Étiquette : research data policies

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EN

Do data management policies become more open over time?

Author : Beth Montague-Hellen

Research data management (RDM) policies are ubiquitous in UK Higher Education Institutions, and are often written and managed by, or with, the library team. RDM policies attempt to balance the requirements of keeping data safe and secure when necessary and opening up data to allow reuse and to support research integrity.

This article uses a framework analysis approach on 134 policies to investigate whether the UK RDM policies have become more open over time in terms of policy points and language. The investigation shows that recent policies have shown an increased likelihood of being more open in several areas: how long data should be archived for, sharing of software, and the mandatory inclusion of data availability statements in journal articles.

Language around FAIR data terms have increased, as has using research integrity as a key reason to manage data according to best practices.

URL : Do data management policies become more open over time?

DOI : https://doi.org/10.53377/lq.23144

 

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EN

Data Management Plans: a Resource to Shape Institutional Data Management Services

Authors : Willeke de Haan, Veerle Van den Eynden

At KU Leuven, a university in the Flemish region of Belgium, data management plans have become an important resource to drive and shape the development of data management support, services, and training. With 8,000 researchers and 7,000 PhD students in fundamental and applied research across a comprehensive range of disciplines, KU Leuven is the largest university in Belgium.

Public research funding is provided by the federal and regional governments, mainly via the Research Foundation Flanders (FWO) and via research funding allocated to universities based on excellence criteria through the Special Research Fund (BOF) and the Industrial Research Fund (IOF).

Since 2018, FWO and BOF-IOF incorporated data management into their policies, requiring researchers to submit Data Management Plans (DMPs) to their institutional research office. Since then, the number of DMPs that are developed each year has increased exponentially, from 150 in 2018 to nearly 700 per year now.

The Research Coordination Office at KU Leuven decided to review all DMPs to provide feedback to ensure high-quality plans. To manage the submission, monitoring, review, and preservation of this volume of DMPs efficiently, an online platform was developed that is integrated with the university’s research information systems.

Initially, the focus of the DMP review was on supporting the development of DMPs, as this was a new concept for researchers. The review process has significantly improved the quality of DMPs. Later, support shifted to provide advice on best practices in data management. Reviews of over 2600 DMPs provide a rich source of information to develop services and training.

Based on findings from DMP reviews, the IT department developed an interactive storage guide; ethical and legal compliance in research projects can be monitored; new data management training modules are developed; and a collection of example DMPs has been developed. In addition, the growing DMP collection is a rich source of information on researchers’ data practices, providing the baseline information to develop further services. Future plans include implementing artificial intelligence in DMP reviews to automate problem detection and exploring machine-actionable DMPs for an institutional data register.

URL : Data Management Plans: a Resource to Shape Institutional Data Management Services

DOI : https://doi.org/10.2218/ijdc.v19.i1.1051

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EN

Long-term availability of data associated with articles in PLOS ONE

Author : Lisa M. Federer

The adoption of journal policies requiring authors to include a Data Availability Statement has helped to increase the availability of research data associated with research articles. However, having a Data Availability Statement is not a guarantee that readers will be able to locate the data; even if provided with an identifier like a uniform resource locator (URL) or a digital object identifier (DOI), the data may become unavailable due to link rot and content drift. :

To explore the long-term availability of resources including data, code, and other digital research objects associated with papers, this study extracted 8,503 URLs and DOIs from a corpus of nearly 50,000 Data Availability Statements from papers published in PLOS ONE between 2014 and 2016.

These URLs and DOIs were used to attempt to retrieve the data through both automated and manual means. Overall, 80% of the resources could be retrieved automatically, compared to much lower retrieval rates of 10–40% found in previous papers that relied on contacting authors to locate data.

Because a URL or DOI might be valid but still not point to the resource, a subset of 350 URLs and 350 DOIs were manually tested, with 78% and 98% of resources, respectively, successfully retrieved.

Having a DOI and being shared in a repository were both positively associated with availability. Although resources associated with older papers were slightly less likely to be available, this difference was not statistically significant, suggesting that URLs and DOIs may be an effective means for accessing data over time.

These findings point to the value of including URLs and DOIs in Data Availability Statements to ensure access to data on a long-term basis.

URL : Long-term availability of data associated with articles in PLOS ONE

DOI : https://doi.org/10.1371/journal.pone.0272845

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EN

RDM in a Decentralised University Ecosystem—A Case Study of the University of Cologne

Authors : Constanze Curdt, Jens Dierkes, Sonja Kloppenburg

The University of Cologne (UoC) has historically grown in highly decentralised structures. This is reflected by a two-layered library structure as well as by a number of decentralised research data management (RDM) activities established on the faculty and research consortium level.

