Data modeling and processing as a library service for digital humanities research data management

Special Collections ◽

Our University Library (UBL) have seen the need and potential for strengthening the infrastructure for digital full text resources at the University of Bergen and we wanted better to establish the library’s role in this area.Five years ago, several research communities expressed concerns that it was becoming increasingly difficult to sustain the competence necessary to run and maintain both physical and digital research archives. More specifically a concrete need for supporting XML-based digital humanities text resources was voiced. We felt the UBL could meet this need by providing a new service.A combination of data modeling, data conversion and an active use of open data solutions has in our view shown itself to be an effective solution. We find that in-house data modeling and processing competence is essential in order to cope with tasks connected to digital text and image resources.Our poster will outline our digital service provision by giving selected references and examples.The Wittgenstein Archives at the University of Bergen (WAB) is one example of a recipient of UBL data services. WAB maintains a richly encoded XML version of the complete Nachlass of philosopher Ludwig Wittgenstein.A library web resource building upon library data modeling and conversion is MARCUS, which shows how catalogue data and image data for the University Library’s own manuscript collections and photographic collections are currently digitized and interconnected using electronic representations of documents and Linked Data/RDF (Resource Description Format) metadata. MARCUS meets UBLs long felt need for a unified special collections digital system. This relates not only to document storage, display and dissemination, but also to the library workflow for the special collections. Both WAB and MARCUS benefits, strategically and day-to-day, from the same competencies within the library.We think that a sensible future-oriented solution entails that each institution, to a greater degree than before, works with modeling and conversion of its own data. Our view is that using Linked Data/RDF encoding will pave the way to connecting data sets in such a way that they enrich one another. Rather than functioning as system providers, we envision large institutions processing and sharing open datasets, as well as encouraging and enabling others to do the same.In line with LIBERs Ten recommendations for libraries to get started with research data management our view is that data modeling and data conversion, within the frame of an active use of open data solutions, are services that belongs within the portfolio of the research library. Presented by Irene Eikefjord, Senior Librarian, University of Bergen Library

Archiving South African digital research data: How ready are we?

South African Journal of Science ◽

10.17159/sajs.2016/20150316 ◽

2016 ◽

Vol Volume 112 (Number 7/8) ◽

Cited By ~ 1

Author(s):

Margaret M. Koopman ◽

Karin de Jager ◽

◽

Keyword(s):

Data Management ◽

South African ◽

Academic Research ◽

Research Data ◽

Digital Data ◽

Systematic Research ◽

Data Archiving ◽

The University ◽

Digital Research

Abstract Digital data archiving and research data management have become increasingly important for institutions in South Africa, particularly after the announcement by the National Research Foundation, one of the principal South African academic research funders, recommending these actions for the research that they fund. A case study undertaken during the latter half of 2014, among the biological sciences researchers at a South African university, explored the state of data management and archiving at this institution and the readiness of researchers to engage with sharing their digital research data through repositories. It was found that while some researchers were already engaged with digital data archiving in repositories, neither researchers nor the university had implemented systematic research data management.

Dendro: Collaborative Research Data Management Built on Linked Open Data

Lecture Notes in Computer Science - The Semantic Web: ESWC 2014 Satellite Events ◽

10.1007/978-3-319-11955-7_71 ◽

2014 ◽

pp. 483-487 ◽

Cited By ~ 7

Author(s):

João Rocha da Silva ◽

João Aguiar Castro ◽

Cristina Ribeiro ◽

João Correia Lopes

Keyword(s):

Data Management ◽

Collaborative Research ◽

Open Data ◽

Research Data ◽

Linked Open Data ◽

Research Data Management

From Project to Strategic Vision: Taking the Lead in Research Data Management Support at the University of Sydney Library

International Journal of Digital Curation ◽

10.2218/ijdc.v9i1.316 ◽

2014 ◽

Vol 9 (1) ◽

pp. 253-262 ◽

Cited By ~ 2

Author(s):

Belinda Norman ◽

Kate Valentine Stanton

Keyword(s):

Data Management ◽

Research Data ◽

Management Support ◽

Policy And Practice ◽

Roles And Responsibilities ◽

Strategic Vision ◽

The Commons ◽

The University ◽

Project Partner

This paper explores three stories, each occurring a year apart, illustrating an evolution toward a strategic vision for Library leadership in supporting research data management at the University of Sydney. The three stories describe activities undertaken throughout the Seeding the Commons project and beyond, as the establishment of ongoing roles and responsibilities transition the Library from project partner to strategic leader in the delivery of research data management support. Each story exposes key ingredients that characterise research data management support: researcher engagement; partnerships; and the complementary roles of policy and practice.

