scholarly journals Data Stewardship: Environmental Data Curation and a Web-of-Repositories

2009 ◽  
Vol 4 (2) ◽  
pp. 12-27 ◽  
Author(s):  
Karen S. Baker ◽  
Lynn Yarmey
Keyword(s):  
Scientific Communication ◽  
Research Data ◽  
Environmental Data ◽  
Data Curation ◽  
Data Repository ◽  
Data Repositories ◽  
Reference Collection ◽  
Inclusive Approach ◽  
Data Stewardship ◽  
Organizational Element

Scientific researchers today frequently package measurements and associated metadata as digital datasets in anticipation of storage in data repositories. Through the lens of environmental data stewardship, we consider the data repository as an organizational element central to data curation. One aspect of non-commercial repositories, their distance-from-origin of the data, is explored in terms of near and remote categories. Three idealized repository types are distinguished – local, center, and archive - paralleling research, resource, and reference collection categories respectively. Repository type characteristics such as scope, structure, and goals are discussed. Repository similarities in terms of roles, activities and responsibilities are also examined. Data stewardship is related to care of research data and responsible scientific communication supported by an infrastructure that coordinates curation activities; data curation is defined as a set of repeated and repeatable activities focusing on tending data and creating data products within a particular arena. The concept of “sphere-of-context” is introduced as an aid to distinguishing repository types. Conceptualizing a “web-of-repositories” accommodates a variety of repository types and represents an ecologically inclusive approach to data curation.

scholarly journals Introduction to the Special JeSLIB Issue on Data Curation in Practice

2021 ◽  
Vol 10 (3) ◽  
Author(s):  
Cynthia Hudson Vitale ◽  
Jake R. Carlson ◽  
Hannah Hadley ◽  
Lisa Johnston
Keyword(s):  
Research Integrity ◽  
Scientific Communication ◽  
Research Data ◽  
Data Curation ◽  
Research Projects ◽  
Academic Institutions ◽  
Data Repositories ◽  
Communication Processes ◽  
Potential Impact

Research data curation is a set of scientific communication processes and activities that support the ethical reuse of research data and uphold research integrity. Data curators act as key collaborators with researchers to enrich the scholarly value and potential impact of their data through preparing it to be shared with others and preserved for the long term. This special issues focuses on practical data curation workflows and tools that have been developed and implemented within data repositories, scholarly societies, research projects, and academic institutions.

scholarly journals Avaliação de repositórios de dados de pesquisa segundo critérios da Encontrabilidade da Informação | Evaluation of research data repositories according to Information Findability criteria

2019 ◽  
Vol 15 (2) ◽  
Author(s):  
Fernanda Alves Sanchez ◽  
Fernando Luiz Vechiato
Keyword(s):  
Scientific Communication ◽  
Open Science ◽  
Research Data ◽  
Qualitative Approach ◽  
Information Architecture ◽  
Data Repository ◽  
Data Repositories ◽  
Data Search ◽  
Search Data

RESUMO A busca por melhorias nos processos de partilha, uso e reuso de dados de pesquisa, cresce exponencialmente graças as transformações tecnológicas. O artigo aborda discussões sobre a ampliação da comunicação e colaboração científica, em especial, a partilha das produções científicas não tradicionais, realizada por meio dos repositórios de dados de pesquisa. Trata-se de metodologia exploratória de abordagem qualitativa para correlacionar os atributos de Encontrabilidade da Informação com os sistemas da Arquitetura da Informação, nesse tipo de ambiente. Os resultados apontam a relevância dos referidos estudos teórico-práticos na implementação e avaliação dos repositórios.Palavras-chave: Ciência Aberta; Dados de Pesquisa; Repositório de Dados de Pesquisa; Encontrabilidade da Informação; Arquitetura da Informação.ABSTRACT The search for improvements in the processes of sharing, use and reuse of research data, grows exponentially thanks to technological transformations. The article approaches discussions on the expansion of scientific communication and collaboration, in special, the sharing of non-traditional scientific productions, carried out through research data repositories. It is an exploratory methodology of qualitative approach to correlate the attributes of Information Findability with the Information Architecture systems, in this type of environment. The results point out the relevance of these theoretical-practical studies in the implementation and evaluation of the repositories.Keywords: Open Science; Search Data; Search Data Repository; Information Findability; Information Architecture.

