scholarly journals Research Data Management Challenges in Citizen Science Projects and Recommendations for Library Support Services. A Scoping Review and Case Study

2021 ◽  
Vol 20 (1) ◽  
pp. 25
Author(s):  
Jitka Stilund Hansen ◽  
Signe Gadegaard ◽  
Karsten Kryger Hansen ◽  
Asger Væring Larsen ◽  
Søren Møller ◽  
...  
2021 ◽  
Vol 16 (1) ◽  
pp. 11
Author(s):  
Klaus Rechert ◽  
Jurek Oberhauser ◽  
Rafael Gieschke

Software and in particular source code became an important component of scientific publications and henceforth is now subject of research data management.  Maintaining source code such that it remains a usable and a valuable scientific contribution is and remains a huge task. Not all code contributions can be actively maintained forever. Eventually, there will be a significant backlog of legacy source-code. In this article we analyse the requirements for applying the concept of long-term reusability to source code. We use simple case study to identify gaps and provide a technical infrastructure based on emulator to support automated builds of historic software in form of source code.  


2015 ◽  
Vol 49 (4) ◽  
pp. 424-439 ◽  
Author(s):  
Gareth Knight

Purpose – The purpose of this paper is to present a case study of work performed at the London School of Hygiene and Tropical Medicine to set-up a Research Data Management Service and tailor it to the needs of health researchers. Design/methodology/approach – The paper describes the motivations for establishing the RDM Service and outlines the three objectives that were set to improve data management practice within the institution. Each of the objectives are explored in turn, stating how they were addressed. Findings – A university with limited resources can operate a RDM Service that pro-actively supports researchers wishing to manage research data by monitoring evolving support needs, identifying common trends and developing resources that will reduce the time investment needed. The institution-wide survey identified a need for guidance on developing data documentation and archiving research data following project completion. Analysis of ongoing support requests identifies a need for guidance on data management plans and complying with journal sharing requirements. Research limitations/implications – The paper provides a case study of a single institution. The results may not be generally applicable to universities that support other disciplines. Practical implications – The case study may be helpful in helping other universities to establish an RDM Service using limited resources. Originality/value – The paper outlines how the evolving data management needs of public health researchers can be identified and a strategy that can be adopted by an RDM Service to efficiently address these requirements.


2018 ◽  
Vol 12 (2) ◽  
pp. 246-254 ◽  
Author(s):  
Veronica A Ikeshoji-Orlati ◽  
Clifford B Anderson

This paper examines the intersection of legacy digital humanities projects and the ongoing development of research data management services at Vanderbilt University’s Jean and Alexander Heard Library. Future directions for data management and curation protocols are explored through the lens of a case study: the (re)curation of data from an early 2000s e-edition of Raymond Poggenburg’s Charles Baudelaire: Une Micro-histoire. The vagaries of applying the Library of Congress Metadata Object Description Schema (MODS) to the data and metadata of theMicro-histoirewill be addressed. In addition, the balance between curating data and metadata for preservation vs. curating it for (re)use by future researchers is considered in order to suggest future avenues for holistic research data management services at Vanderbilt.


PLoS ONE ◽  
2017 ◽  
Vol 12 (5) ◽  
pp. e0178261 ◽  
Author(s):  
Laure Perrier ◽  
Erik Blondal ◽  
A. Patricia Ayala ◽  
Dylanne Dearborn ◽  
Tim Kenny ◽  
...  

2012 ◽  
Vol 7 (1) ◽  
pp. 126-138 ◽  
Author(s):  
Liz Lyon

In this paper, Liz Lyon explores how libraries can re-shape to better reflect the requirements and challenges of today’s data-centric research landscape. The Informatics Transform presents five assertions as potential pathways to change, which will help libraries to re-position, re-profile, and re-structure to better address research data management challenges. The paper deconstructs the institutional research lifecycle and describes a portfolio of ten data support services which libraries can deliver to support the research lifecycle phases. Institutional roles and responsibilities for research data management are also unpacked, building on the framework from the earlier Dealing with Data Report. Finally, the paper examines critical capacity and capability challenges and proposes some innovative steps to addressing the significant skills gaps.


2017 ◽  
Author(s):  
Marta Teperek ◽  
Rosie Higman ◽  
Danny Kingsley

AbstractWhen developing new products, tools or services, one always need to think about the end users to ensure a wide-spread adoption. While this applies equally to services developed at higher education institutions, sometimes these services are driven by policies and not by needs of end users. This policy-driven approach can prove challenging for building effective community engagement. The initial development of Research Data Management support services at the University of Cambridge was policy-driven and subsequently failed in the first instance to engage the community of researchers for whom these services were created.In this practice paper we will describe the initial approach undertaken at Cambridge when developing RDM services, the results of this approach and lessons learnt. We will then provide an overview of alternative, democratic strategies employed and their positive effects on community engagement. We will summarise by performing a cost-benefit analysis of the two approaches. This paper might be a useful case study for any institutions aiming to develop central support services for researchers, with conclusions applicable to the wide sector, and extending beyond Research Data Management services.


2021 ◽  
Vol 5 (1) ◽  
pp. 35
Author(s):  
Seno Yudhanto ◽  
Nina Mayesti

Organizing research data is very important for data and information managers through a research data management mechanism (research data management/MDP) in a repository system. In this mechanism, research data must be organized and described as an effort to provide access. One important aspect of organizing is the availability of metadata. This Study was supported by the Institute of Sciences of Indonesia (LIPI) and the SAINTEK Scholarship from the Ministry of Research and Technology/National Research and Innovation Agency of the Republic of Indonesia (KEMENRISTEK/BRIN) in 2020 and it’s purpose is to identify and describe metadata standards and metadata elements used in research data management in the National Scientific Repository (RIN) system. This study uses a qualitative approach with a case study method. Sources of data come from literature / document studies and direct observation. The results of the study show that the RIN system adopts descriptive metadata from three main standards, they are DublinCore, DataCite, and DDI. As a medium for describing research data in general, the metadata sections provided by the RIN system in the dataset folder are quite large and complete. Of the 35 metadata fields available in the dataset folder in this system, the three metadata standards complement each other with an adaptation of the dominant DDI standard with 32 metadata fields. However, the fields that are available can also be found in other standards, such as the title, subject, or keyword fields that are also found in the DublinCore and DataCite standards. Thus, the metadata fields provided in the RIN system is good enough and sufficient for research data management needs.


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