Interlinked and integrated research support services

Focuses on open science practices in suicide research. Specifically, the authors use examples from their own and others' work to demonstrate the opportunities for future-proofing research by implementing open science practices, and they discuss some of the challenges and their potential solutions. They cover implementing open science practices in new, ongoing, and concluded studies, and discuss practices in order of being 'low' to 'high' threshold to implement (based on Kathawalla et al., 2021). Space constraints preclude an extensive presentation of all open science practices although they briefly describe the strategies of providing preprints, sharing study materials and codes, preregistration of studies and registered reports, and sharing research data. To highlight the open science work of as many researchers as possible, examples are provided in Electronic Supplementary Material 1 (ESM 1) rather than in the text. The authors ask for readers' help in adding to these examples via their 'living' reading list (https://osf.io/v6y3t/).

Open Science is directly linked to the present trend of Research Data Management. To have fully open research data, systems that allow free access to the data need to be present. As a result, research institutions have tried to adapt to the changes required to be deemed as Open Science supporters. Several institutions implement a Current Research Information System (CRIS) and an Open Science Policy for all their published research data.Interoperable data between different systems implemented is a key feature of Open Science. In Europe, the European Open Science Cloud provides a set of standards and guidelines that must be followed so the implemented systems offer an interoperable service to their researchers.Previous research revealed that Albania is ready to take its first steps toward Open Science, and future ideas for how to contribute to the field were proposed. There were two significant findings: first, there is no CRIS implementation in Albanian institutions, and second, there is no strategy or policy to support Open Science. The research also proposed an Albanian Open Science Digital Repository.In this paper, we show how the implementation of the system is done and how it relates to the newly proposed Open Science Policy. The goal is to demonstrate how Albanian institutions are implementing advances towards Open Science.In conclusion, this paper demonstrates Albanian researchers' support for Open Science and the European Open Science Cloud.

Introduction: The open science movement has grown rapidly since the mid-2010s, and research has been conducted in various disciplines such as public health, medicine, education, and computer science. Research results have mainly been published in the journals of information science, computer science, and multidisciplinary fields. Method: To identify the intellectual structure of open science, we constructed a keyword bibliographic coupling analysis network. We examined a total of 1,000 articles on open science from the Web of Science, extracting and analysing 4,645 keywords. Then, we implemented and visualised the keyword bibliographic coupling network by constructing a keyword dataset and a reference dataset for each keyword. Results: By analysing the backbone keywords and clusters in the network, the study revealed that the most prominent keywords were open access, open data, and reproducibility. The analysis also uncovered nine clusters in open science research: open access, reproducibility, data sharing, preregistrations and registered reports, research data, open peer review, tools and platforms for reproducible research, open innovation, science policy, and preprints. These results indicated that open science research focuses on transparency and reproducibility. Additionally, it is noteworthy that this study revealed a considerable focus on the open innovation and science policy areas, which have not received much attention in previous studies. Conclusions: The findings can help to understand the landscape of open science research and may guide research funding institutes and research policymakers to design their policies to improve the open science scholarly environment.

