Conference Agenda

To read the abstracts of submissions, click on the title of the session at the top of the cell, not on the title of the submission.  

 
 
Session Overview
Session
O 1.4: Online Discussion Data
Time:
Thursday, 09/June/2022:
3:30pm - 4:00pm

Session Chair: Winnie Schats

The abstracts will not be presented live during this session. You can are advised to view the recorded presentations before this session. Presenters will briefly introduce themselves and then discuss their research, and answers questions.


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Presentations
ID: 211 / O 1.4: 1
Online Oral Presentation
Topics: Data

ANALYSIS OF A DECADE OF RESEARCH GAP IN DATA MANAGEMENT PRACTICES IN ACADEMIC LIBRARIES: A SOCIAL SCIENCE PERSPECTIVES

Dorcas Irewole Ibinaiye1, Glenrose Velile Jiyane2, Jennifer Wemimo Ibinaiye3, Rukayat A. Tijani4

1University of Zululand, South Africa; 2University of Zululand, South Africa; 3Ahmadu Bello University, Zaria, Nigeria; 4Ahmadu Bello University, Zaria, Nigeria

Introduction

The changing needs of academic library users require services such as research data management, data sharing, data stewardship, linked data technology, big data, knowledge of data management and policies to be included in the library and information science curriculum, and professional training for effective service delivery in academic libraries in the developing countries specifically in Africa. Academic libraries in Africa recognise the importance of research data management practices to ensure that organised data is shared, accessible, usable, safe, and trusted for effective service delivery. The idea of RDM practices met researchers’ complex changing information needs and became more personalised and detailed. Despite the value and benefits of RDM services for researchers and patrons, RDM services were poorly implemented and underutilised among African scholars.

Aim

This study aimed to identify the research gap in studies investigating the research data management practices in academic libraries in Africa from the social science perspective to inform the best method of meeting clients’ information needs in the 21st century. The study sought to answer the questions such as: What is the role of data librarians as data management service providers in addressing the changing information needs of users of academic libraries? What are the current practices and training requirements to ensure efficient research data management provision in academic libraries within the last decade? What strategies were used to provide efficient research data management practices to inform the changing needs of users of academic libraries in the previous decade?

Method/ Program Description

Library and Information Science Source and Scopus databases were searched for articles focusing on research data management practices and services provision and addressing the changing information needs of users of academic libraries in Africa. Limits were set to include articles published in English between 2013 and 2022 in the literature analysis.

Results/ Evaluation

Most articles focusing on research data management practices and services in academic libraries in Africa from social science perspectives were published between 2017 and 2021. However, little literature addresses the changing needs of scholars using academic libraries.

Conclusion

Understanding the complexities involved in the use of data and the role of data librarians is crucial to effective data management services provided for users of academic and research libraries. Current practices involve acquiring data management skills, given that it is essential in helping data librarians address the changing needs of library clients. Strategies for best practices in research data management practices in academic libraries in Africa include awareness of the benefits of RDM, data literacy and skill acquisition, adoption of digital technologies, and practical communication skills to stay relevant in this increasingly digital world.

Human Touch (Recommended)

The literature search was limited to articles published between 2013 and 2022. Despite challenges faced by LIS professionals, research data management practices remain crucial to improving African academic and research libraries. Recommendations made include: increasing funding for library managers, adopting working policies, making information available for researchers, providing training for LIS professionals, grant opportunities for LIS researchers as well as improving services provision.

Biography and Bibliography
Ibinaiye Dircas Irewole is a doctoral student in the Department of Library and Information Studies, University of Zululand, South Africa.

Ibinaiye, Irewole Dorcas I. D.; SAMBO, Suleiman Dr.; YUSUF,, Ahmed; and ABDULFATAH, Abdulrahim, "A Scoping Review of Research Ethics and Practices in Library and Information Science in Scopus and Library and Information Science Source Databases" (2021). Library Philosophy and Practice (e-journal). 6599.

Ibinaiye, Irewole Dorcas., "Applying Comprehensive Model of Information Seeking to Hepatitis B and C Patients’ Information Seeking in the South African Context: A Scoping Review" (2021). Library Philosophy and Practice (e-journal). 4934. https://digitalcommons.unl.edu/libphilprac/4934

Ibinaiye, I. D., & Jiyane, G. V. (2021). Hepatitis B and C Patients' Information Seeking at a Selected Tertiary Health Institution in South Africa. Mousaion, 39(2).

