scholarly journals DataStaR: Using the Semantic Web approach for Data Curation

2011 ◽  
Vol 6 (2) ◽  
pp. 209-221 ◽  
Author(s):  
Huda Khan ◽  
Brian Caruso ◽  
Jon Corson-Rikert ◽  
Dianne Dietrich ◽  
Brian Lowe ◽  
...  
Keyword(s):  
Social Sciences ◽  
Semantic Web ◽  
Data Sharing ◽  
Research Data ◽  
Data Curation ◽  
Data Staging ◽  
Domain Specific ◽  
Digital Infrastructure

In disciplines as varied as medicine, social sciences, and economics, data and their analyses are essential parts of researchers’ contributions to their respective fields. While sharing research data for review and analysis presents new opportunities for furthering research, capturing these data in digital forms and providing the digital infrastructure for sharing data and metadata pose several challenges. This paper reviews the motivations behind and design of the Data Staging Repository (DataStaR) platform that targets specific portions of the research data curation lifecycle: data and metadata capture and sharing prior to publication, and publication to permanent archival repositories. The goal of DataStaR is to support both the sharing and publishing of data while at the same time enabling metadata creation without imposing additional overheads for researchers and librarians. Furthermore, DataStaR is intended to provide cross-disciplinary support by being able to integrate different domain-specific metadata schemas according to researchers’ needs. DataStaR’s strategy of a usable interface coupled with metadata flexibility allows for a more scaleable solution for data sharing, publication, and metadata reuse.

What’s So Funny ’bout PECE, TAF, and Data Sharing?

2021 ◽  
pp. 115-140
Author(s):  
Mike Fortun ◽  
Lindsay Poirier ◽  
Alli Morgan ◽  
Brian Callahan ◽  
Kim Fortun
Keyword(s):  
Data Sharing ◽  
Interest Group ◽  
Research Data ◽  
Ethnographic Research ◽  
Global Collaboration ◽  
Research Project ◽  
Digital Infrastructure ◽  
Collaborative Ethnography

This chapter points out different ways involvement with collaborative projects share form, shape, or style, and may be imagined as nested within each other, like matryoshka dolls. It deals with the Platform for Experimental Collaborative Ethnography (PECE), the digital infrastructure that support new collaborative projects in anthropology. It also cites the long-standing collaboration of The Asthma Files (TAF), which is an experimental ethnographic research project that eventually led to the conceptualization and development of PECE. The chapter mentions the Digital Practices in History and Ethnography Interest Group (DPHE-IG) that was organized within the Research Data Alliance (RDA), a global collaboration of individuals and institutions working to make data more easily and openly shareable. It emphasizes how the collaborative form is the experimental form analyzed by Hans-Jorg Rheinberger as essential to a modern scientific style.

scholarly journals Research Data Management and Data Sharing among Research Scholars of Life Sciences and Social Sciences

2019 ◽  
Vol 39 (06) ◽  
pp. 290-299
Author(s):  
Naushad Ali PM ◽  
Sidra Saeed
Keyword(s):  
Social Sciences ◽  
Data Management ◽  
Data Sharing ◽  
Life Sciences ◽  
Scientific Progress ◽  
Research Data ◽  
Key Factors ◽  
Research Data Management ◽  
Share Data

This study investigates perception of research scholars towards research data management and sharing. A survey was conducted among research scholars from Faculty of Life Sciences and Social Sciences, Aligarh Muslim University (AMU). In total, 352 participants filled out the questionnaire. The study shows that research scholars ofFaculty of Social Sciences are more willing to share their research data as compared to Research Scholars of Life Sciences. Contributing to scientific progress and increasing research citations and visibility were the key factors that motivated researchers to share data. However, confidentiality and data misuse were the main concerns among those who were unwilling to share. Finally, some recommendations to improve the of data management and sharing practices are presented.

scholarly journals Fostering global data sharing: highlighting the recommendations of the Research Data Alliance COVID-19 working group

