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 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 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 Why is getting credit for your data so hard?

2020 ◽  
Vol 33 ◽  
pp. 01003
Author(s):  
Wouter Haak ◽  
Alberto Zigoni ◽  
Helen Kardinaal-de Mooij ◽  
Elena Zudilova-Seinstra
Keyword(s):  
Data Sharing ◽  
Research Data ◽  
Data Repository ◽  
Institutional Research ◽  
Public Research ◽  
Data Repositories ◽  
Institutional Repositories ◽  
Institutional Data ◽  
Research Organizations ◽  
Existing Data

Institutions, funding bodies, and national research organizations are pushing for more data sharing and FAIR data. Institutions typically implement data policies, frequently supported by an institutional data repository. Funders typically mandate data sharing. So where does this leave the researcher? How can researchers benefit from doing the additional work to share their data? In order to make sure that researchers and institutions get credit for sharing their data, the data needs to be tracked and attributed first. In this paper we investigated where the research data ended up for 11 research institutions, and how this data is currently tracked and attributed. Furthermore, we also analysed the gap between the research data that is currently in institutional repositories, and where their researchers truly share their data. We found that 10 out of 11 institutions have most of their public research data hosted outside of their own institution. Combined, they have 12% of their institutional research data published in the institutional data repositories. According to our data, the typical institution had 5% of their research data (median) published in the institutional repository, but there were 4 universities for which it was 10% or higher. By combining existing data-to-article graphs with existing article-to- researcher and article-to-institution graphs it becomes possible to increase tracking of public research data and therefore the visibility of researchers sharing their data typically by 17x. The tracking algorithm that was used to perform analysis and report on potential improvements has subsequently been implemented as a standard method in the Mendeley Data Monitor product. The improvement is most likely an under-estimate because, while the recall for datasets in institutional repositories is 100%, that is not the case for datasets published outside the institutions, so there are even more datasets still to be discovered.

scholarly journals Integration of an Active Research Data System with a Data Repository to Streamline the Research Data Lifecyle: Pure-NOMAD Case Study

2018 ◽  
Vol 12 (2) ◽  
pp. 210-219
Author(s):  
Simone Ivan Conte ◽  
Federica Fina ◽  
Michalis Psalios ◽  
Shyam Ryal ◽  
Tomas Lebl ◽  
...  
Keyword(s):  
Data Management ◽  
Active Phase ◽  
Research Data ◽  
Data Management System ◽  
Data Repository ◽  
Data Repositories ◽  
Human Errors ◽  
Important Challenge ◽  
Active Data ◽  
Active Research

Research funders have introduced requirements that expect researchers to properly manage and publicly share their research data, and expect institutions to put in place services to support researchers in meeting these requirements. So far the general focus of these services and systems has been on addressing the final stages of the research data lifecycle (archive, share and re-use), rather than stages related to the active phase of the cycle (collect/create and analyse). As a result, full integration of active data management systems with data repositories is not yet the norm, making the streamlined transition of data from an active to a published and archived status an important challenge. In this paper we present the integration between an active data management system developed in-house (NOMAD) and Elsevier’s Pure data repository used at our institution, with the aim of offering a simple workflow to facilitate and promote the data deposit process. The integration results in a new data management and publication workflow that helps researchers to save time, minimize human errors related to manually handling files, and further promote data deposit together with collaboration across the institution.

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 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.

scholarly journals The Red Queen in the Repository

2020 ◽  
Vol 15 (1) ◽  
pp. 16
Author(s):  
Joakim Philipson
Keyword(s):  
General Purpose ◽  
Research Data ◽  
Data Repository ◽  
Red Queen ◽  
Changing Environment ◽  
Data Repositories ◽  
Metadata Standards ◽  
And Migration ◽  
The Red Queen

One of the grand curation challenges is to secure metadata quality in the ever-changing environment of metadata standards and file formats. As the Red Queen tells Alice in Through the Looking-Glass: “Now, here, you see, it takes all the running you can do, to keep in the same place.” That is, there is some “running” needed to keep metadata records in a research data repository fit for long-term use and put in place. One of the main tools of adaptation and keeping pace with the evolution of new standards, formats – and versions of standards in this ever-changing environment are validation schemas. Validation schemas are mainly seen as methods of checking data quality and fitness for use, but are also important for long-term preservation. We might like to think that our present (meta)data standards and formats are made for eternity, but in reality we know that standards evolve, formats change (some even become obsolete with time), and so do our needs for storage, searching and future dissemination for re-use. Eventually, we come to a point where transformation of our archival records and migration to other formats will be necessary. This could also mean that even if the AIPs, the Archival Information Packages stay the same in storage, the DIPs, the Dissemination Information Packages that we want to extract from the archive are subject to change of format. Further, in order for archival information packages to be self-sustainable, as required in the OAIS model, it is important to take interdependencies between individual files in the information packages into account. This should be done already by the time of ingest and validation of the SIPs, the Submission Information Packages, and along the line at different points of necessary transformation/migration (from SIP to AIP, from AIP to DIP etc.), in order to counter obsolescence. This paper investigates possible validation errors and missing elements in metadata records from three general purpose, multidisciplinary research data repositories – Figshare, Harvard’s Dataverse and Zenodo, and explores the potential effects of these errors on future transformation to AIPs and migration to other formats within a digital archive.  

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