Ibinaiye-ANALYSIS OF A DECADE OF RESEARCH GAP IN DATA MANAGEMENT PRACTICES IN ACADEMIC LIBRARIES-211_a.pptx

Ibinaiye-ANALYSIS OF A DECADE OF RESEARCH GAP IN DATA MANAGEMENT PRACTICES IN ACADEMIC LIBRARIES-211_b.docx

Ibinaiye-ANALYSIS OF A DECADE OF RESEARCH GAP IN DATA MANAGEMENT PRACTICES IN ACADEMIC LIBRARIES-211_c.pptx


ID: 1117 / O 1.4: 2
Oral Presentation
Topics: Data

Archiving and publishing research data at University Medical Centre Utrecht

Nico Poppelier

University Medical Centre Utrecht, The Netherlands, Netherlands, The

Introduction

In 2019 University Medical Centre Utrecht embarked on a project aimed at implementing a platform for archiving and disclosing the results of scientific research. Two fundamental concepts underlying this project are Open Science and FAIR. In this presentation we will describe the results of the project.

Aim

The goal of the project was to implement a platform that would enable researchers to archive the results of their research projects and to disclose these results to colleagues within and outside the institute. Fundamental concepts here are Open Science and FAIR. Sharing data is an important step that a research institute should take to give substance to the concept of Open Science, a component of the research strategy of University Medical Centre Utrecht . In order to optimally share data, it is crucial to make this data findable, accessible, interoperable and reusable (FAIR). For this, we need new IT platforms, but also clear policies and guidelines.

Method/ Program Description

Using a list of criteria developed by a working group of the Research Data Alliance, we evaluated several software packages, including Archivematica, Dataverse, DSpace, CKAN and YODA (a development of University Medical Centre Utrecht). Some of the important criteria were: GDPR compliance, metadata support, check-sums, and conversion to durable file formats.

We concluded that none of the specified software packages matched our requirements for both archiving and disclosing research data. However, a combination of two software packages, Archivematica and Dataverse, turned out to be the best solution for our institute. Therefore we decided to divide the project in three parts:

  1. implement an internal archive based on Archivematica
  2. implement DataverseNL as our preferred repository for sharing data
  3. develop an integration between Archivematica and Dataverse

Results/ Evaluation

In July 2021 we started using DataverseNL with our own guidelines and process description.

In December 2021 we will start using the Archivematica archive. The integration will be realized in the first quarter of 2022.

Conclusion

Developing and implementing the processes around these IT platforms proved to be very time-consuming. We also invested a lot of time in communication with researchers, writing documentation and developing training material. Data managers play an important role, since they provide support to the researchers. The principal investigators also play an important role, both in the process of publishing a dataset on DataverseNL, and in the process of assessing a request for access to a published dataset.

Human Touch (Recommended)

Introducing new IT platforms is only a small part of this project, since we require researchers to organize their work differently: structure your research folder, document all steps in your preparation and analysis, collect metadata for all data files, and document the conditions under which data can be shared. Open Science and FAIR are valuable concepts, but they do not come for free: researchers are required to spend extra time on meeting these requirements, supported by data managers. Most researchers are willing to do this, provided they are acknowledged and rewarded in some way.

Biography and Bibliography
1978-1984 MSc theoretical physics, University of Utrecht.
1984-1989 PhD theoretical nuclear physics, University of Utrecht.
1990-2000 Elsevier Science
Since 2002 I work at the University Medical Centre Utrecht, initially in the field of healthcare IT, but since early 2019 in the field of research IT.
My list of publications can be found through my ORCID identifier 0000-0002-1246-4342.

Poppelier-Archiving and publishing research data at University Medical Centre Utrecht-1117_a.pptx
   


ID: 1147 / O 1.4: 3
Oral Presentation
Topics: Data

Implementing new tool during the pandemic distance work - case REDCap

Katri Larmo, Tiina Heino, Iina Hepolehto

Helsinki University Library, Terkko Medical Campus Library, Finland

Introduction: REDCap is a tool for capturing research data, also sensitive and personal data. It was created in 2004 at Vanderbilt University (USA) and is now widely used all over the world. University of Helsinki got REDCap license in 2020 and the tool was launched for customer use in 2021.

Aim: We describe the process of learning REDCap and starting the user education, all this during the pandemic distance work. How to communicate effectively, learn both together and independently, keep up the good spirit and sense of community and work intensively, with still enough time to breath and rest? The focus is on the individual information specialist point of view.

