Research Data Governance, Roles, and Infrastructure

2019 ◽  
pp. 291-310
Author(s):  
Anthony Solomonides
Keyword(s):  
Research Data ◽  
Data Governance ◽  
Governance Roles

scholarly journals An Exploratory Study of Research Data Governance in the U.S.

2020 ◽  
Vol 4 (1) ◽  
pp. 122-142
Author(s):  
Inna Kouper ◽  
Anjanette H Raymond ◽  
Stacey Giroux
Keyword(s):  
Decision Making ◽  
Exploratory Study ◽  
Research Data ◽  
Science And Society ◽  
Data Governance ◽  
Knowledge Commons ◽  
Multiple Voices ◽  
The Us ◽  
The Commons ◽  
The U.S

AbstractMaking decisions regarding data and the overall credibility of research constitutes research data governance. In this paper, we present results of an exploratory study of the stakeholders of research data governance. The study was conducted among individuals who work in academic and research institutions in the US, with the goal of understanding what entities are perceived as making decisions regarding data and who researchers believe should be responsible for governing research data. Our results show that there is considerable diversity and complexity across stakeholders, both in terms of who they are and their ideas about data governance. To account for this diversity, we propose to frame research data governance in the context of polycentric governance of a knowledge commons. We argue that approaching research data from the commons perspective will allow for a governance framework that can balance the goals of science and society, allow us to shift the discussion toward protection from enclosure and knowledge resilience, and help to ensure that multiple voices are included in all levels of decision-making.

scholarly journals Symposium: Distributed Networks of Federated Secure Research Data Environments – Enabling Analytics Across Multiple Platforms

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
Matthias Schneider
Keyword(s):  
Population Data ◽  
Data Access ◽  
Distributed Networks ◽  
Research Data ◽  
Data Governance ◽  
Virtual Database ◽  
South Wales ◽  
Challenges And Opportunities ◽  
Storage Location ◽  
Time Required

IntroductionUsers of linked data require access to an increasing number of heterogeneous datasets from diverse domains, often held in different secure research data environments, especially for multi-jurisdictional projects. Under the traditional model of data access, projects are required to transfer and harmonise the necessary datasets in one central location before analysis can be undertaken, increasing the time required for data acquisition and preparation. Objectives and ApproachIn a federated data environment, analysts query distributed datasets held in a network of multiple secure data environments via a central virtual database, without requiring the data to move. Instead, the data is analysed as close as possible to its storage location, minimising the amount of data transfers and giving data custodians more control over their data. This symposium explores the challenges and opportunities of establishing and operating a distributed network of federated secure research data environments. Leading organisations operating data platforms in various jurisdictions present for 15 minutes each the current capabilities of their platforms, the landscape of data environments in their jurisdictions and potential approaches to key questions such as: Harmonising/federating data sources Data security Data governance Discoverability/metadata Performance The audience is the then invited to participate in discussing the topic for the remaining 30 minutes. The following individuals have been approached to represent their organisations in this symposium: Professor David Ford, Swansea University: UK Secure eResearch Platform (UK SErP) Charles Victor, Institute for Clinical Evaluative Sciences (ICES): ICES Data & Analytic Virtual Environment (IDAVE) Professor Louisa Jorm, Centre for Big Data Research in Health, University of New South Wales: E-Research Institutional Cloud Architecture (ERICA) Professor Kimberlyn McGrail, Population Data BC: Secure Research Environment (SRE) Results / Conclusion / ImplicationsThis symposium will help formulate requirements for and barriers to distributed networks of federated secure research data environments, and create a foundation for data analytics across multiple platforms.

scholarly journals Quality of Open Research Data: Values, Convergences and Governance

Information ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 175 ◽  
Author(s):  
Tibor Koltay
Keyword(s):  
Big Data ◽  
Data Quality ◽  
Academic Research ◽  
Research Data ◽  
Data Governance ◽  
Quality Of Data ◽  
Open Research ◽  
Research Environments

This paper focuses on the characteristics of research data quality, and aims to cover the most important issues related to it, giving particular attention to its attributes and to data governance. The corporate word’s considerable interest in the quality of data is obvious in several thoughts and issues reported in business-related publications, even if there are apparent differences between values and approaches to data in corporate and in academic (research) environments. The paper also takes into consideration that addressing data quality would be unimaginable without considering big data.