NFDI4Chem - Towards a National Research Data Infrastructure for Chemistry in Germany

Research Ideas and Outcomes ◽

10.3897/rio.6.e55852 ◽

2020 ◽

Vol 6 ◽

Cited By ~ 3

Author(s):

Christoph Steinbeck ◽

Oliver Koepler ◽

Felix Bach ◽

Sonja Herres-Pawlis ◽

Nicole Jung ◽

...

Keyword(s):

Data Management ◽

Data Science ◽

Open Data ◽

Research Data ◽

Data Standards ◽

Data Repositories ◽

Data Infrastructure ◽

Wide Range ◽

Chemistry Community

The vision of NFDI4Chem is the digitalisation of all key steps in chemical research to support scientists in their efforts to collect, store, process, analyse, disclose and re-use research data. Measures to promote Open Science and Research Data Management (RDM) in agreement with the FAIR data principles are fundamental aims of NFDI4Chem to serve the chemistry community with a holistic concept for access to research data. To this end, the overarching objective is the development and maintenance of a national research data infrastructure for the research domain of chemistry in Germany, and to enable innovative and easy to use services and novel scientific approaches based on re-use of research data. NFDI4Chem intends to represent all disciplines of chemistry in academia. We aim to collaborate closely with thematically related consortia. In the initial phase, NFDI4Chem focuses on data related to molecules and reactions including data for their experimental and theoretical characterisation. This overarching goal is achieved by working towards a number of key objectives: Key Objective 1: Establish a virtual environment of federated repositories for storing, disclosing, searching and re-using research data across distributed data sources. Connect existing data repositories and, based on a requirements analysis, establish domain-specific research data repositories for the national research community, and link them to international repositories. Key Objective 2: Initiate international community processes to establish minimum information (MI) standards for data and machine-readable metadata as well as open data standards in key areas of chemistry. Identify and recommend open data standards in key areas of chemistry, in order to support the FAIR principles for research data. Finally, develop standards, if there is a lack. Key Objective 3: Foster cultural and digital change towards Smart Laboratory Environments by promoting the use of digital tools in all stages of research and promote subsequent Research Data Management (RDM) at all levels of academia, beginning in undergraduate studies curricula. Key Objective 4: Engage with the chemistry community in Germany through a wide range of measures to create awareness for and foster the adoption of FAIR data management. Initiate processes to integrate RDM and data science into curricula. Offer a wide range of training opportunities for researchers. Key Objective 5: Explore synergies with other consortia and promote cross-cutting development within the NFDI. Key Objective 6: Provide a legally reliable framework of policies and guidelines for FAIR and open RDM.

eLabFTW as an Open Science tool to improve the quality and translation of preclinical research

F1000Research ◽

10.12688/f1000research.52157.1 ◽

2021 ◽

Vol 10 ◽

pp. 292

Author(s):

Michael Hewera ◽

Daniel Hänggi ◽

Björn Gerlach ◽

Ulf Dietrich Kahlert

Keyword(s):

Data Management ◽

Open Source ◽

Academic Research ◽

Open Data ◽

Open Science ◽

Research Data ◽

Preclinical Research ◽

New Methods ◽

Set Up

Reports of non-replicable research demand new methods of research data management. Electronic laboratory notebooks (ELNs) are suggested as tools to improve the documentation of research data and make them universally accessible. In a self-guided approach, we introduced the open-source ELN eLabFTW into our lab group and, after using it for a while, think it is a useful tool to overcome hurdles in ELN introduction by providing a combination of properties making it suitable for small preclinical labs, like ours. We set up our instance of eLabFTW, without any further programming needed. Our efforts to embrace open data approach by introducing an ELN fits well with other institutional organized ELN initiatives in academic research.

bwFDM Communities – a Research Data Management Initiative in the County of Baden-Wuerttemberg, Germany

Septentrio Conference Series ◽

10.7557/5.3232 ◽

2014 ◽

Author(s):

Karlheinz Pappenberger

Keyword(s):

