crear una propuesta de perfil descriptivo aplicable a estos conjuntos. Se estima que, si los datos de investigación se encuentran debidamente descritos, entonces se fomentará en mayor grado su accesibilidad y reutilización. Para ello, es necesario que las instituciones académicas y de investigación participen en la generación de políticas de acceso abierto a sus datos de investigación. The objective of this work is to analyze the theoretical-methodological principles related to the description and accessibility of research data. Hermeneutics and discourse analysis were applied to literature specialized in: research data; access and description of research data; data repositories. Metadata elements for the description of research datasets that are included in the DataCite Metadata Schema were identified and analyzed, in order to create a descriptive profile proposal for research data sets, which can be applied in the data repositories. If the research data is properly described, then its accessibility and reuse will be further promoted. To do this, it is necessary for academic and research institutions to participate in the generation of open access policies for their research data.

Improvements for research data repositories: The case of text spam

2021 ◽  
pp. 016555152199863
Author(s):  
Ismael Vázquez ◽  
María Novo-Lourés ◽  
Reyes Pavón ◽  
Rosalía Laza ◽  
José Ramón Méndez ◽  
...  
Keyword(s):  
Web Application ◽  
Research Data ◽  
Data Sets ◽  
Data Repositories ◽  
Software Applications ◽  
Public Data ◽  
Protection Mechanisms ◽  
Experimental Protocols ◽  
Learning Research ◽  
Processing Steps

Current research has evolved in such a way scientists must not only adequately describe the algorithms they introduce and the results of their application, but also ensure the possibility of reproducing the results and comparing them with those obtained through other approximations. In this context, public data sets (sometimes shared through repositories) are one of the most important elements for the development of experimental protocols and test benches. This study has analysed a significant number of CS/ML ( Computer Science/ Machine Learning) research data repositories and data sets and detected some limitations that hamper their utility. Particularly, we identify and discuss the following demanding functionalities for repositories: (1) building customised data sets for specific research tasks, (2) facilitating the comparison of different techniques using dissimilar pre-processing methods, (3) ensuring the availability of software applications to reproduce the pre-processing steps without using the repository functionalities and (4) providing protection mechanisms for licencing issues and user rights. To show the introduced functionality, we created STRep (Spam Text Repository) web application which implements our recommendations adapted to the field of spam text repositories. In addition, we launched an instance of STRep in the URL https://rdata.4spam.group to facilitate understanding of this study.

Sharing Open Data in Agriculture

2021 ◽  
pp. 244-266
Author(s):  
Liah Shonhe
Keyword(s):  
Agricultural Sector ◽  
Open Data ◽  
Research Data ◽  
Data Sets ◽  
Research Activity ◽  
African Countries ◽  
Data Set ◽  
Data Repositories ◽  
Bibliographic Data ◽  
Prolific Authors

The main focus of the study was to explore the practices of open data sharing in the agricultural sector, including establishing the research outputs concerning open data in agriculture. The study adopted a desktop research methodology based on literature review and bibliographic data from WoS database. Bibliometric indicators discussed include yearly productivity, most prolific authors, and enhanced countries. Study findings revealed that research activity in the field of agriculture and open access is very low. There were 36 OA articles and only 6 publications had an open data badge. Most researchers do not yet embrace the need to openly publish their data set despite the availability of numerous open data repositories. Unfortunately, most African countries are still lagging behind in management of agricultural open data. The study therefore recommends that researchers should publish their research data sets as OA. African countries need to put more efforts in establishing open data repositories and implementing the necessary policies to facilitate OA.

A study of Open Access research data repositories developed by BRICS countries

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Safat Mushtaq Misgar ◽  
Ajra Bhat ◽  
Zahid Ashraf Wani
Keyword(s):  
Open Access ◽  
Emerging Economies ◽  
Research Policy ◽  
Research Output ◽  
Research Data ◽  
Data Repository ◽  
Research Activity ◽  
Data Repositories ◽  
Content Type ◽  
Subject Coverage