scholarly journals Chief Information Officer team evolution in university hospitals: interaction of the three ‘C’s (CIO, CCIO, CRIO)

2018 ◽  
Vol 25 (2) ◽  
pp. 88-91 ◽  
Author(s):  
Shankar Sridharan ◽  
Ward Priestman ◽  
Neil J. Sebire
Keyword(s):  
Routine Data ◽  
Clinical Information ◽  
Chief Information Officer ◽  
Research Data ◽  
Leadership Role ◽  
University Hospitals ◽  
Data Governance ◽  
Research Information ◽  
Distinct Component ◽  
Published Evidence

BackgroundThe Chief Information Officer (CIO) and Chief Clinical Information Officer (CCIO) are now established senior roles in hospital practice. With increasing emphasis on optimising use of routine health data for secondary purposes and research, additional skills are required as part of the senior information officer team, particularly in academic health care institutions.ObjectiveTo present the role of the Chief Research Information Officer (CRIO), as an emerging, and important, component of the senior information team.MethodWe review recent publications describing the composition of the senior information team, including CIO and CCIO roles, and discuss the development of the CRIO as a distinct component of the team, based on the published evidence and our experience.ResultsThe CRIO is emerging as an additional senior role in academic healthcare institutions, whose roles include leadership of the informatics strategy and optimisation of routine data collection systems for research data use, in addition to important aspects of research data governance. Such individuals should be senior clinicians with experience in informatics, in addition to having established research expertise and knowledge of research processes, governance and academic networks.ConclusionsThe CRIO is emerging as a distinct senior information leadership role in conjunction with the already established positions of CCIO and CIO, who together, can provide optimal oversight of digital activities across the organisation.

scholarly journals A Política de Governança de Dados, Informação e Conhecimento da Embrapa como mecanismo para a gestão de dados de pesquisa agropecuários | Embrapa’s Data, Information and Knowledge Governance Policy as a framework for agricultural research data management

2019 ◽  
Vol 15 (2) ◽  
Author(s):  
Patrícia Rocha Bello Bertin ◽  
Juliana Meireles Fortaleza ◽  
Adriana Cristina Da Silva ◽  
Massayuki Franco Okawachi ◽  
Márcia De Oliveira Cardoso
Keyword(s):  
Big Data ◽  
Data Management ◽  
Agricultural Research ◽  
Original Data ◽  
Scientific Data ◽  
Research Data ◽  
Data Governance ◽  
Data Intensive ◽  
Scientific Data Management ◽  
Knowledge Policy

RESUMO O fenômeno Big Data e o quarto paradigma da ciência – a e-Science – demandam das instituições de ciência e tecnologia um apropriado gerenciamento e preservação dos dados de pesquisa, de modo a possibilitar o acesso, uso e compartilhamento dos dados originais e assim alcançar sustentabilidade e competitividade no sistema científico e tecnológico moderno. O presente trabalho comenta e analisa a Política de Governança de Dados, Informação e Conhecimento da Embrapa, com foco nas questões relacionadas à gestão de dados de pesquisa. Espera-se que essa Política possa ser instrumental para outras organizações do sistema de C&T nacional no desenvolvimento de seus próprios normativos.Palavras-chave: Dados Científicos; Ciência Intensiva em Dados; Acesso; Compartilhamento; Preservação; Gerenciamento.ABSTRACT The Big Data phenomenon and the fourth science paradigm - e-Science - demand from science and technology institutions proper management and preservation of research data, for access, use and sharing of original data and thus achieve sustainability. and competitiveness in the modern scientific and technological system. This paper comments and analyzes Embrapa’s Data Governance, Information and Knowledge Policy, focusing on issues related to scientific data management. It is hoped that this Policy can be instrumental to other organizations in the national S&T system in developing their own standards.Keywords: Scientific Data; Data Intensive Science; Access; Sharing; Preservation; Management.

