scholarly journals A map of Research Data in Egypt … Towards a Strategic Management

2021 ◽  
pp. 7-58
Author(s):  
شريف كامل شاهين
Keyword(s):  
Data Management ◽  
National Level ◽  
Research Process ◽  
Research Data ◽  
Research Institutions ◽  
Research Data Management ◽  
Global Trend ◽  
Management Plans ◽  
Donor Agencies ◽  
Interest In Research

The world is experiencing unprecedented interest in Research Data Management (RDM), on three levels: the level of individual researchers themselves, the level of research institutions, and the national level. The researcher believes that there are three main reasons or motives behind interest in RDM, firstly to make most of the efforts and other resources and data collected for the benefit of several researches that share the target data with different dimensions, angles and methods of research. Secondly, Information technology also provides tools and software that facilitate most of the collection, organization, preservation, retrieval, documentation and insurance of data required for research projects in different fields and communities. Thirdly, the global trend of what is known as bibliometrics, altmetrics analytics and others. In fact, most of these research data analytics provide global indicators related to researchers and their research from several angles or dimensions, and take several forms, including: reports, lists and statistical sites either in specific areas of knowledge, or at a specific regional or global level without boundaries. It is now clear and announced by most donor agencies and institutions that financial support for research should ensure and ensure the successful management of research data at most stages of research as a prerequisite for obtaining grants, both during the research process and after completion. In this exploratory paper, which explores many international experiences and expertise in the field of research data management plans, the researcher is subjected to a precise inventory of research institutions in Egypt, whatever their names, fields, or administrative dependencies (universities, ministries, independent centers ...).

scholarly journals Plano de gestão de dados fair: uma proposta para a Fiocruz | Fair data management plan: a proposal for Fiocruz

2019 ◽  
Vol 15 (2) ◽  
Author(s):  
Viviane Santos de Oliveira Veiga ◽  
Patricia Henning ◽  
Simone Dib ◽  
Erick Penedo ◽  
Jefferson Da Costa Lima ◽  
...  
Keyword(s):  
Life Cycle ◽  
Data Management ◽  
Open Science ◽  
Management Plan ◽  
Research Data ◽  
Research Institutions ◽  
Research Data Management ◽  
Management Plans ◽  
Fair Principles

RESUMO Este artigo trás para discussão o papel dos planos de gestão de dados como instrumento facilitador da gestão dos dados durante todo o ciclo de vida da pesquisa. A abertura de dados de pesquisa é pauta prioritária nas agendas científicas, por ampliar tanto a visibilidade e transparência das investigações, como a capacidade de reprodutibilidade e reuso dos dados em novas pesquisas. Nesse contexto, os princípios FAIR, um acrônimo para ‘Findable’, ‘Accessible’, ‘Interoperable’ e ‘Reusable’ é fundamental por estabelecerem orientações basilares e norteadoras na gestão, curadoria e preservação dos dados de pesquisa direcionados para o compartilhamento e o reuso. O presente trabalho tem por objetivo apresentar uma proposta de template de Plano de Gestão de Dados, alinhado aos princípios FAIR, para a Fundação Oswaldo Cruz. A metodologia utilizada é de natureza bibliográfica e de análise documental de diversos planos de gestão de dados europeus. Concluímos que a adoção de um plano de gestão nas práticas cientificas de universidades e instituições de pesquisa é fundamental. No entanto, para tirar maior proveito dessa atividade é necessário contar com a participação de todos os atores envolvidos no processo, além disso, esse plano de gestão deve ser machine-actionable, ou seja, acionável por máquina.Palavras-chave: Plano de Gestão de Dados; Dado de Pesquisa; Princípios FAIR; PGD Acionável por Máquina; Ciência Aberta.ABSTRACT This article proposes to discuss the role of data management plans as a tool to facilitate data management during researches life cycle. Today, research data opening is a primary agenda at scientific agencies as it may boost investigations’ visibility and transparency as well as the ability to reproduce and reuse its data on new researches. Within this context, FAIR principles, an acronym for Findable, Accessible, Interoperable and Reusable, is paramount, as it establishes basic and guiding orientations for research data management, curatorship and preservation with an intent on its sharing and reuse. The current work intends to present to the Fundação Oswaldo Cruz a new Data Management Plan template proposal, aligned with FAIR principles. The methodology used is bibliographical research and documental analysis of several European data management plans. We conclude that the adoption of a management plan on universities and research institutions scientific activities is paramount. However, to be fully benefited from this activity, all actors involved in the process must participate, and, on top of that, this plan must be machine-actionable.Keywords: Data Management Plan; Research Data; FAIR Principles; DMP Machine-Actionable; Open Science.

scholarly journals Research Data Management in Austria – A manageable task for Austrian research institutions?

