Étiquette : data repositories

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More than data repositories: perceived information needs for the development of social sciences and humanities research infrastructures

Authors : Anna Sendra, Elina Late, Sanna Kumpulainen

Introduction

The digitalization of social sciences and humanities research necessitates research infrastructures. However, this transformation is still incipient, highlighting the need to better understand how to successfully support data-intensive research.

Method

Starting from a case study of building a national infrastructure for conducting data-intensive research, this study aims to understand the information needs of digital researchers regarding the facility and explore the importance of evaluation in its development.

Analysis

Thirteen semi-structured interviews with social sciences and humanities scholars and computer and data scientists processed through a thematic analysis revealed three themes (developing a research infrastructure, needs and expectations of the research infrastructure, and an approach to user feedback and user interactions).

Results

Findings reveal that developing an infrastructure for conducting data-intensive research is a complicated task influenced by contrasting information needs between social sciences and humanities scholars and computer and data scientists, such as the demand for increased support of the former. Findings also highlight the limited role of evaluation in its creation.

Conclusions

The development of infrastructures for conducting data-intensive research requires further discussion that particularly considers the disciplinary differences between social sciences and humanities scholars and computer and data scientists. Suggestions on how to better design this kind of facilities are also raised.

URL : More than data repositories: perceived information needs for the development of social sciences and humanities research infrastructures

DOI : https://doi.org/10.47989/ir284598

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Data Quality Assurance at Research Data Repositories

Authors : Maxi Kindling, Dorothea Strecker

This paper presents findings from a survey on the status quo of data quality assurance practices at research data repositories. The personalised online survey was conducted among repositories indexed in re3data in 2021. It covered the scope of the repository, types of data quality assessment, quality criteria, responsibilities, details of the review process, and data quality information and yielded 332 complete responses.

The results demonstrate that most repositories perform data quality assurance measures, and overall, research data repositories significantly contribute to data quality. Quality assurance at research data repositories is multifaceted and nonlinear, and although there are some common patterns, individual approaches to ensuring data quality are diverse.

The survey showed that data quality assurance sets high expectations for repositories and requires a lot of resources. Several challenges were discovered: for example, the adequate recognition of the contribution of data reviewers and repositories, the path dependence of data review on review processes for text publications, and the lack of data quality information. The study could not confirm that the certification status of a repository is a clear indicator of whether a repository conducts in-depth quality assurance.

URL : Data Quality Assurance at Research Data Repositories

DOI : http://doi.org/10.5334/dsj-2022-018

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The financial maintenance of social science data archives: Four case studies of long-term infrastructure work

Authors : Kristin R. Eschenfelder, Kalpana Shankar, Greg Downey

Contributing to the literature on knowledge infrastructure maintenance, this article describes a historical longitudinal analysis of revenue streams employed by four social science data organizations: the Roper Center for Public Opinion, the Inter-university Consortium for Political and Social Research (ICPSR), the UK Data Archive (UKDA), and the LIS Cross-National Data Center in Luxembourg (LIS).

Drawing on archival documentation and interviews, we describe founders’ assumptions about revenue, changes to revenue streams over the long term, practices for developing and maintaining revenue streams, the importance of financial support from host organizations, and how the context of each data organization shaped revenue possibilities.

We extend conversations about knowledge infrastructure revenue streams by showing the types of change that have occurred over time and how it occurs. We provide examples of the types of flexibility needed for data organizations to remain sustainable over 40–60 years of revenue changes.

We distinguish between Type A flexibilities, or development of new products and services, and Type B flexibilities, or continuous smaller adjustments to existing revenue streams. We argue that Type B flexibilities are as important as Type A, although they are easily overlooked. Our results are relevant to knowledge infrastructure managers and stakeholders facing similar revenue challenges.

URL : The financial maintenance of social science data archives: Four case studies of long-term infrastructure work

DOI : https://doi.org/10.1002/asi.24691

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Research data management and services: Resources for different data practitioners

Author : Gilbert Mushi

The emergence of data-driven research and demands for the establishment of Research Data Management (RDM) has created interest in academic institutions and research organizations globally.

Some of the libraries especially in developed countries have started offering RDM services to their communities. Although lagging behind, some academic libraries in developing countries are at the stage of planning or implementing the service. However, the level of RDM awareness is very low among researchers, librarians and other data practitioners.

The objective of this paper is to present available open resources for different data practitioners particularly researchers and librarians.

It includes training resources for both researchers and librarians, Data Management Plan (DMP) tool for researchers; data repositories available for researchers to freely archive and share their research data to the local and international communities.

A case study with a survey was conducted at the University of Dodoma to identify relevant RDM services so that librarians could assist researchers to make their data accessible to the local and international community.

The study findings revealed a low level of RDM awareness among researchers and librarians. Over 50% of the respondent indicated their perceived knowledge as poor in the following RDM knowledge areas; DMP, data repository, long term digital preservation, funders RDM mandates, metadata standards describing data and general awareness of RDM.