Problem setting. One of the modern common directions for the development of the European Research Area is the introduction of a new approach to scientific research. The basis of this approach is the paradigm innovation, Open science, Open to the world. The full implementation of this paradigm within the European Research Area is possible only if the implementation of open science policy at the level of individual countries is ensured.The essence of open science policy is the provision of open access to research data, scientific publications and research infrastructures and the like.Open access to research infrastructures should be noted separately, as research infrastructures are one of the main means of obtaining scientific output. Accordingly, there is a need to analyze existing and develop new approaches to maximize access to research infrastructures with a view to their continued use in the process of public policymaking of open science in Ukraine.Recent research and publications analysis. Some foreign scientists (Foster I., Hey T., Trefethen A., and others) have researched open science and access to research infrastructures as part of it, but the focus of their research is placed on a particular variety of research infrastructures - on e-infrastructure, while the issue of open access also applies to the so-called classic research infrastructures. Ukrainian scientists researched the importance of digital information resources, including portals and registers, for the development of the state (Karpenko O. V., Vatkovskaya M. G., Kulak N. V., and others), but some focused research into the role of such resources in public policy on open science has not yet been conducted.The paper objective. The article aims to substantiate the need to create an open register of research infrastructures as one of the important conditions for implementing a public policy of open science, to demonstrate the benefits of using such a register in general and for Ukraine in particular, and to consider the example of a Romanian open register of research infrastructures.The paper main body. The article demonstrates the importance of creating an open registry of research infrastructures to ensure the implementation of public open science policy, as well as its importance for particular research infrastructures. The list of advantages that the state and the average user of R&D and technical services received in the conditions of creation and operation of such an open register are outlined. The importance of the visibility of research infrastructures to search users and partners for further collaborative research is demonstrated. The functioning and algorithm of user actions on the example of the Romanian open register of research infrastructures are considered.Conclusions of the research. The European Commission and other European institutions, which influence the formation of rules and the direct pursuit of research within the European Research Area, are currently implementing the paradigm innovation, Open science, Openness to the world. Open science policy, as a component of it, is divided into several areas, in particular, open access to research infrastructures. However, without ensuring the visibility of research infrastructures to the end-user, efforts spent to increase the openness of research infrastructures can be considered wasteful.Creating an open register of research infrastructures helps to systematize information on existing research infrastructures and the services they provide, to increase the visibility of research infrastructures for all stakeholders, and to facilitate the accounting, monitoring and evaluation of their status and activities, etc.Besides, the creation of such a registry and a platform that provides effective access to it facilitates easy and clear communication between providers and consumers of scientific and technical services, which is an important prerequisite for accelerating scientific and technological progress in general.The example of Romania illustrates a possible algorithm for the operation of such a registry and platform. A well-defined mechanism of work, limits of liability and user instructions for access and communication can serve as a benchmark for Ukraine when creating similar digital resources. Given the international development of ERRIS services, it is advisable to consider using them for Ukrainian research infrastructures.The areas of further research may be to study the process of creating open registers of research infrastructures in other countries of the European Research Area to use their experience in Ukraine. Also, research openings may include mechanisms for ensuring the openness of research infrastructures.

Continual Service Improvement (CSI) plays a critical role in increasing the quality of IT services leading to better customer satisfaction. However, a key challenge in service management is that service provider organizations do not identify CSI activities although they carry out improvements task on daily basis. An ad hoc approach to CSI may result in delays in improvement projects, poor transparency of improvements tasks and lack of focus in service improvement. The research problem of this study is: how to manage service-related improvements with ISO/IEC 20000 compliant CSI model. The main contribution of this paper is to study how service-related improvements are managed. By using case study methodology, we shall describe how CSI can be applied to healthcare information system services. Case study results are analyzed through a Socio-Technical System (STS) view. Our results show that service improvements can be managed with an ERP system including CSI records, workflows and status monitoring of CSI. Additionally, applying CSI to healthcare information systems requires a new set of skills from service managers covering service management, healthcare and medical device regulation. Finally, we show that multiactor network may cause challenges to CSI such as coordinating multiple vendors, stakeholders and customer representatives.

This study examines the level of openness of the intellectual collections in the Malaysian Public Universities Repositories, towards promoting the practice of open science in the institutions. Open science stands for a new system in which researchers all over the globe can come together and contribute to all research processes and at the end of the processes allows for the sharing of the scientific findings that are beneficial to all humanities freely. Specifically, the main objectives of the study were to identify, to what extent were the intellectual contents in the Institutional Repositories (IR) of the comprehensive universities in Malaysia open to the general public and how the librarians and researchers from these universities promote open science through the IR. Mixed-method research was used to gather information from the respondents. A total of 255 responses were received for the quantitative method and a total of 6 librarians were interviewed for the qualitative method to complement the other and triangulation was done to aggregate the major findings, which shows that the public universities in Malaysia were involved in OS through their institutional repositories. However, only 10% to 30% of the contents in these IR were available to the general public, while some institutions only provide the abstract to the public. Some recommended factors identified by the stakeholders to fully implement the OS practices were: the need for more enlightenment on the system, more of the modern digital facilities or infrastructure such as high-speed internet, and well-managed and secured databases.