2021 ◽  
Vol 5 ◽  
pp. 267
Author(s):  
Claire C. Austin ◽  
Alexander Bernier ◽  
Louise Bezuidenhout ◽  
Juan Bicarregui ◽  
Timea Biro ◽  
...  
Keyword(s):  
Social Sciences ◽  
Community Participation ◽  
Data Sharing ◽  
Indigenous Peoples ◽  
Working Group ◽  
Clinical Medicine ◽  
Research Data ◽  
Ethical Considerations ◽  
Data Repositories ◽  
Research Software

The systemic challenges of the COVID-19 pandemic require cross-disciplinary collaboration in a global and timely fashion. Such collaboration needs open research practices and the sharing of research outputs, such as data and code, thereby facilitating research and research reproducibility and timely collaboration beyond borders. The Research Data Alliance COVID-19 Working Group recently published a set of recommendations and guidelines on data sharing and related best practices for COVID-19 research. These guidelines include recommendations for clinicians, researchers, policy- and decision-makers, funders, publishers, public health experts, disaster preparedness and response experts, infrastructure providers from the perspective of different domains (Clinical Medicine, Omics, Epidemiology, Social Sciences, Community Participation, Indigenous Peoples, Research Software, Legal and Ethical Considerations), and other potential users. These guidelines include recommendations for researchers, policymakers, funders, publishers and infrastructure providers from the perspective of different domains (Clinical Medicine, Omics, Epidemiology, Social Sciences, Community Participation, Indigenous Peoples, Research Software, Legal and Ethical Considerations). Several overarching themes have emerged from this document such as the need to balance the creation of data adherent to FAIR principles (findable, accessible, interoperable and reusable), with the need for quick data release; the use of trustworthy research data repositories; the use of well-annotated data with meaningful metadata; and practices of documenting methods and software. The resulting document marks an unprecedented cross-disciplinary, cross-sectoral, and cross-jurisdictional effort authored by over 160 experts from around the globe. This letter summarises key points of the Recommendations and Guidelines, highlights the relevant findings, shines a spotlight on the process, and suggests how these developments can be leveraged by the wider scientific community.

scholarly journals Data policies and data archives as prerequisites of reproducible published research in economics journals

2014 ◽  
Author(s):  
Sven Vlaeminck
Keyword(s):  
Social Sciences ◽  
Data Sharing ◽  
Research Data ◽  
Technical Solution ◽  
German Research Foundation ◽  
Scholarly Journals ◽  
Related Data ◽  
The Social ◽  
Economics Journals ◽  
Published Research

>> See video of presentation (19 min.) In economics - as in many other branches of the social sciences- collaboratively working on data and sharing data is not very common, yet. This is also reflected in the professions’ journals, where policies on data management and data sharing currently exist for a small minority of journals only.I would like to introduce the presentation with some empirical results of a survey, in which economists working for the project EDaWaX (European Data Watch, a project funded by the German Research Foundation) analysed the data sharing behaviour of 488 US and European applied economists. Subsequently we give an overview on data policies of journals in economics and business studies. In the course of the EDaWaX project, the data policies in a sample of more than 300 economics journals have been analysed. The talk suggests guidelines for data policies aiming to foster replication of published research and presents some characteristics of journals equipped with those data policies as well as the status quo in disseminating underlying research data of empirically based articles.Against this analytical background the talk identifies some challenges associated with the current e-infrastructure for providing publication-related research data by journals. The presentation also shows a technical solution for some of these challenges. In particular, the talk presents a pilot application for a publication-related data archive for scholarly journals in the social sciences, which has been developed in the first funding phase of the EDaWaX-project. The aim of this open source tool is to empower editors of scholarly journals to easily manage research data for empirically based articles in their journals. The application mainly targets open research data but is also capable of interlinking data and publications even in the case of confidential or proprietary data.In conclusion the talk outlines the further development of our application and sketches other tasks of the project’s second funding phase.More information on the project is available on www.edawax.de  