Data Management ◽

Science Research ◽

Research Data ◽

Point Of View ◽

Data Repository ◽

Full Time ◽

It Service ◽

Concrete Action ◽

>> See video of presentation (33 min.)On 29th July 2014 the Ministry of Science, Research and the Arts of Baden-Wuerttemberg, Germany, has launched an e-science initiative to build up a powerful, efficient and innovative information infrastructure for all universities, research institutions and universities of applied science of the county of southwest Germany. With the overall budget of 3.7 million euro action plans within the five areas licensing, digitalization, research data management, open access and virtual research environments shall be worked out within the next years.Within this framework an 18-month project has been launched at the beginning of 2014 to evaluate the needs of services and support libraries and IT service centres should offer for researchers in the area of research data management. In this “bwFDM communities” named project full time key accounters have been established at all 9 universities of the county (Freiburg, Heidelberg, Hohenheim, Karlsruhe, Konstanz, Mannheim, Stuttgart, Tuebingen and Ulm; among them national and international highly ranked universities). The task of the key accounters is to identity concrete needs and requirements of all research groups working with research data (in a broad sense including all areas of science, social science and humanities) at each of the nine universities as well as possible solutions by conducting semi-structured personal interviews and documenting them in the form of user stories. As a result issues of importance and requirements will be identified, categorized and finalized to recommendations for concrete action plans.The presentation will give an overview of the first results of the project, thereby also highlighting the roles libraries and IT service centres are expected to play from the researcher´s point of view. Furthermore the presentation will point out the response of the University of Konstanz Library to the rising awareness of the importance of research data within the University Executive, showing the special efforts the University of Konstanz Library undertakes to support researchers in their research data management so far and to build up more and more expertise in the area of research data management. One step had been the set-up of a disciplinary data repository in the field of ornithology (Movebank data repository).

Kutatási adatkezelést támogató szolgáltatás a Szegedi Tudományegyetemen

10.31915/nws.2021.18 ◽

2021 ◽

Author(s):

Rozália Zeller ◽

Szabolcs Hoczopán ◽

Gyula Nagy

Keyword(s):

Data Management ◽

Research Community ◽

Research Data ◽

Data Repository ◽

Institutional Research ◽

International Trends ◽

Professional Assistance ◽

Management Recommendations ◽

Following the national and international trends in mid-2020 the Klebelsberg Kuno Library of the University of Szeged has also started to deal with the issue of research data management. After thorough self-training the library staff studied the Hungarian and international best practices of managing research data. We tried to assess the needs of the institutional research data management habits and the opinion of the researchers of SZTE with a comprehensive questionnaire. We compiled a comprehensive questionnaire to assess the needs of our researchers, learn what they’re thinking about RDM and what kind of practices regarding RDM already exist in the research community. By evaluating the questionnaire we have determined the areas in which the library could provide professional assistance where there was a real need among researchers. Keeping in mind the needs of the research community of University of Szeged we have decided to develop the following services: copyright consulting, RDM trainings for PhD students, theoretical and methodological assistance for RDM, write institutional FAIR data management recommendations. The last four services have been successfully implemented. We also wrote a feasibility study to assess the possibilities of developing our own institutional data repository.

Student Research Data Management Practices at UC Data Day 2017

10.31219/osf.io/sjk8z ◽

2017 ◽

Author(s):

Amy E Koshoffer ◽

Keloni Parks

Keyword(s):

Student Engagement ◽

Data Management ◽

Poster Session ◽

Management Practices ◽

Research Data ◽

Student Research ◽

University Of Cincinnati ◽

This article discusses increasing student engagement surrounding data management and how the University of Cincinnati Libraries tried to engage students with a poster session for its Data Day event in 2017.

Economía de los datos: reto y oportunidad

COMeIN ◽

10.7238/c.n40.1506 ◽

2015 ◽

Author(s):

Estefanía Aguilar Moreno ◽

Eva Ortoll

Keyword(s):

Data Management ◽

Open Data ◽

Research Data ◽

Datos Abiertos

Las políticas y directrices europeas (y por extensión nacionales) sobre datos presentan retos y oportunidades. De forma amplia los datos abiertos (open data) o, de forma más específica, la gestión de datos de investigación (research data management) son dos ámbitos en los que los profesionales de la información tienen un rol que desempeñar, pero, ¿estamos los documentalistas preparados (y dispuestos) a ocupar nuestro papel en el mundo de los datos?¿“las universidades” adaptan con agilidad las competencias acordes a las nuevas demandas profesionales?

Teaching Open Science

Open Science Talk ◽

10.7557/19.5368 ◽

2020 ◽

Author(s):

Helene N. Andreassen ◽

Erik Lieungh

Keyword(s):

Open Access ◽

Data Management ◽

Teaching And Learning ◽

Open Science ◽

Research Data ◽

Open Access Publishing ◽

The Arctic ◽

Learning Support ◽

In this episode, we are discussing how to teach open science to PhD students. Helene N. Andreassen, head of Library Teaching and Learning Support at the University Library of UiT the Arctic University of Norway shares her experiences with the integration of open science in a special, tailor-made course for PhD's that have just started their project. An interdisciplinary, discussion-based course, "Take Control of Your PhD Journey: From (P)reflection to Publishing" consists of a series of seminars on research data management, open access publishing and other subject matters pertaining to open science. First published online February 26, 2020.