Beginning in 2011, there have been several policy changes directly affecting the management, preservation, and accessibility of publically funded research and resulting research data in the United States. On January 18, 2011 the National Science Foundation (NSF) required data management plans to be submitted with all grant proposals (National Science Foundation, 2013). On February 22, 2013, the Office of Science and Technology Policy of the President of the United States extended a similar requirement to all federal agencies that have a research and development budget of more than $100 million (Holdren, 2013). These requirements illustrate the need for further coordination and management of data as scholarship and traditional scholarship in integrated publishing solutions. The case study presented in this paper will illustrate an early initiative at Purdue University to integrate discrete data publications with traditional scholarly publications through leveraging new and existing repository platforms and services (Zilinski, Scherer, Bullock, Horton, & Matthews). Examination of the case study will involve a discussion of workflow integration between Purdue’s data repository, the Purdue University Research Repository (PURR); its traditional press, the Purdue University Press (PUP); and the institutional repository, Purdue e-Pubs. Publications and Data: Changes in Public Policy Changes in Public Policy There have been several recent policy changes directly affecting the management, preservation, and accessibility of publically funded research and resulting research data in the United States. In March 2002, the National Institutes of Health (NIH) shared a draft statement on sharing research data and invited comments on the statement. In February 2003, the NIH finalized their statement on research data, stating all investigator initiated applications with direct costs greater than $500,000 in any single year will be expected to address data sharing in their application (National Institutes of Health, 2003). Furthermore, in 2008, the NIH released its Public Access Policy which requires funded research papers to be publically accessible on PubMed Central (National Institutes of Health, 2008). In January 2011, the National Science Foundation (NSF) required data management plans to be submitted with all grant proposals (National Science Foundation, 2013). In February 2013, the OSTP of the President of the United States extended a similar requirement to all federal agencies that have a research and development budget of more than $100 million (Holdren, 2013). Currently, agencies are crafting their responses to this memo and are asking for feedback from their communities. These requirements illustrate the need for further coordination and management of data as scholarship and traditional scholarship in integrated publishing solutions. Case Study: Purdue Libraries and the Joint Transportation Research Program (JTRP) A Service Model of Collaboration Purdue recognized the early need to develop distinct repositories that were focused on the specific and unique needs of content ranging from archival materials, traditional institutional repository materials, and data. With this in mind, Purdue created three distinct institutional repositories: e-Archives, the traditional archival repository; Purdue e-Pubs, the traditional institutional repository; and the Purdue University

In the past few years, there has been a notable shift in the open science landscape as more countries and international agencies release recommendations and implementation guidelines for open scholarship [1-7]. In August 2022, the US White House Office of Science and Technology (OSTP) released a memo [8] with guidance that all federally funded research articles be (1) open access and (2) include sharing of underlying datasets in public repositories. The global open scholarship conversation has shifted from making a case for open science to developing operational workflows to assess, monitor, and enforce open policies that can normalize, simplify, and streamline these processes for use in daily research practice. As various workflows are proposed, there is a need for collective action across funders, institutions, and governments to align on open science policies and practices to reduce the cost and friction of adoption [9-12].