Program Description:

The initial REDCap admin team included 5 persons; 3 from the library and 2 from the IT-center. The system is owned by the library. REDCap was licensed in 2020 and launched to customers in 2021. The user support started with information campaign, webinar sessions and establishing REDCap-support-email. The first webinars were given from the survey data point of view, with good feedback.

However, we soon discovered the need for webinars specializing to the clinical research data point of view. It was decided that Terkko information specialist gives these webinars, with the support of research data team members. This started intensive learning – both for the REDCap tool and for deeper understanding of the clinical research process. In October 2021 the first two webinars of “REDCap – clinical data” were given and since that we have collectively supported the customers with their REDCap projects. One of the Terkko information specialists is now on the admin team of REDCap.

Evaluation:

From the individual information specialist point of view, the key things to make this happen were 1) Great support from colleagues and learning together 2) Strong motivation: we were very happy to get REDCap available for our customers. 3) Deadlines: “test webinar” given to colleagues, right after the summer holidays, gave good structure for working 4) Very generous sharing of information also form other organizations; e.g. an experienced REDCap-user and biostatistician from the University of Turku giving us a “private” webinar session 5) Active utilization of excellent REDCap webinars from YouTube – thanks to the distance work there were lot of good webinars available 6) Change to make stupid questions 7) Aiming to “growth mindset” (see Dr. Carol Dweck) 8) Customers’ questions and real life cases 9) Problem solving together with good colleagues and customers.

Conclusion:

When implementing new services, especially in exceptional times such as the covid pandemic and total distance working, it is crucial to have the good and continuous communication with colleagues, a strong sense of community and motivation.

Human Touch:

With this presentation we would like to invite EAHIL colleagues to this discussion – both about the practicalities of REDCap and creating a good supportive atmosphere that carries us through to the “new normal”.

Biography and Bibliography
Dweck CS. Mindset: The New Psychology of Success. Updated Edition. New York: Ballantine Books; 2007. 320 s.

Larmo-Implementing new tool during the pandemic distance work-1147_a.pptx

Larmo-Implementing new tool during the pandemic distance work-1147_b.mp4
 


ID: 104 / O 1.4: 4
Online Oral Presentation
Topics: Data

Evaluating the Data Literacy of Academic Librarians in Iran

Maryam Moghadami1, Mila Malekolkalami2, Hassan Mantegh3

1Tehran University, Iran, Islamic Republic of; 2Tarbiat moders university,iran, Islamic Republic of; 3Tarbiat moders university,iran, Islamic Republic of

Introduction
Today, data literacy is essential for people. Data literacy is even more critical for librarians as information science professionals who are exposed to a wealth of information and data daily. Data literacy is a new concept in the field of librarianship. Understanding how to work with large datasets, how to generate them, how to connect different datasets, and how to interpret them is valuable
Aim
This article studies and compares the situation of data literacy of students and graduates in the field of knowledge and information science who are working as librarians or specialists in libraries and information departments in Iran
Method/ Program Description
We review graduates' and students’ data literacy through a questionnaire consisting of 4 sections and 24 questions designed by Oguguo et al. (2020). This study shows that despite the importance of data literacy skills such as data collection, hypothesis statements, data visualization, and interpretation, Ph.D. students, and Masters and Ph.D. graduates do not seem to have sufficient data analysis skills
Results/ Evaluation
Findings show that librarians are highly skilled in the components of data collection, hypotheses and problem statements, data visualization, and interpretation. However, they are at a moderate level in data analysis
Conclusion

Therefore, it is recommended that data literacy workshops for graduate students and postgraduate and doctoral graduates be held regularly to help them acquire the necessary skills for data literacy. Teaching data literacy skills is one of the current challenges in the field of librarianship. The development of data literacy skills requires the policy-making of the Information Science and Science Planning Committee of Iran and the approval of related topics and curricula

Human Touch (Recommended)

Teaching data literacy skills is one of the current challenges in the field of librarianship. The development of data literacy skills requires the policy-making of the Information Science and Science Planning Committee of Iran and the approval of related topics and curricula


Moghadami-Evaluating the Data Literacy of Academic Librarians-104_a.pptx

Moghadami-Evaluating the Data Literacy of Academic Librarians-104_b.pdf
 


ID: 168 / O 1.4: 5
Online Oral Presentation
Topics: Data

Knowledge and skills required of data librarians in universities: A qualitative research