Data sharing, small science and institutional repositories

2010 ◽  
Vol 368 (1926) ◽  
pp. 4023-4038 ◽  
Author(s):  
Melissa H. Cragin ◽  
Carole L. Palmer ◽  
Jacob R. Carlson ◽  
Michael Witt
Keyword(s):  
Data Sharing ◽  
Scientific Research ◽  
Research Data ◽  
Data Curation ◽  
Academic Institutions ◽  
Institutional Repositories ◽  
Research Areas ◽  
Wide Range ◽  
Small Science

Results are presented from the Data Curation Profiles project research, on who is willing to share what data with whom and when. Emerging from scientists’ discussions on sharing are several dimensions suggestive of the variation in both what it means ‘to share’ and how these processes are carried out. This research indicates that data curation services will need to accommodate a wide range of subdisciplinary data characteristics and sharing practices. As part of a larger set of strategies emerging across academic institutions, institutional repositories (IRs) will contribute to the stewardship and mobilization of scientific research data for e-Research and learning. There will be particular types of data that can be managed well in an IR context when characteristics and practices are well understood. Findings from this study elucidate scientists’ views on ‘sharable’ forms of data—the particular representation that they view as most valued for reuse by others within their own research areas—and the anticipated duration for such reuse. Reported sharing incidents that provide insights into barriers to sharing and related concerns on data misuse are included.

Managing Research Data at the University of Porto

2013 ◽  
pp. 174-197
Author(s):  
João Rocha da Silva ◽  
Cristina Ribeiro ◽  
João Correia Lopes
Keyword(s):  
Research Data ◽  
Data Curation ◽  
Data Repository ◽  
Small Scale ◽  
Domain Specific ◽  
Xml Documents ◽  
Research Institution ◽  
The University ◽  
Scale Data

This chapter consists of a solution for the management of research data at a higher education and research institution. The chapter is based on a small-scale data audit study, which included contacts with researchers and yielded some preliminary requirements and use cases. These requirements led to the design of a data curation workflow involving the researcher, the curator, and a data repository. The authors describe the features of the data repository prototype, which is an extension to the widely used DSpace repository platform and introduced a set of features mentioned by the majority of the interviewed researchers as relevant for a data repository. The data repository platform contributes to the curation workflow at the university, with XML technology at its core—data is stored using XML documents, which can be systematically processed and queried unlike its original-format counterpart. This system is capable of indexing, querying, and retrieving, in whole or in part, datasets represented in tabular form. There is also the possibility of using elements from domain-specific XML schemas for the cataloguing process, improving the interoperability and quality of the deposited data.

scholarly journals Representation of Slovak Research Information (A Case Study)

Information ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 137
Author(s):  
Danica Zendulková ◽  
Boris Rysuľa ◽  
Andrea Putalová
Keyword(s):  
Social Sciences ◽  
National Level ◽  
Research Data ◽  
Research Information ◽  
Social Sciences And Humanities ◽  
Central Register ◽  
The World ◽  
Mutual Relations ◽  
Analytical Tools ◽  
The Eu

In the light of the increasing importance of the societal impact of research, this article attempts to address the question as to how social sciences and humanities (SSH) research outputs from 2019 are represented in Slovak research portfolios in comparison with those of the EU-28 and the world. The data used for the analysis originate from the R&D SK CRIS and bibliographic Central Register of Publication Activities (CREPČ) national databases, and WoS Core Collection/InCites. The research data were appropriate for the analysis at the time they were structured, on the national level; of high quality and consistency; and covering as many components as possible and in mutual relations. The data resources should enable the research outputs to be assigned to research categories. The analysis prompts the conclusion that social sciences and humanities research outputs in Slovakia in 2019 are appropriately represented and in general show an increasing trend. This can be documented by the proportion represented by the SSH research projects and other entities involved in the overall Slovak research outputs, and even the higher ratio of SSH research publications in comparison with the EU-28 and the world. Recommendations of a technical character include research data management, data quality, and the integration of individual systems and available analytical tools.

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