<p>Integration of data management systems is a persistent problem in European projects that span multiple agencies. Months, if not years of projects are often expended on the integration of disparate database structures, data types, methodologies and outputs. Moreover, this work is usually confined to a single effort, meaning it is needlessly repeated on subsequent projects. The legacy effect of removing these barriers could therefore yield monetary and time savings for all involved, far beyond a single cross-jurisdictional project. </p><p>The European Union’s INTERREG VA Programme has funded the COMPASS project to better manage marine protected areas (MPA) in peripheral areas. Involving five organisations, spread across two nations, the project has developed a cross-border network for marine monitoring. Three of those organisations are UK-based and bound for Brexit (the Agri-Food and Biosciences Institute, Marine Scotland Science and the Scottish Association of Marine Science). With that network under construction, significant efforts have been placed on harmonizing data management processes and procedures between the partners. </p><p>A data management quality management framework (DM-QMF) was introduced to guide this harmonization and ensure adequate quality controls would be enforced. As lead partner on data management, the Irish Marine Institute (MI) initially shared guidelines for infrastructure, architecture and metadata. The implementation of those requirements were then left to the other four partners, with the MI acting as facilitator. This led to the following being generated for each process in the project:</p><p>Data management plan: Information on how and what data were to be generated as well as where it would be stored. </p><p>Flow diagrams: Diagrammatic overview of the flow of data through the project. </p><p>Standard Operating Procedures: Detailed explanatory documents on the precise workings of a process.</p><p>Data management processes were allowed to evolve naturally out of a need to adhere to this set standard. Organisations were able to work within their operational limitations, without being required to alter their existing procedures, but encouraged to learn from each other. Very quickly it was found that there were similarities in processes, where previously it was thought there were significant differences. This process of sharing data management information has created mutually benefiting synergies and enabled the convergence of procedures within the separate organisations. </p><p>The downstream data management synergies that COMPASS has produced have already taken effect. Sister INTERREG VA projects, SeaMonitor and MarPAMM, have felt the benefits. The same data management systems cultivated as part of the COMPASS project are being reused, while the groundwork in creating strong cross boundary channels of communication and cooperation are saving significant amounts of time in project coordination.</p><p>Through data management, personal and institutional relationships have been strengthened, both of which should persist beyond the project terminus in 2021, well into a post-Brexit Europe. The COMPASS project has been an exemplar of how close collaboration can persist and thrive in a changing political environment, in spite of the ongoing uncertainty surrounding Brexit.</p>

Background: Efficient data management and escalation processes are crucial for facilitating continuous improvement initiatives. Stroke care necessitates quick identification of opportunities for improvement (OFIs) related to core measures and performance improvement initiatives (PI). This abstract presents an overview of a tailored data management and escalation process designed to enhance stroke team performance through the utilization of SharePoint™. Methods: SharePoint™ list was configured to simultaneously capture OFIs identified by the stroke team. An automated email notification system triggers a prompt alert to the assigned parties, including unit department administrators and stroke champions, regarding the new entry. The assigned parties receive the email notification along with an audit link, granting them direct access to the corresponding audit form. Stakeholders then analyze the OFIs, develop action plans and assess trends in the data. This process supports continuous learning and adaptation, enabling the stroke team to refine strategies and optimizes compliance with The Joint Commission stroke standards. Results: From October 2021 through July 2024, 2,292 escalations were issued. The mean number of escalations per unit was 134.82. Most departments (8 out of 17) have escalations between 0 and 50. The highest number of escalations were in the ICU 639 (28%), followed by Interventional Radiology 542 (24%), and PACU 226 (10%). There were a total of 22,668 site visits to the SharePoint™ site, with 210 unique viewers. Figure 1 shows the SharePoint™ entry form that is utilized for escalation and analysis. Figure 2 displays PowerBI™ visualization depicting the unit summary of escalations by month, unit, and OFI type. Figure 3 demonstrates the site usage traffic. Conclusion: The data management and escalation process outlined in this abstract represents a paradigm shift in stroke team performance improvement strategies. By harnessing the capabilities of SharePoint™ and leveraging automated notifications, real-time data analytics, and collaborative action planning, healthcare organizations can effectively navigate the complexities of performance improvement in a rapidly evolving landscape. This process not only enhances operational efficiency but also empowers stakeholders to drive meaningful change, ultimately leading to improved patient outcomes and enhanced quality of care driven by sustainable PI.

La gestión de datos de investigación ha implicado acciones tempranas e inmediatas en las instituciones de educación superior en Colombia y en el mundo entero. En agosto del 2022, el Ministerio de Ciencias, Tecnologías e Innovación de Colombia publicó la Política Nacional de Ciencia Abierta, en cual, se expresan en sus metas y estrategias la implementación de servicios de gestión de datos de investigación y repositorio de datos. En la presente investigación se define el servicio de gestión de datos de investigación en la Universidad Distrital Francisco José de Caldas, universidad pública con una población cercana a los 28.000 estudiantes y con más de 200 grupos de investigación. A través de la metodología referencia TOPE (Tecnology, Organization, People, Environment) se identificó una necesidad urgente de definir políticas, formación y estrategias de acompañamiento para la gestión de datos de investigación, así como el acompañamiento de las instancias de investigación y bibliotecas dentro de la propia institución; el diagnóstico de datos de investigación publicados por investigadores de la institución permitió identificar 599 datasets publicados en los últimos 12 años en diferentes repositorios como Mendeley Data, Zenodo, SiB Colombia - GBIF Colombia para, finalmente, definir, mediante la metodología Business Process Management Notation, el planteamiento del servicio de gestión de datos de investigación para toda la institución. Esta pesquisa plantea un escenario de respuesta a la política nacional y establece nuevas rutas orientadas a desarrollar un nivel de madurez a nivel institucional respecto a la gestión de datos de investigación en un contexto de ciencia abierta.