Maryam Moghadami

Tehran University, Iran, Islamic Republic of

The purpose of this workshop is to examine the knowledge and skills required of people working in the data management space in universities.
Method: This research is applied in terms of qualitative method and purpose. To examine the research questions, 30 librarians and IT specialists in universities were interviewed.
Findings: The most common set of skills required for the job of data librarian for librarians and IT professionals was technical skills, data knowledge and information technology. From the librarians' point of view, having a broad understanding of data types, metadata and legal frameworks, appropriate information technology knowledge, and teaching and support skills is crucial to playing the role of data manager in academic libraries. Few current data professionals have specific data requirements, and none of the interviewees have received appropriate training in data management in their work.
Discussion and conclusion:
This workshop provides a new insight into the knowledge and skills required for librarians and data managers in Iranian university libraries. Holding training courses for data librarians, data management and metadata, and specialized IT skills courses are necessary to improve the professional skills of librarians and data managers

Biography and Bibliography
Ph.D. candidate of knowledge management
data librarian
researcher in data management

Moghadami-Knowledge and skills required of data librarians in universities-168_a.pptx

Moghadami-Knowledge and skills required of data librarians in universities-168_b.pdf
 


ID: 1112 / O 1.4: 6
Oral Presentation
Topics: Data

The Radboud University Data Repository: digital preservation throughout the research lifecycle

Didi Lamers, Inge Slouwerhof

Radboud University Library, Nijmegen, the Netherlands

Introduction

At Radboud University a new tool has recently been developed and put into service to archive, publish and share digital research data acquired, processed, and analysed by researchers of the University. This novel repository is named the Radboud University Data Repository.
Aim

To serve researchers throughout the research lifecycle, the mission of the repository is threefold:

  1. To offer long-term internal data preservation for internal re-use
  2. To offer long-term internal data preservation for reproducibility and scientific integrity
  3. To offer FAIR open access data sharing with the external scientific community

Method

The repository allows researchers to archive their data into three types of data collections, collectively corresponding to a single research project. Raw, unprocessed data of the project are preserved in Data Acquisition Collections (DACs). The research process is documented in Research Documentation Collections (RDCs). Data on which a scientific publication is based are stored and publicly shared in Data Sharing Collections (DSCs), which stimulate FAIR data preservation. The collection types serve the goals of long-term internal data preservation for re-use, reproducibility, and scientific integrity (DACs and RDCs) and of FAIR open access data sharing with the external scientific community (DSCs).

The <our organisation> Data Repository is suitable for daily data handling and researchers can collaborate on their data with colleagues from inside and outside of the university by extensive role-based access management. When a data collection is complete, it can be archived (DACs and RDCs) or published (DSCs). Access to published DSCs can be managed by the researcher based on a wide variety of Data Use Agreements. All data collections are made findable by metadata indexing in a searchable resource, the assignment of a persistent identifier (DOI), and the availability of rich metadata fields.
Results

The repository was launched in January 2021. By now (November 2021) it contains 64 data collections. A survey will be used to evaluate user satisfaction.
Conclusion

With the launch of the RDR, <our organisation> now has a tool available that promotes FAIR research data and enhances the impact of its research.

Human Touch (Recommended)

Without having to spend a lot of time on research data management, researchers of <our organisation> can now easily archive or publicly share their research data, enhancing the impact and reproducibility of their research.

Biography and Bibliography
After the successful defense of my PhD thesis in February 2021, I started working as a research data management specialist at Radboud University Nijmegen, the Netherlands. I work as a data steward and product owner of the University’s institutional repository: the Radboud Data Repository. Our repository has been in use since January of this year. A large part of my daily activities consists of communicating with researchers, data stewards, research data management specialists, data architects, and developers to incorporate their feedback and insights in order to maximize the value of our repository. My background is in biology, with a master’s degree in the Molecular Mechanisms of Disease (research master at Radboud University) and a PhD in neuroscience/biophysics at the Scuola Normale Superiore di Pisa, Italy. My research activities taught me about epilepsy, electrophysiology, in vivo imaging, and writing data analysis software, but also about the importance of re-usability and reproducibility of research data. I am happy that in my new position as Data Steward and product owner of the RDR I can help to make the research process more efficient.

Lamers-The Radboud University Data Repository-1112_a.pdf
   


 
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