Purpose In the present era, research data is a concern for researchers, as they are trying to find new ways to communicate their research findings and conclusions to other researchers in order to increase visibility and credibility. BRICS nations are fast emerging economies and contribute significantly in research output. This study makes an effort to analyze and explore the role of BRICS nations towards open access research data repository registered with Registry of Research Data Repositories. Design/methodology/approach The data were gathered from re3data repository, and the search was limited to BRICS nations. The data were further analyzed and tabulated as per set parameters, namely, country-wise distribution, types of contents, subject coverage and language diversity. Findings The findings depict that in terms of strength, India has the highest number of data repositories, thereby achieved the first rank among BRICS nations, and South Africa has the least number of data repositories, whereas in terms of content type and subject coverage, India again is leading among BRICS nations. The English language is used by repositories as the main language of the interface. Practical implications The study helps to understand the development of research data repositories by BRICS nations. The study is further beneficial to researchers, as Registry of Research Data Repository provides a single platform to access repositories from various disciplines. Readily available data saves time, money and efforts of researchers and helps the researcher in completing their research activity in a very short span of time. Originality/value The paper has investigated open access data repositories of BRICS nation that has not been attempted earlier. This gives readers comprehensive overview of research data repositories developed in fast emerging economies of the global. The paper can be very helpful for information managers, OA promoters and education and research policy makers to devise plans and policy bearing in mind the evolving research channels in emerging economies.

scholarly journals Publishing descriptions of non-public clinical datasets: guidance for researchers, repositories, editors and funding organisations

2015 ◽  
Author(s):  
Iain Hrynaszkiewicz ◽  
Varsha Khodiyar ◽  
Andrew L Hufton ◽  
Susanna-Assunta Sansone
Keyword(s):  
Clinical Research ◽  
Data Sharing ◽  
Peer Review Process ◽  
Open Data ◽  
Data Access ◽  
Research Data ◽  
Future Research ◽  
Patient Privacy ◽  
Journal Articles ◽  
Data Repositories

AbstractSharing of experimental clinical research data usually happens between individuals or research groups rather than via public repositories, in part due to the need to protect research participant privacy. This approach to data sharing makes it difficult to connect journal articles with their underlying datasets and is often insufficient for ensuring access to data in the long term. Voluntary data sharing services such as the Yale Open Data Access (YODA) and Clinical Study Data Request (CSDR) projects have increased accessibility to clinical datasets for secondary uses while protecting patient privacy and the legitimacy of secondary analyses but these resources are generally disconnected from journal articles – where researchers typically search for reliable information to inform future research. New scholarly journal and article types dedicated to increasing accessibility of research data have emerged in recent years and, in general, journals are developing stronger links with data repositories. There is a need for increased collaboration between journals, data repositories, researchers, funders, and voluntary data sharing services to increase the visibility and reliability of clinical research. We propose changes to the format and peer-review process for journal articles to more robustly link them to data that are only available on request. We also propose additional features for data repositories to better accommodate non-public clinical datasets, including Data Use Agreements (DUAs).

scholarly journals Cultural and institutional barriers among data stewards regarding data access for research

2018 ◽  
Vol 3 (4) ◽  
Author(s):  
Jack Teng ◽  
Kim McGrail
Keyword(s):  
British Columbia ◽  
Risk Aversion ◽  
Linked Data ◽  
Data Access ◽  
Cultural Factors ◽  
Data Sets ◽  
Institutional Barriers ◽  
Numerous Data ◽  
Access To Data ◽  
Access Policies

IntroductionIn British Columbia, the rules and procedures that data stewards follow to adjudicate data access requests (DAR) vary considerably. These variations can lead to discrepancies in the speed at which DARs are processed. With complex DARs involving numerous data stewards and data sets, the request may take over a year Objectives and ApproachOur main goal was to understand the institutional and cultural factors that influence data stewards when processing a DAR. We wished to see in particular if risk aversion was playing a role when making decisions about data access. We interviewed 24 people representing 21 organizations in British Columbia. Most were data stewards, but we also interviewed people processing the data requests and also privacy advisors. ResultsWe found that organizations varied greatly in terms of their skills and expertise regarding the rules and procedures around processing DARs. In particular, data stewards noted that they experienced differences in interpreting legislation, resulting in disagreements when they were working with other data stewards. In terms of risk aversion, data stewards stated they wished to encourage research, but in some cases followed unclear rules. Nearly all noted that there is little guidance provided for the job of “data steward” and either no or very little training when taking on these positions. Conclusion/ImplicationsWhile there may be stated governmental policies promoting that linked data be used for research, ultimately it is the data stewards approving DARs that will determine access to data. Understanding how and why they make those decisions will help better implement data access policies.

