International Journal of Digital Curation
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Data Management Education from the Perspective of Science Educators
Get PDFIn order to better understand the current state of data management education in multiple fields of science, this study surveyed scientists, including information scientists, about their data management education practices, including at what levels they are teaching data management, which topics they covering, and what barriers they experience in teaching these topics. We found that a handful of scientists are teaching data management in undergraduate, graduate, and other types of courses, as well as outside of classroom settings. Commonly taught data management topics included quality control, protecting data, and management planning. However, few instructors felt they were covering data management topics thoroughly, and respondents cited barriers such as lack of time, lack of necessary expertise, and lack of information for teaching data management. We offer some potential explanations for the existing state of data management education and suggest areas for further research
State of Data Guidance in Journal Policies: A Case Study in Oncology
Get PDFThis article reports the results of a study examining the state of data guidance provided to authors by 50 oncology journals. The purpose of the study was the identification of data practices addressed in the journals’ policies. While a number of studies have examined data sharing practices among researchers, little is known about how journals address data sharing. Thus, what was discovered through this study has practical implications for journal publishers, editors, and researchers. The findings indicate that journal publishers should provide more meaningful and comprehensive data guidance to prospective authors. More specifically, journal policies requiring data sharing, should direct researchers to relevant data repositories, and offer better metadata consultation to strengthen existing journal policies. By providing adequate guidance for authors, and helping investigators to meet data sharing mandates, scholarly journal publishers can play a vital role in advancing access to research data
Using Metadata Actively
Get PDFAlmost all researchers collect and preserve metadata, although doing so is often seen as a burden. However, when that metadata can be, and is, used actively during an investigation or creative process, the benefits become apparent instantly. Active use can arise in various ways, several of which are being investigated by the Collaboration for Research Enhancement by Active use of Metadata (CREAM) project, which was funded by Jisc as part of their Research Data Spring initiative. The CREAM project is exploring the concept through understanding the active use of metadata by the partners in the collaboration. This paper explains what it means to use metadata actively and describes how the CREAM project characterises active use by developing use cases that involve documenting the key decision points during a process. Well-documented processes are accordingly more transparent, reproducible, and reusable.Â
Enrolling Heterogeneous Partners in Video Game Preservation
No full textThis article extends previous work known as Preserving Virtual Worlds II (PVWII), funded through a grant from the Institute of Museum and Library Services. The author draws on interview data collected from video game developers, content analysis of several long-running video game series, as well as the project’s advisory board and researcher reports. This paper exposes two fundamental challenges in creating metrics and specifications for the preservation of virtual worlds; namely, that there is no one type of user or designated video game stakeholder community, and that significant properties of games cannot always be located in code or platform. The PVWII data serve to explain why existing ideas about preservation of video games are inadequate when games are treated as digital cultural heritage. Preservation specialists need to bind nebulous and dynamic digital objects, a process that is necessary while inherently artificial. Â
Towards the Preservation of the Scientific Memory
Get PDFIn this paper we consider the requirements for preserving the memory of science. This is becoming more challenging as data volumes and rates continue to increase. Further, to capture a full picture of the scientific memory we need to move beyond the bit preservation challenge to consider how to capture research in context, represent the meaning of the data, and how to interpret data in relation to other scientific artefacts distributed in multiple information spaces. We review the progress of scientific research into the digital preservation of science over the last decade, emphasising in particular the research and development programme of STFC. We conclude with a number of observations into the future directions of research and also the practical deployment of policy and infrastructure to effectively preserve the scientific memory
Essentials for Data Support: Training the Front Office
Get PDFAt the end of 2011 a Data Intelligence 4 Librarians course was developed to provide online resources and training for digital preservation practitioners, specifically library staff. Lessons learned during the first rounds of the course and developments in the Research Data Management landscape have led to a revision of the positioning, the structure and the content of the course. This paper describes both the three main drivers for the revision, the changes themselves and the lessons that can be drawn from them, after three training rounds in 2014 in the revised format under the new programmatic title of Essentials 4 Data Support
APIs and Researchers: The Emperor\u27s New Clothes?