With the aim to foster networking, cooperation, and synergies between existing activities, a university-wide RDM will be established. A one-year feasibility study was commissioned by the Rectorate in 2016 and carried out by the department research management, library and computing centre.

One study outcome was the adoption of a university-wide research data guideline. Based on a comprehensive RDM service portfolio, measures were developed to put a central RDM into practice.

The challenges have been to find the right level of integration and adaptation of existing and established decentralised structures and to develop additional new structures and services.

We will report on first steps to map out central RDM practices at the UoC and to develop a structure of cooperation between loosely coupled information infrastructure actors. Central elements of this structure are a competence center, an RDM expert network, a forum for exchange about RDM and associated topics as well as the faculties with their decentralized, domain-specific RDM services.

The Cologne Competence Center for Research Data Management (C3RDM) was founded at the end of 2018 and is still in its development phase. It provides a one-stop entry point for all questions regarding RDM. T

he center itself provides basic and generic RDM services, such as training, consulting, and data publication support, and acts as a hub to the decentral experts, information infrastructure actors, and resources.

URL : RDM in a Decentralised University Ecosystem—A Case Study of the University of Cologne

DOI : http://doi.org/10.5334/dsj-2022-020

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EN

To protect and to serve: developing a road map for research data management services

Authors: Andrea Chiarelli, Neil Beagrie, Lotte Boon, Ruth Mallalieu, Rob Johnson, Amy Warner May, Rowan Wilso

Research Data Management (RDM) has become a major issue for universities over the last decade. This case study outlines the review of RDM services carried out at the University of Oxford in partnership with external consultants between November 2019 and November 2020.

It aims to describe and discuss the processes in undertaking a university-wide review of services supporting RDM and developing a future road map for them, with a strong emphasis on the design processes, methodological approaches and infographics used. The future road map developed is a live document, which the consulting team handed over to the University at the end of the consultation process.

It provides a suggested RDM action plan for the University that will continue to evolve and be iterated in the light of additional internal costings, available resources and reprioritization in the budget cycle for each academic year.

It is hoped that the contents of this case study will be useful to other research-intensive universities with an interest in developing and planning RDM services to support their researchers.

URL : To protect and to serve: developing a road map for research data management services

DOI : http://doi.org/10.1629/uksg.566

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EN

Bringing All the Stakeholders to the Table: A Collaborative Approach to Data Sharing

Authors : Megan N. O’Donnell, Curtis Brundy

Objective

This paper examines a unique data set disclosure process at a medium sized, land grant, research university and the campus collaboration that led to its creation.

Methods

The authors utilized a single case study methodology, reviewing relevant documents and workflows. As first-hand participants in the collaboration and disclosure process development, their own accounts and experiences also were utilized.

Results

A collaborative approach to enhancing research data sharing is essential, considering the wide array of stakeholders involved across the life cycle of research data. A transparent, inclusive data set disclosure process is a viable route to ensuring research data can be appropriately shared.

Conclusions

Successful sharing of research data impacts a range of university units and individuals. The establishment of productive working relationships and trust between these stakeholders is critical to expanding the sharing of research data and to establishing shared workflows.

URL : Bringing All the Stakeholders to the Table: A Collaborative Approach to Data Sharing

DOI : https://doi.org/10.7191/jeslib.2022.1224

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FR

La gestion des données de la recherche agronomique : de la science ouverte à l’histoire des sciences

Auteur/Author : Guillaume Tuloup

L’Institut national de recherche pour l’agriculture, l’alimentation et l’environnement (INRAE) est engagé depuis plusieurs années dans le développement de la science ouverte.

Se positionnant aujourd’hui en fer de lance des mouvements d’ouverture, il œuvre à la rationalisation de la production, de la préservation et de la diffusion des données de la recherche afin de faire des sciences agronomiques des sciences impliquées, dans la société.

En effet, confrontée aux problématiques environnementales, sanitaires et alimentaires, la recherche agronomique est engagée dans une restructuration de la production des savoirs sur la nature et le vivant, à l’appui du numérique qui se fait environnement totalisant.

L’Institut étant particulièrement sensibilisé aux enjeux mémoriels et historiques, l’histoire des sciences peut restituer les conditions historiques de cette restructuration, en mobilisant elle-même les ressorts du numérique et de la science ouverte.

URL : La gestion des données de la recherche agronomique : de la science ouverte à l’histoire des sciences

Original location : https://www.enssib.fr/bibliotheque-numerique/notices/70173-la-gestion-des-donnees-de-la-recherche-agronomique-de-la-science-ouverte-a-l-histoire-des-sciences