Re-Imagining Data Governance

2018 ◽  
pp. 251-278
Author(s):  
Kevin J. Sweeney
Keyword(s):  
Data Management ◽  
Management Practice ◽  
Hierarchical Structures ◽  
Data Governance ◽  
Good Data ◽  
Business Environments ◽  
Core Set ◽  
Critical Resource ◽  
Governance Roles ◽  
Map Data

Contemporary business environments reflect the growing influence of data as a mission-critical resource of relevance across the enterprise, suggesting a need for robust infrastructures to enable good data management practice. This includes data governance, a particularly foundational infrastructure with a crucial role to play. Data governance models in common use however, reflecting traditional top-down, hierarchical structures, and relying on designated governance roles, are not equipped to effectively embed data accountability within dynamic business environments. In response, this chapter offers a new approach designed to foster accountability by cultivating data knowledge and promoting good data management behavior amongst all relevant staff. Drawing from an operational data governance framework developed for New Zealand government, the new model employs a core set of capabilities and a steady states model to map data flow. It provides a deliberately business-centric view of data accountability and offers a means of maturing data thinking to support improved integration across operating scales.

Context-Based Roles and Competencies of Data Curators in Supporting Research Data Lifecycle Management: Multi-Case Study in China

Libri ◽  
2019 ◽  
Vol 69 (2) ◽  
pp. 127-137
Author(s):  
Zhenjia Fan
Keyword(s):  
Research Question ◽  
Research Data ◽  
Data Reuse ◽  
Data Curation ◽  
Practical Significance ◽  
General Factor ◽  
Data Governance ◽  
Main Research ◽  
Data Custodian

Abstract Focusing on the main research question of what the critical roles and competencies of data curation are in supporting research data life cycle management, this paper adopts a multi-case study method, with data governance frameworks, to analyze stakeholders and data curators, and their competencies, based on different contexts from cases from enterprises and academic libraries in mainland China. Via the context and business analysis on different cases, critical roles such as data supervisor, data steward, and data custodian in guaranteeing data quality and efficiency of data reuse are put forward. Based on the general factor framework summarized via existing literature, suggestions for empowering data curators’ competencies are raised according to the cases. The findings of this paper are as follows: besides digital archiving and preservation, more emphasis should be placed on data governance in the field of data curation. Data curators are closely related but not equivalent to stakeholders of data governance. The different roles of data curators would play their own part in the process of data curation and can be specified as data supervisor, data steward, and data custodian according to given contexts. The roles, competencies, and empowerment strategies presented in this paper might have both theoretical and practical significance for the fields of both data curation and data governance.

scholarly journals The Road to Partnership: a Stepwise, Iterative Approach to Organisational Collaboration in RDM, Archives and Records Management

2020 ◽  
Vol 15 (1) ◽  
pp. 10
Author(s):  
Michelle Harricharan ◽  
Carly Manson ◽  
Kirsten Hylan
Keyword(s):  
Research Data ◽  
Freedom Of Information ◽  
Records Management ◽  
Data Services ◽  
The Road ◽  
Ongoing Work ◽  
Information Governance ◽  
Working Together ◽  
Governance Roles ◽  
Health Database

Research data management (RDM) sits at the confluence of a number of related roles. The shape an RDM confluence takes depends on several factors including the nature of an organisation and the research that it undertakes. At St George’s, University of London, the UK’s only university dedicated to medical and health sciences education, training and research, RDM has been intricately interwoven with organisational information governance roles since its inception. RDM is represented on our institutional Information Governance Steering Group and our Information Management Team consisting of information governance, data protection, freedom of information, archives, records management and RDM. This paper reports on how RDM, archives and records management have collaborated using a step-wise, iterative process to streamline and harmonise our guidance and workflows in relation to the stewardship, curation and preservation of research data. As part of this we consistently develop, conduct and evaluate small projects on managing, curating and preserving data. We present three projects that we collaborated on to transform research data services across each of our departments: planning for, conducting and reporting on interviews with wet laboratory researchers advocating, building a case for and delivering a university-wide digital preservation system ongoing work to recover, preserve and facilitate access to a unique national health database Learnings from these projects are used to develop our guidance, improve our activities and integrate our workflows, the outcomes of which may be further evaluated. Learnings are also used to improve our ways of working together. Through deeper integration of our activities and workflows, rather than simply aligning aspects of our work, we are increasingly becoming partners on research data stewardship, curation and preservation. This approach offers several benefits to the organisation as it allows us to build on our related knowledge and skills and deliver outcomes that demonstrate greater value to the organisation and the researchers we support.

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