scholarly journals Research Data Management in Research Institutions in Zimbabwe

2017 ◽  
Vol 16 (0) ◽  
pp. 31 ◽  
Author(s):  
Josiline Chigwada ◽  
Blessing Chiparausha ◽  
Justice Kasiroori
Keyword(s):  
Data Management ◽  
Research Data ◽  
Research Institutions ◽  
Research Data Management

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 Pengembangan repositori data pada lembaga riset dengan status Pusat Unggulan Ilmu Pengetahuan dan Teknologi

2021 ◽  
Vol 9 (1) ◽  
pp. 1
Author(s):  
Cahyo Trianggoro ◽  
Tupan Tupan ◽  
Mohamad Djaenudin ◽  
Noorika Retno Widuri ◽  
Rochani Nani Rahayu
Keyword(s):  
Data Management ◽  
Research Data ◽  
Research Institutions ◽  
Institutional Repositories ◽  
Cultural Organization ◽  
Research Data Management ◽  
Center Of Excellence ◽  
Research And Innovation ◽  
Research Activities ◽  
Study Results

National regulations in science and technology mandate researchers, research institutions, and research funders to store and share research data. However, research institutions in Indonesia have not widely practiced research data management by utilizing institutional repositories. This study aimed to determine the development of repositories in research institutions under the Center of Excellence (PUI) supervision program from three aspects: policy, infrastructure, and organizational culture. This research used a quantitative approach through descriptive methods. Data was collected from the management of the research institute repository under the supervision program of the Center of Excellence (PUI), a program of the Ministry of Research and Technology/the National Research and Innovation Agency. The data were analyzed descriptively to see how the repository's development supported research activities. The study results indicated that most institutions had policies for managing institutional repositories on the policy side and needed to be reinforced by policies for managing research data. On the infrastructure aspect, most research institutions did not yet have a repository for research data management. While on aspects of cultural organization, most researchers realized that collaborative research activities could benefit from the institutional repository. This study concludes that research institutions can develop existing institutional repositories for research data management by reinforcing policies, improving the infrastructure function of institutional repositories, and building a culture of data management through campaigns and outreach. 

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.

A Proposed Framework for Research Data Management Services in Research Institutions in Zimbabwe

2019 ◽  
pp. 29-53
Author(s):  
Josiline Phiri Chigwada ◽  
Thembelihle Hwalima ◽  
Nancy Kwangwa
Keyword(s):  
Literature Review ◽  
Data Management ◽  
Research Data ◽  
Research Institutions ◽  
Planning Stage ◽  
Data Services ◽  
Research Data Management ◽  
Management Services

The chapter documents the proposed framework for the establishment of research data management services in research institutions in Zimbabwe. It has been indicated that there are no formal research data management services taking place in Zimbabwe as researchers are managing their own data. It is against such a background that a literature review was undertaken to understand how research institutions in other countries are engaging in research data services. E-mails were sent to the pioneers of research data services. It was discovered that there are challenges that are faced when establishing research data management services and it is important to consult all stakeholders at the planning stage. The framework consists of strategies, policies, guidelines, processes, technologies, and services.

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 Data meets history: A research data management strategy for the historically oriented humanities

2021 ◽  
pp. 155-178
Author(s):  
Fabian Cremer ◽  
Silvia Daniel ◽  
Marina Lemaire ◽  
Katrin Moeller ◽  
Matthias Razum ◽  
...  
Keyword(s):  
Data Management ◽  
Management Strategy ◽  
Research Data ◽  
Research Data Management

In defense of decentralized research data management

Neuroforum ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Michael Hanke ◽  
Franco Pestilli ◽  
Adina S. Wagner ◽  
Christopher J. Markiewicz ◽  
Jean-Baptiste Poline ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Data Management ◽  
Research Data ◽  
Data Archive ◽  
Individual Scientist ◽  
Computing Platform ◽  
Research Data Management ◽  
Cloud Computing Platform ◽  
Research Objects ◽  
Central Services

Abstract Decentralized research data management (dRDM) systems handle digital research objects across participating nodes without critically relying on central services. We present four perspectives in defense of dRDM, illustrating that, in contrast to centralized or federated research data management solutions, a dRDM system based on heterogeneous but interoperable components can offer a sustainable, resilient, inclusive, and adaptive infrastructure for scientific stakeholders: An individual scientist or laboratory, a research institute, a domain data archive or cloud computing platform, and a collaborative multisite consortium. All perspectives share the use of a common, self-contained, portable data structure as an abstraction from current technology and service choices. In conjunction, the four perspectives review how varying requirements of independent scientific stakeholders can be addressed by a scalable, uniform dRDM solution and present a working system as an exemplary implementation.

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