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: 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 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.

Delivering the Next-Generation Research Repository

2019 ◽  
pp. 144-154
Author(s):  
Adi Alter ◽  
Eddie Neuwirth ◽  
Dani Guzman
Keyword(s):  
Data Management ◽  
Research Output ◽  
Scale Up ◽  
Research Data ◽  
Next Generation ◽  
Data Repositories ◽  
Institutional Repositories ◽  
Research Data Management ◽  
Library Research ◽  
Multiple Data

Academic libraries are looking for ways to grow their involvement in and scale-up their support for research activities. The successful transition depends to a large extent on the library's ability to systematically manage data, break down information silos and unify workflows across the library, research office and researchers. Data repositories are at the heart of this challenge, yet often institutional repositories are not built to address the needs of modern research data management due to inability to store all research assets, lack of consistent data models, and insufficient workflows. This chapter will present a new approach to research data management that ensures visibility of research output and data, data coherency, and compliance with open access standards. The authors will discuss a ‘Next-Generation Research Repository' that spans multiple data management activities, including automated data capture, metadata enrichment, dissemination, compliance-related workflows, automated publication to scholarly profiles, as well as open integration with the research ecosystem.

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 Progress with implementing the new research data management system at HartRAO

2018 ◽  
Vol 186 ◽  
pp. 12002
Author(s):  
Glenda Coetzer ◽  
Roelf Botha ◽  
Lorette Jacobs
Keyword(s):  
Data Management ◽  
Radio Astronomy ◽  
Management System ◽  
Research Data ◽  
Data Management System ◽  
Research Data Management ◽  
Research Activities ◽  
Fundamental Astronomy ◽  
New Research ◽  
Service Standards

The Hartebeesthoek Radio Astronomy Observatory (HartRAO) participates in global radio astronomy and fundamental astronomy (space geodesy) research activities. Data and data products produced by HartRAO’s expanding range of on-site and off-site instrumentation must be archived and stored at HartRAO and made accessible to the scientific community. The data management and storage systems currently being used for managing fundamental astronomy data are not capable of handling the large volumes of data and have become obsolete. This necessitated the design and implementation of a next-generation Geodetic Research Data Management System (GRDMS), which complies with internationally accepted data service standards. We present the top-level conceptual model of the GRDMS and progress to date with developments of various sub-systems, data structuring and organisation within the sub-systems.

scholarly journals Deskripsi Metadata dalam Manajemen Data Penelitian: Studi Kasus pada Sistem Repositori Ilmiah Nasional

2021 ◽  
Vol 5 (1) ◽  
pp. 35
Author(s):  
Seno Yudhanto ◽  
Nina Mayesti
Keyword(s):  
Data Management ◽  
Research Data ◽  
Case Study Method ◽  
Management Mechanism ◽  
Research Data Management ◽  
Research And Innovation ◽  
Metadata Standards ◽  
Mechanism Research ◽  
The Republic

Organizing research data is very important for data and information managers through a research data management mechanism (research data management/MDP) in a repository system. In this mechanism, research data must be organized and described as an effort to provide access. One important aspect of organizing is the availability of metadata. This Study was supported by the Institute of Sciences of Indonesia (LIPI) and the SAINTEK Scholarship from the Ministry of Research and Technology/National Research and Innovation Agency of the Republic of Indonesia (KEMENRISTEK/BRIN) in 2020 and it’s purpose is to identify and describe metadata standards and metadata elements used in research data management in the National Scientific Repository (RIN) system. This study uses a qualitative approach with a case study method. Sources of data come from literature / document studies and direct observation. The results of the study show that the RIN system adopts descriptive metadata from three main standards, they are DublinCore, DataCite, and DDI. As a medium for describing research data in general, the metadata sections provided by the RIN system in the dataset folder are quite large and complete. Of the 35 metadata fields available in the dataset folder in this system, the three metadata standards complement each other with an adaptation of the dominant DDI standard with 32 metadata fields. However, the fields that are available can also be found in other standards, such as the title, subject, or keyword fields that are also found in the DublinCore and DataCite standards. Thus, the metadata fields provided in the RIN system is good enough and sufficient for research data management needs.

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.

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