2015 ◽  
Author(s):  
Paolo Budroni ◽  
Barbara Sánchez Solís
Keyword(s):  
Data Management ◽  
National Level ◽  
Science Research ◽  
Legal Aspects ◽  
Research Data ◽  
Research Institutions ◽  
Data Types ◽  
Data Archiving ◽  
Research Data Management ◽  
The Status

See video of the presentation.At the start of 2015, scientific and artistic-scientific personnel of all 21 universities and three non-university research institutions in Austria were given the call to participate in an Austria-wide survey focusing on research data. The survey was conducted within the framework of the e-Infrastructures Austria (www.e-infrastructures.at) project funded by the Austrian Federal Ministry of Science, Research and Economics (BMWFW) and facilitates the evaluation of the actual, practical handling of digital data.The participants were asked about the following topics: data types and formats, data archiving, backup and loss, ethical and legal aspects, accessibility and reuse as well as infrastructure and services. The findings form the basis for a consecutive optimization of the e-infrastructure and services available in this area in accordance with the needs they have expressed.Solid research data management is the foundation for cooperative, open research and thus for their comprehensibility and verifiability. The issue is equally relevant and up-to-date for researchers, funding bodies and senior posts of scientific institutions, which is currently being demonstrated by the pilot for research data from the European Commission.The lecture provides insight into the planning, implementation and evaluation of this ambitious undertaking and presents the main results that will have an impact at national level. For the first time, the status quo of domestic data management is being presented in a manner that represents all disciplines. Organizational, structural and strategic measures for the development of e-infrastructures for individual institutions can then be derived using this data. In addition, it is possible through the co-ordinated, Austria-wide approach to identify common areas of responsibility and to establish central services.

Research Data Management Support at Kaunas University of Technology

2021 ◽  
pp. 52-71
Author(s):  
Ieva Cesevičiūtė ◽  
Gintarė Tautkevičienė
Keyword(s):  
Open Access ◽  
Data Management ◽  
National Level ◽  
Open Science ◽  
Research Data ◽  
Management Support ◽  
Research Data Management ◽  
University Of Technology ◽  
Management Plans ◽  
The Baltic

Kaunas University of Technology is one of the largest technical universities in the Baltic region. The university staff has been involved in different Open Access- and Open Science-related activities for more than a decade. Different initiatives have been implemented: stand-alone and series of training and awareness-raising events, promotion of Open Access and Open Science ideas so that institutions develop their Open Access policies and make their repositories compliant with larger research infrastructures. Within the institution, the initiatives of Open Science are implemented as a result of joint effort of the library, the departments of research, studies, and doctoral school. The current tasks involve revising the institutional Open Access guidelines and facilitating the implementation of data management plans in doctoral studies. In this chapter, the aim is to provide an overview of the efforts highlighting the successes and failures on the way to best practice in research data management support both institutionally and on the national level.

scholarly journals Research data management and services: Resources for novice data librarians

2017 ◽  
Vol 78 (5) ◽  
pp. 274 ◽  
Author(s):  
Sarah Barbrow ◽  
Denise Brush ◽  
Julie Goldman
Keyword(s):  
Life Cycle ◽  
Data Management ◽  
Academic Libraries ◽  
Research Data ◽  
Research Data Management ◽  
Academic Fields ◽  
Data Life Cycle ◽  
Management Plans ◽  
Share Data

Research in many academic fields today generates large amounts of data. These data not only must be processed and analyzed by the researchers, but also managed throughout the data life cycle. Recently, some academic libraries have begun to offer research data management (RDM) services to their communities. Often, this service starts with helping faculty write data management plans, now required by many federal granting agencies. Libraries with more developed services may work with researchers as they decide how to archive and share data once the grant work is complete.

Designing an information architecture for data management technologies: Introducing the DIAMANT model

2019 ◽  
Vol 52 (2) ◽  
pp. 592-600
Author(s):  
Katarina Blask ◽  
André Förster
Keyword(s):  
Data Management ◽  
Reference Model ◽  
Implementation Process ◽  
Research Process ◽  
Research Data ◽  
Information Architecture ◽  
Central Research ◽  
Research Data Management ◽  
Comprehensive Framework ◽  
The Ideal

Although research institutions take on increased responsibility for providing infrastructures and services around the proper handling of research data, there is no comprehensive framework addressing the ideal conditions of this implementation process. To overcome this gap, we present the DIAMANT model, a reference model aimed at providing an orientation framework for the implementation of research data management guided by the research process itself. It builds upon a central research data management information unit controlling the information flow between all other organizational units involved in research data management. Due to the possibility of outsourcing organizational units, the implementation process is maximally flexible and efficient.

scholarly journals Research Data Management: A proposed framework to boost research in Higher Educational Institutes.