Data management planning and repository demands for qualitative research

KWALON ◽  
2016 ◽  
Vol 21 (1) ◽  
Author(s):  
René van Horik
Keyword(s):  
Data Management ◽  
Research Data ◽  
Digital Data ◽  
Data Repository ◽  
Data Sets ◽  
Data Repositories ◽  
Management Planning ◽  
Research Activities ◽  
Trusted Data ◽  
New Research

Summary Nowadays, research without a role for digital data and data analysis tools is barely possible. As a result, we see an increasing interest in research data management, as this enables the replication of research outcomes and the reuse of research data for new research activities. Data management planning outlines how to handle data, both during research and after the research is completed. Trusted data repositories are places were research data are archived and made available for the long term. This article covers the state of the art concerning data management and data repository demands with a focus on qualitative data sets.

Libros en abierto de las editoriales universitarias españolas

2021 ◽  
Author(s):  
Rosana López-Carreño ◽  
Ángel M. Delgado-Vázquez ◽  
Francisco-Javier Martínez-Méndez
Keyword(s):  
Open Access ◽  
Public Universities ◽  
Grey Literature ◽  
Open Science ◽  
Open Access Publishing ◽  
Academic Publishing ◽  
Scientific Publications ◽  
Acceso Abierto ◽  
Spanish Public Universities ◽  
Access Policies

This paper analyses the set of scientific publications in open access, other than journals (monographs, conferences proceedings, teaching materials and grey literature), published by Spanish public universities, studying their volume, documentary typology, level of description and open access policies with the aim of measuring their degree of incorporation and compliance with the principles of Open Science. An exhaustive review of the disposed material in open access by these publishers has been carried out, which has allowed to make a diagnosis of their level of open access publishing. Grey literature is the most common documentary type followed by the monograph, in the open publication of these publishers that does not reach even 5% of the average editorial production. The results allow us to conclude that the academic publishing, and more specifically the academic books in open access, still has a very reduced presence within the editorial production of these institutions. Resumen Este trabajo analiza el conjunto de las publicaciones científicas en acceso abierto, distintas de las revistas científicas (monografías, actas de congresos, materiales didácticos y literatura gris), dispuestas para su consulta por las editoriales universitarias públicas, estudiando su volumen, tipología documental, nivel de descripción y políticas de acceso abierto con el objetivo de medir el grado de incorporación y cumplimiento de los principios de Ciencia Abierta. Se ha llevado a cabo una exhaustiva revisión del material publicado en acceso abierto por estas editoriales que ha permitido establecer un diagnóstico de su nivel de edición en acceso abierto. La literatura gris es el tipo documental más frecuente seguido de la monografía, en la publicación en abierto de las editoriales universitarias que no alcanza ni el 5% de la producción editorial universitaria. Los resultados permiten concluir que la publicación académica, y más concretamente el libro en acceso abierto, sigue teniendo una presencia muy reducida dentro de la producción editorial de estas instituciones.

scholarly journals Österreichische Repositorien in OpenDOAR und re3data.org: Entwicklung und Status von Infrastrukturen für Green Open Access und Forschungsdaten

2018 ◽  
Vol 71 (1) ◽  
pp. 70-86
Author(s):  
Bruno Bauer ◽  
Andreas Ferus
Keyword(s):  
Open Access ◽  
Open Science ◽  
Research Data ◽  
Status Quo ◽  
Data Repositories

Der vorliegende Beitrag beleuchtet die Entwicklung und den Status Quo von Repositorien in Österreich. Diese haben mit dem Hochschulraumstrukturmittelprojekt e-Infrastructures Austria einen wichtigen Impuls bekommen. Während in den Jahren nach der „Berliner Erklärung über den offenen Zugang zu wissenschaftlichem Wissen“ (2003) vor allem die Bereiche Publikationen und Green Open Access bearbeitet wurden, rückten in jüngster Zeit insbesondere durch die European Open Science Cloud (EOSC) auch Forschungsdaten zunehmend in den Fokus des Interesses. Dieser Aufschwung spiegelt sich auch in der laufenden Steigerung der im Directory of Open Access Repositories (OpenDOAR) und im Registry of Research Data Repositories (re3data.org) erfassten österreichischen Repositorien wider. Mittels statistischer Auswertungen wurde erhoben, welche Dokumententypen in diesen Repositorien aufgenommen werden, welche Fachgebiete sie repräsentieren, welchen Umfang sie aufweisen, welche Software eingesetzt wird, ob bereits notwendige Schnittstellen (wie z.B. OAI) vorhanden sind und welche Policies für die jeweiligen Repositorien verfolgt werden.