Therefore, this paper presents available open resources for different data practitioners to improve RDM knowledge and boost the confidence of academic and research libraries in establishing the service.

URL : Research data management and services: Resources for different data practitioners

DOI : https://doi.org/10.29173/iq995

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EN

Open research data repositories: Practices, norms, and metadata for sharing images

Authors : Karin Hansson, Anna Dahlgren

Open research data repositories are promoted as one of the cornerstones in the open research paradigm, promoting collaboration, interoperability, and large-scale sharing and reuse. There is, however, a lack of research investigating what these sharing platforms actually share and a more critical interface analysis of the norms and practices embedded in this datafication of academic practice is needed.

This article takes image data sharing in the humanities as a case study for investigating the possibilities and constraints in 5 open research data repositories. By analyzing the visual and textual content of the interface along with the technical means for metadata, the study shows how the platforms are differentiated in terms of signifiers of research paradigms, but that beneath the rhetoric of the interface, they are designed in a similar way, which does not correspond well with the image researchers’ need for detailed metadata.

Combined with the problem of copyright limitations, these data-sharing tools are simply not sophisticated enough when it comes to sharing and reusing images. The result also corresponds with previous research showing that these tools are used not so much for sharing research data, but more for promoting researcher personas.

URL : Open research data repositories: Practices, norms, and metadata for sharing images

DOI : https://doi.org/10.1002/asi.24571

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Institutional Data Repository Development, a Moving Target

Authors : Colleen Fallaw, Genevieve Schmitt, Hoa Luong, Jason Colwell, Jason Strutz

At the end of 2019, the Research Data Service (RDS) at the University of Illinois at Urbana-Champaign (UIUC) completed its fifth year as a campus-wide service. In order to gauge the effectiveness of the RDS in meeting the needs of Illinois researchers, RDS staff developed a five-year review consisting of a survey and a series of in-depth focus group interviews.

As a result, our institutional data repository developed in-house by University Library IT staff, Illinois Data Bank, was recognized as the most useful service offering by our unit. When launched in 2016, storage resources and web servers for Illinois Data Bank and supporting systems were hosted on-premises at UIUC.

As anticipated, researchers increasingly need to share large, and complex datasets. In a responsive effort to leverage the potentially more reliable, highly available, cost-effective, and scalable storage accessible to computation resources, we migrated our item bitstreams and web services to the cloud. Our efforts have met with success, but also with painful bumps along the way.

This article describes how we supported data curation workflows through transitioning from on-premises to cloud resource hosting. It details our approaches to ingesting, curating, and offering access to dataset files up to 2TB in size–which may be archive type files (e.g., .zip or .tar) containing complex directory structures.

URL : https://journal.code4lib.org/articles/15821

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Evidence for Trusted Digital Repository Reviews: An Analysis of Perspectives

Author : Jonathan David Crabtree

Building trust in our research infrastructure is important for the future of the academy. Trust in research data repositories is critical as they provide the evidence for past discoveries as well as the input for future discoveries.

Archives and repositories are examining their options for trustworthy review, audit, and certification as a means to build trust within their content creator and user communities. One option these institutions have is to increase and demonstrate their trustworthiness is to apply for the CoreTrustSeal.

Applicants for the CoreTrustSeal are becoming more numerous and diverse, ranging general purpose repositories, preservation infrastructure providers, and domain repositories. This demand for certification and the subjective nature of decisions around levels of CORETrustSeal compliance drives this dissertation.

It is a study of the review process and its veracity and consistency in determining the trustworthiness of applicant repositories. Several assumptions underlie this work. First, audits and reviews must be based on evidence supplied by the repository under scrutiny; second, and not all reviewers will approach a piece of evidence in the same fashion or give it the same weight. Third, the value and veracity of required evidence may be subject to reviewers’ diverse perspectives and diverse repository community norms.

This research used a thematic qualitative analysis approach to identify similarities and differences in CoreTrustSeal reviewers’ responses during semi-structured interviews in order to better understand potential subjective differences among respondents. The participants’ non-probabilistic sample represented a balance in perspectives across three anticipated categories: administrator, archivist, and technologist.

Themes converged around several key concepts. Nearly all participants felt they were performing a peer review process and working to help the repository community and the research enterprise.

Reviewers were questioned about the various CoreTrustSeal application requirements and which ones they felt were the most important. No clear evidence emerged to indicate that variations in perspectives affected the subjective review of application evidence. The same categories of evidence were often selected and identified as being critical across all three categories (i.e., administrator, archivist, and technologist).

Many valuable suggestions from participants were recorded and can be implemented to ensure the consistency and sustainability of this trusted repository review process.

These suggestions and concepts were also very evenly distributed across the three perspectives. The balance in perspectives is potentially due to participants’ experience levels and their years of experience in various positions, holding many responsibilities, within the organizations they represented.

DOI : https://doi.org/10.17615/npck-km73