Research data stewardship at the University of Hong Kong

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
SiZhe Xiao ◽  
Tsz Yan Ng ◽  
Tao T. Yang
Keyword(s):  
Hong Kong ◽  
Academic Library ◽  
Research Data ◽  
Data Curation ◽  
Data Repository ◽  
Content Type ◽  
Data Infrastructure ◽  
Academic Communities ◽  
Data Stewardship ◽  
The University

PurposeThe purpose of this paper is to look at the journey and experience of the University of Hong Kong (HKU) Research Data Management (RDM) practice to respond to the needs of researchers in an academic library.Design/methodology/approachThe research data services (RDS) practice is based on the FAIR data principle. And the authors designed the RDM Stewardship framework to implement the RDS step by step.FindingsThe HKU Libraries developed and implemented a set of RDS under a research data stewardship framework in response to the recent evolving research needs for RDM amongst the academic communities. The services cover policy and procedure settings for research data planning, research data infrastructure establishment, data curation services and provision of online resources and instructional guidelines.Originality/value This study provides an example of an approach to respond to the needs of the academic libraries about how to start the RDS including the data policy, data repository, data librarianship and data curation.

scholarly journals GAMS – An infrastructure for the long-term preservation and publication of research data from the Humanities

2018 ◽  
Vol 71 (1) ◽  
pp. 207-216 ◽  
Author(s):  
Johannes Hubert Stigler ◽  
Elisabeth Steiner
Keyword(s):  
System Architecture ◽  
Academic Research ◽  
Research Data ◽  
Data Repository ◽  
Data Repositories ◽  
Domain Specific ◽  
Preservation Policy ◽  
Long Term Preservation ◽  
Data Centres

Research data repositories and data centres are becoming more and more important as infrastructures in academic research. The article introduces the Humanities’ research data repository GAMS, starting with the system architecture to preservation policy and content policy. Challenges of data centres and repositories and the general and domain-specific approaches and solutions are outlined. Special emphasis lies on the sustainability and long-term perspective of such infrastructures, not only on the technical but above all on the organisational and financial level.

scholarly journals Connecting Data Publication to the Research Workflow: A Preliminary Analysis

2017 ◽  
Vol 12 (1) ◽  
pp. 88-105 ◽  
Author(s):  
Sünje Dallmeier-Tiessen ◽  
Varsha Khodiyar ◽  
Fiona Murphy ◽  
Amy Nurnberger ◽  
Lisa Raymond ◽  
...  
Keyword(s):  
Working Group ◽  
Research Data ◽  
Data Publishing ◽  
Data Repository ◽  
Research Activity ◽  
Data Repositories ◽  
Data Publication ◽  
Loosely Coupled ◽  
Definition Of ◽  
Data Documentation

The data curation community has long encouraged researchers to document collected research data during active stages of the research workflow, to provide robust metadata earlier, and support research data publication and preservation. Data documentation with robust metadata is one of a number of steps in effective data publication. Data publication is the process of making digital research objects ‘FAIR’, i.e. findable, accessible, interoperable, and reusable; attributes increasingly expected by research communities, funders and society. Research data publishing workflows are the means to that end. Currently, however, much published research data remains inconsistently and inadequately documented by researchers. Documentation of data closer in time to data collection would help mitigate the high cost that repositories associate with the ingest process. More effective data publication and sharing should in principle result from early interactions between researchers and their selected data repository. This paper describes a short study undertaken by members of the Research Data Alliance (RDA) and World Data System (WDS) working group on Publishing Data Workflows. We present a collection of recent examples of data publication workflows that connect data repositories and publishing platforms with research activity ‘upstream’ of the ingest process. We re-articulate previous recommendations of the working group, to account for the varied upstream service components and platforms that support the flow of contextual and provenance information downstream. These workflows should be open and loosely coupled to support interoperability, including with preservation and publication environments. Our recommendations aim to stimulate further work on researchers’ views of data publishing and the extent to which available services and infrastructure facilitate the publication of FAIR data. We also aim to stimulate further dialogue about, and definition of, the roles and responsibilities of research data services and platform providers for the ‘FAIRness’ of research data publication workflows themselves.