Adapting Reproducible Research Capabilities to Resilient Distributed Calculations

2016 ◽  
Vol 8 (1) ◽  
pp. 58-69
Author(s):  
Manuel Rodríguez-Pascual ◽  
Christos Kanellopoulos ◽  
Antonio Juan Rubio-Montero ◽  
Diego Darriba ◽  
Ognjen Prnjat ◽  
...  
Keyword(s):  
Open Access ◽  
Fault Tolerant ◽  
Data Access ◽  
Distributed Applications ◽  
Reproducible Research ◽  
Data Repositories ◽  
Metadata Standards ◽  
Definition Of ◽  
And Control ◽  
Application Developers

Nowadays, computing calculations are becoming more and more demanding due to the huge pool of resources available. This demand must be satisfied in terms of computational efficiency and resilience, which is compromised in distributed and heterogeneous platforms. Not only this, data obtained are often either reused by other researchers or recalculated. In this work, a set of tools to overcome the problem of creating and executing fault tolerant distributed applications on dynamic environments is presented. Such a set also ensures the reproducibility of the performed experiments providing a portable, unattended and resilient framework that encapsulates the infrastructure-dependent operations away from the application developers and users, allowing performing experiments based on Open Access data repositories. In this way, users can seamlessly search and lately access datasets that can be automatically retrieved as input data into a code already integrated in the proposed workflow. Such a search is based on metadata standards and relies on Persistent Identifiers (PID) to assign specific repositories. The applications profit from Distributed Toolbox, a framework devoted to the creation and execution of distributed applications and includes tools for unattended cluster and grid execution, where a total fault tolerance is provided. By decoupling the definition of the remote tasks from its execution and control, the development, execution and maintenance of distributed applications is significantly simplified with respect to previous solutions, increasing their robustness and allowing running them on different computational platforms with little effort. The integration with Open Access databases and employment of PIDs for long-lasting references ensures that the data related to the experiments will persist, closing a complete research circle of data access/processing/storage/dissemination of results.

re3data COREF – Enhancing the re3data service as a community-driven and trustworthy resource for research data repositories and portals

2021 ◽  
Author(s):  
Nina Weisweiler ◽  
Kirsten Elger ◽  
Robert Ulrich ◽  
Michael Witt ◽  
Lea Maria Ferguson ◽  
...  
Keyword(s):  
Research Data ◽  
Third Party ◽  
Model Concept ◽  
German Research Foundation ◽  
Data Repositories ◽  
Digital Repositories ◽  
Metadata Schema ◽  
Scientific Organizations ◽  
Scientific Disciplines ◽  
Global Registry

<p>re3data is the global registry for research data repositories. As of January 2021, the service lists over 2620 digital repositories across all scientific disciplines and provides an extensive description of repositories based on a detailed metadata schema (https://doi.org/10.2312/re3.008). A variety of funders, publishers, and scientific organizations around the world refer to re3data within their guidelines and policies, recommending the service to researchers looking for appropriate repositories for storage and discovery of research data. With over 750 entries the field of geosciences is one of the most strongly represented subject groups in the registry.</p><p>The re3data COREF project (Community Driven Open Reference for Research Data Repositories) started in January 2020 and receives funding from the German Research Foundation (DFG) for 36 months. With its main focus on the current project the presentation will outline the further professionalization of re3data and the provision of reliable and individualizable descriptions of research data repositories. This includes updates and revisions of the metadata schema, the advancement of the technical infrastructure as well as an enhanced overall (technical) service model concept to embed and connect the service within the research data landscape as a community-driven source and reference for trustworthy repositories.</p><p>In addition, outcomes from the first re3data COREF stakeholder survey and workshop held in November 2020 will be presented, introducing diverse use cases of the re3data service and examples for the reuse of its metadata. The presentation will address how re3data currently interlinks with external parties and how more advanced options for easier and trustworthy integration of third-party information can be facilitated.</p>

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