The research data life cycle from project planning to data publishing is an integral part of current research. Until the last decade, researchers were responsible for all associated phases in addition to the actual research and were assisted only at certain points by IT or bioinformaticians. Starting with advances in sequencing, the automation of analytical methods in all life science fields, including in plant phenotyping, has led to ever-increasing amounts of ever more complex data. The tasks associated with these challenges now often exceed the expertise of and infrastructure available to scientists, leading to an increased risk of data loss over time. The IPK Gatersleben has one of the world's largest germplasm collections and two decades of experience in crop plant research data management. In this article we show how challenges in modern, data-driven research can be addressed by data stewards. Based on concrete use cases, data management processes and best practices from plant phenotyping, we describe which expertise and skills are required and how data stewards as an integral actor can enhance the quality of a necessary digital transformation in progressive research.

Concerns over the complexity and costs of drug development have led some to consider whether practices of open science should be extended to pharmaceuticals, a space known for entrenched intellectual property regimes. In this article, I trace the emergence of collective action to apply open science to the research and making of drugs, an area I call open pharma. Drawing on in-depth interviews with open pharma leaders and document analysis of journal articles, organizational policies, and websites, I show that open pharma resembles other scientific/intellectual movements in developing new research practices and transmitting new ideas for sharing data. At the same time, the sociotechnical space of pharmaceuticals is deeply entwined in capitalist political economic structures (legal, regulatory, and financial markets) that shape how actors frame and organize their work. I identify key narratives that actors use to frame the movement and mobilize others, often drawing on market logics. I illustrate the active building and institutionalizing of open pharma infrastructure through the establishment of organizations and open science policies. And I describe structural barriers to open pharma in universities with publishing and commercialization imperatives-which are frequently translated into patent imperatives. 'Open' is often defined and operationalized in particular ways, prioritizing public data sharing of early research (which may later be privatized) over such interventions as public clinical trials and commercialization, raising the question of where, when, and for whom open pharma is beneficial.

Purpose/Thesis: The aim of this paper is to discuss the mutual relationship between open science and theory and practice in RIM (Research Information Management), especially apparent in CRISs (Current Research Information Systems), with an emphasis on the context of research assessment requirements, open science policies and CRIS interoperability.Approach/Methods: The study has been based on the critical review of the newest literature (2015–2019) presenting international studies of chosen aspects. Institution-centric and researcher-centric approaches has been presented.Results and conclusions: The emerging new ecosystem of open science changes the way research is done and modifies the monitoring and evaluating of it. CRIS must take into account the new trans­formation processes and research evaluation measures. This allows more transparency and more interaction with the individual researcher, as well as with the institutional, national and international stakeholders. Full interoperability and open standards are desired to improve the discoverability and reusability of research outputs and metadata for different purposes.Originality/Value: The study shows the significance of new tendencies in RIM/CRIS for researchers and research-performing organizations at institutional, national and international level.

ABSTRACTHow can the library contribute to developing research data services by focusing on training? This poster presents experiences and best practices with organizing research data management (RDM) training through the University of Oslo Library. The work is based on recommendations from the report “The Data Explosion –A Great Challenge and a Big Opportunity” that mapped existing data practices at the University of Oslo (UiO) (Working group storing and sharing of research data UiO, 2015). Based on these recommendations, a division of labor among the research support services at the university was decided upon and the university library (UL) was tasked with developing courses and training for better data practices. By establishing contact with existing initiatives, inviting in experts and holding meetings for library staff to create ownership and interest in the subject the library now has a portfolio of courses in data practices and data management that is constantly expanding.