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.

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.

scholarly journals Repository Approaches to Improving the Quality of Shared Data and Code

Data ◽  
2021 ◽  
Vol 6 (2) ◽  
pp. 15
Author(s):  
Ana Trisovic ◽  
Katherine Mika ◽  
Ceilyn Boyd ◽  
Sebastian Feger ◽  
Mercè Crosas
Keyword(s):  
Secondary Data ◽  
Scientific Work ◽  
Data Curation ◽  
Data Repository ◽  
Data Repositories ◽  
Research Dissemination ◽  
Design Elements ◽  
Shared Data ◽  
The Past

Sharing data and code for reuse has become increasingly important in scientific work over the past decade. However, in practice, shared data and code may be unusable, or published results obtained from them may be irreproducible. Data repository features and services contribute significantly to the quality, longevity, and reusability of datasets. This paper presents a combination of original and secondary data analysis studies focusing on computational reproducibility, data curation, and gamified design elements that can be employed to indicate and improve the quality of shared data and code. The findings of these studies are sorted into three approaches that can be valuable to data repositories, archives, and other research dissemination platforms.

scholarly journals Making research data repositories visible: the re3data.org registry

2013 ◽  
Author(s):  
Heinz Pampel ◽  
Paul Vierkant ◽  
Frank Scholze ◽  
Roland Bertelmann ◽  
Maxi Kindling ◽  
...  
Keyword(s):  
Research Data ◽  
Data Repository ◽  
Data Repositories ◽  
Landscape Information

Researchers require infrastructures that ensure a maximum of accessibility, stability and reliability to facilitate working with and sharing of research data. Such infrastructures are being increasingly summarized under the term Research Data Repositories (RDR). The project re3data.org – Registry of Research Rata Repositories has begun to index research data repositories in 2012 and offers researchers, funding organizations, libraries and publishers an overview of the heterogeneous research data repository landscape. Information icons help researchers to easily identify an adequate repository for the storage and reuse of their data. This article describes the RDR landscape, outlines the practicality of re3data.org as a service, and shows how this service helps to find research data.

scholarly journals Data Curation through Catalogs: A Repository-Independent Model for Data Discovery

2021 ◽  
Vol 10 (3) ◽  
Author(s):  
Helenmary Sheridan ◽  
Anthony J. Dellureficio ◽  
Melissa A. Ratajeski ◽  
Sara Mannheimer ◽  
Terrie R. Wheeler
Keyword(s):  
Community Of Practice ◽  
Academic Libraries ◽  
Gold Standard ◽  
Research Data ◽  
Data Curation ◽  
Viable Alternative ◽  
Potential Solution ◽  
Data Discovery ◽  
Data Repositories ◽  
Independent Model

Institutional data repositories are the acknowledged gold standard for data curation platforms in academic libraries. But not every institution can sustain a repository, and not every dataset can be archived due to legal, ethical, or authorial constraints. Data catalogs—metadata-only indices of research data that provide detailed access instructions and conditions for use—are one potential solution, and may be especially suitable for "challenging" datasets. This article presents the strengths of data catalogs for increasing the discoverability and accessibility of research data. The authors argue that data catalogs are a viable alternative or complement to data repositories, and provide examples from their institutions' experiences to show how their data catalogs address specific curatorial requirements. The article also reports on the development of a community of practice for data catalogs and data discovery initiatives.

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