Get PDFAs part of the Europeana Cloud (eCloud) project, Trinity College Dublin investigated best practice in the use of web services, such as APIs, for accessing large data sets from cultural heritage collections. This research looked into the provision and use of APIs, and moreover, whether or not more customised programmatic access to datasets is what researchers want or need. In order to understand whether current patterns of API usage reflect a skills gap on the part of researchers or a mismatch of tool to purpose, we looked not only at the creators and developer/users of APIs, but also at humanists already re-using big data; approaches in cultural heritage institutions and other research infrastructures to bring API use to non-technical audiences; and the kinds of training and other support services available or emerging within the data-intensive humanities research lifecycle. We conducted both desk research and a series of 11 interviews with figures working as researchers, developers or data providers, including figures from both the API development and the data usage communities. This research, conducted under the eCloud project and supported by the European Commission’s ICT Policy and Support Programme (Grant number 325091), was begun in March 2014 and is now in its concluding validation stage. The results of the research are not yet finalised, but the contribution is already emerging of this work to the debate about APIs being either the way forward for digital cultural heritage collections, or the Emperor’s New Clothes (or maybe a bit of both)
Service Integration to Enhance Research Data Management: RSpace Electronic Laboratory Notebook Case Study
Get PDFResearch Data Management (RDM) provides a framework that supports researchers and their data throughout the course of their research and is increasingly regarded as one of the essential areas of responsible conduct of research. New tools and infrastructures make possible the generation of large volumes of digital research data in a myriad of formats. This facilitates new ways to analyse, share and reuse these outputs, with libraries, IT services and other service units within academic institutions working together with the research community to develop RDM infrastructures to curate and preserve this type of research output and make them re-usable for future generations. Working on the principle that a rationalised and continuous flow of data between systems and across institutional boundaries is one of the core goals of information management, this paper will highlight service integration via Electronic Laboratory Notebooks (ELN), which streamline research data workflows, result in efficiency gains for researchers, research administrators and other stakeholders, and ultimately enhance the RDM process
“Designated Communities”: Through the Lens of the Web
Get PDFThe notion of a “designated community” has always been a rather elusive concept across the digital curation landscape. This paper is an effort to revisit the concept to stir up new discussions in the area. More specifically, this study offers a perspective on designated communities through the lens of the web, powered by developments in the last ten years in social media. The research presents a multi-faceted analysis of communities based on HTML content from online web pages to propose heuristics for defining designated communities based on the technology they adopt, properties of knowledge organisation, and how they link to each other. This impacts the building of quantifiable models of designated communities, estimating curation risks associated to the community and further, refining approaches to preservation strategies that meet the needs of the community
Promoting Data Reuse and Collaboration at an Academic Medical Center
Get PDFA need was identified by the Department of Population Health (DPH) for an academic medical center to facilitate research using large, externally funded datasets. Barriers identified included difficulty in accessing and working with the datasets, and a lack of knowledge about institutional licenses. A need to facilitate sharing and reuse of datasets generated by researchers at the institution (internal datasets) was also recognized. The library partnered with a researcher in the DPH to create a catalog of external datasets, which provided detailed metadata and access instructions. The catalog listed researchers at the medical center and the main campus with expertise in using these external datasets in order to facilitate research and cross-campus collaboration. Data description standards were reviewed to create a set of metadata to facilitate access to both externally generated datasets, as well as the internally generated datasets that would constitute the next phase of development of the catalog. Interviews with a range of investigators at the institution identified DPH researchers as most interested in data sharing, therefore targeted outreach to this group was undertaken. Initial outreach resulted in additional external datasets being described, new local experts volunteering, proposals for additional functionality, and interest from researchers in inclusion of their internal datasets in the catalog. Despite limited outreach, the catalog has had ~250 unique page views in the three months since it went live. The establishment of the catalog also led to partnerships with the medical center’s data management core and the main university library. The Data Catalog in its present state serves a direct user need from the Department of Population Health to describe large, externally funded datasets. The library will use this initial strong community of users to expand the catalog and include internally generated research datasets. Future expansion plans will include working with DataCore and the main university library