Doctoral Students’ Educational Needs in Research Data Management: Perceived Importance and Current Competencies

Author : Jukka Rantasaari

Sound research data management (RDM) competencies are elementary tools used by researchers to ensure integrated, reliable, and re-usable data, and to produce high quality research results.

In this study, 35 doctoral students and faculty members were asked to self-rate or rate doctoral students’ current RDM competencies and rate the importance of these competencies.

Structured interviews were conducted, using close-ended and open-ended questions, covering research data lifecycle phases such as collection, storing, organization, documentation, processing, analysis, preservation, and data sharing.

The quantitative analysis of the respondents’ answers indicated a wide gap between doctoral students’ rated/self-rated current competencies and the rated importance of these competencies.

In conclusion, two major educational needs were identified in the qualitative analysis of the interviews: to improve and standardize data management planning, including awareness of the intellectual property and agreements issues affecting data processing and sharing; and to improve and standardize data documenting and describing, not only for the researcher themself but especially for data preservation, sharing, and re-using. Hence the study informs the development of RDM education for doctoral students.

URL : Doctoral Students’ Educational Needs in Research Data Management: Perceived Importance and Current Competencies

DOI : https://doi.org/10.2218/ijdc.v16i1.684

Manuscript Accepted!: Collaborating on a scholarly publishing symposium for graduate students and early career academic faculty

Authors : Teresa Auch Schultz, Rosalind Bucy, Amy Hunsaker, Amy Shannon, Chrissy Klenke, Iñaki Arrieta Baro

INTRODUCTION

As academic libraries expand their scholarly communication support, they also need to find ways to help educate graduate students about this area as well as market themselves.

DESCRIPTION OF PROGRAM

The University of Nevada, Reno Libraries created a one-day symposium, called Manuscript Accepted!, aimed at graduate students and early career faculty that would use faculty and library expertise to lead panels and workshops.

This article discusses planning for the event, including collaborating with other on-campus groups, working with publishers for financial support, and planning a program that would meet a variety of needs. Assessment of the first two symposiums, held in 2019 and 2020, shows that attendees valued the event while also highlighting the need for more targeted support for specific areas, such as the humanities.

NEXT STEPS

The Libraries plans to continue Manuscript Accepted! as a one-day symposium, although it will also look to ways to expand attendance. Finally, the Libraries is investigating ways to create smaller events that could be tied into the Manuscript Acceptance! brand but that help meet other needs of our attendees.

URL : Manuscript Accepted!: Collaborating on a scholarly publishing symposium for graduate students and early career academic faculty

DOI : https://doi.org/10.7710/2162-3309.2385

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

Transparency, provenance and collections as data: the National Library of Scotland’s Data Foundry

Author : Sarah Ames

‘Collections as data’ has become a core activity for libraries in recent years: it is important that we make collections available in machine-readable formats to enable and encourage computational research. However, while this is a necessary output, discussion around the processes and workflows required to turn collections into data, and to make collections data available openly, are just as valuable.

With libraries increasingly becoming producers of their own collections – presenting data from digitisation and digital production tools as part of datasets, for example – and making collections available at scale through mass-digitisation programmes, the trustworthiness of our processes comes into question.

In a world of big data, often of unclear origins, how can libraries be transparent about the ways in which collections are turned into data, how do we ensure that biases in our collections are recognised and not amplified, and how do we make these datasets available openly for reuse?

This paper presents a case study of work underway at the National Library of Scotland to present collections as data in an open and transparent way – from establishing a new Digital Scholarship Service, to workflows and online presentation of datasets.

It considers the changes to existing processes needed to produce the Data Foundry, the National Library of Scotland’s open data delivery platform, and explores the practical challenges of presenting collections as data online in an open, transparent and coherent manner.

URL : Transparency, provenance and collections as data: the National Library of Scotland’s Data Foundry

Original location : https://www.liberquarterly.eu/article/10.18352/lq.10371/

Wiki Trans : une communauté de savoir sur la transidentité

Auteur/Author : Bérengère Stassin

Cet article porte sur Wiki Trans, un site collaboratif créé par une femme transgenre pour permettre la mise en commun d’expériences et le partage d’informations liées aux aspects sociaux et médicaux de la transidentité et répondre aux besoins informationnels qu’elle suscite.

Le site vise à centraliser des informations dispersées au sein du web, à traduire en français des ressources anglophones et à vulgariser de l’information médicale et scientifique. Ce projet favorise l’émergence d’une communauté de savoir en ligne composée de personnes transgenres et cisgenres, de bénévoles et de médecins.

Une hybridation entre savoirs expérientiels et savoirs experts est alors observée.

DOI : https://doi.org/10.4000/ctd.3723

The Pioneering Role of Sci in Post Publication Public Peer Review (P4R)

Authors : Ahmad Yaman Abdin, Muhammad Jawad Nasim, Yannick Ney, Claus Jacob

Scientists observe, discover, justify and eventually share their findings with the scientific community. Dissemination is an integral aspect of scientific discovery, since discoveries which go unnoticed have no or little impact on science.

Today, peer review is part of this process of scientific dissemination as it contributes proactively to the quality of a scientific article. As the numbers of scientific journals and scientific articles published therein are increasing steadily, processes such as the single-blind or double-blind peer review are facing a near collapse situation.

In fact, these traditional forms of reviewing have reached their limits and, because of this, are also increasingly considered as unfair, sloppy, superficial and even biased. In this manuscript, we propose forms of post-publication public peer review (P4R) as valuable alternatives to the traditional blind peer review system.

We describe how the journal Sci has explored such an approach and provide first empirical evidence of the benefits and also challenges, such a P4R approach faces.

URL : The Pioneering Role of Sci in Post Publication Public Peer Review (P4R)

DOI : https://doi.org/10.3390/publications9010013

Collaborative Data Literacy Education for Research Labs: A Case Study at a Large Research University

Authors : John Watts, Laura Sare, David E. Hubbard

Data literacy education for graduate students can take place in many contexts. One-shot instruction sessions and credit-bearing courses are a common mode of instruction for the graduate student audience, but both share limitations regarding best practices for adult learning theory.

This case study explores the benefits of data literacy education in a research lab setting and highlights the collaborations among data librarians, a liaison librarian, and research faculty that enable effective learning experiences in labs or other applied settings.

The authors share the design of the curriculum, facilitation of the instruction, and the assessment of student learning, as well as their approach to collaboration as an essential component of the project.

URL : Collaborative Data Literacy Education for Research Labs: A Case Study at a Large Research University

Original location : https://digitalcommons.du.edu/collaborativelibrarianship/vol12/iss3/7