10.29173/iq12 ◽  
2017 ◽  
Vol 41 (1-4) ◽  
pp. 12
Author(s):  
Bhojaraju Gunjal ◽  
Panorea Gaitanou
Keyword(s):  
Literature Review ◽  
Best Practices ◽  
Data Management ◽  
Skill Development ◽  
Research Process ◽  
Research Data ◽  
Research Data Management ◽  
Research Activities ◽  
Educational Institute ◽  
Higher Educational

This paper attempts to present a brief overview of several Research Data Management (RDM) issues and a detailed literature review regarding the RDM aspects adopted in libraries globally. Furthermore, it will describe several tendencies concerning the management of repository tools for research data, as well as the challenges in implementing the RDM. The proper planned training and skill development for all stakeholders by mentors to train both staff and users are some of the issues that need to be considered to enhance the RDM process. An effort will be also made to present the suitable policies and workflows along with the adoption of best practices in RDM, so as to boost the research process in an organisation. This study will showcase the implementation of RDM processes in the Higher Educational Institute of India, referring particularly to the Central Library @ NIT Rourkela in Odisha, India with a proposed framework. Finally, this study will also propose an area of opportunities that can boost research activities in the Institute.

scholarly journals Outside the R1: Equitable data management at the undergraduate level

2021 ◽  
Vol 45 (2) ◽  
Author(s):  
Elizabeth Blackwood
Keyword(s):  
Data Management ◽  
Management Practices ◽  
Undergraduate Curriculum ◽  
Research Data ◽  
Management Skills ◽  
State University System ◽  
Final Project ◽  
Research Data Management ◽  
Management Plans ◽  
Regional Universities

Universities within the California State University System are given the mandate to teach the students of the state, as is the case with many regional, public universities. This mandate places teaching first; however, research and scholarship are still required activities for reaching retention, tenure, and promotion, as well as important skills for students to practice. Data management instruction for both faculty and undergraduates is often omitted at these institutions, which fall outside of the R1 designation. This happens for a variety of reasons, including personnel and resource limitations. Such limitations disproportionately burden students from underrepresented populations, who are more heavily represented at these institutions. These students have pathways to graduate school and the digital economy, like their counterparts at R1s; thus, they are also in need of research data management skills. This paper describes and provides a scalable, low-resource model for data management instruction from the university library and integrated into a department’s capstone or final project curriculum. In the case study, students and their instructors participated in workshops and submitted data management plans as a requirement of their final project. The analysis will analyze the results of the project and focus on the broader implications of integrating research data management into undergraduate curriculum at public, regional universities. By working with faculty to integrate data management practices into their curricula, librarians reach both students and faculty members with best practices for research data management. This work also contributes to a more equitable and sustainable research landscape.

scholarly journals Research Data Management (RDM) at the University of Ghana (UG)

2020 ◽  
Vol 15 (1) ◽  
pp. 25
Author(s):  
Bright Kwaku Avuglah
Keyword(s):  
Data Management ◽  
Local Community ◽  
Research Problem ◽  
Research Data ◽  
Primary Data ◽  
Research Data Management ◽  
Strategic Approach ◽  
Interest In Research ◽  
The University ◽  
University Of Ghana

This article explores Research Data Management (RDM) at the University of Ghana (UG). It emphasises on institutional awareness and attitudes, and whether the University Library is officially supporting this emerging strategic interest in research focused Higher Education Institutions (HEIs). Purposive sampling was used to select information-rich respondents from across the University (i.e. Librarians, Research Administrators, ICT Managers and Senior Researchers) who were interviewed on a range of issues about RDM. Institutional documents were also reviewed to corroborate the primary data and get a deeper understanding of the research problem. The study shows that while RDM is recognised at the institutional level as good research practice and integrity issue, the concept is tenuously understood in the local community. Unsurprisingly, however, there was a general appreciation and awareness of the need for RDM and the implications for such critical concerns as security, integrity, continuity and institutional reputation. The library is yet to take a strategic approach to RDM issues and there is clearly a dearth in RDM expertise within the library system. The study recommends that the library must be proactive in advocating and promoting RDM issues at UG, but first, the Librarians must take advantage of numerous existing opportunities to build their capacity.  

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