Étiquette : research data

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EN

Data Management Plans in Horizon 2020: what beneficiaries think and what we can learn from their experience

Author : Daniel Spichtinger

Background

Data Management Plans (DMPs) are at the heart of many research funder requirements for data management and open data, including the EU’s Framework Programme for Research and Innovation, Horizon 2020. This article provides a summary of the findings of the DMP Use Case study, conducted as part of OpenAIRE Advance.

Methods

As part of the study we created a vetted collection of over 800 Horizon 2020 DMPs. Primarily, however, we report the results of qualitative interviews and a quantitative survey on the experience of Horizon 2020 projects with DMPs.

Results & Conclusions

We find that a significant number of projects had to develop a DMP for the first time in the context of Horizon 2020, which points to the importance of funder requirements in spreading good data management practices. In total, 82% of survey respondents found DMPs useful or partially useful, beyond them being “just” an European Commission (EC) requirement.

DMPs are most prominently developed within a project’s Management Work Package. Templates were considered important, with 40% of respondents using the EC/European Research Council template. However, some argue for a more tailor-made approach.

The most frequent source for support with DMPs were other project partners, but many beneficiaries did not receive any support at all. A number of survey respondents and interviewees therefore ask for a dedicated contact point at the EC, which could take the form of an EC Data Management Helpdesk, akin to the IP helpdesk.

If DMPs are published, they are most often made available on the project website, which, however, is often taken offline after the project ends. There is therefore a need to further raise awareness on the importance of using repositories to ensure preservation and curation of DMPs.

The study identifies IP and licensing arrangements for DMPs as promising areas for further research.

URL : Data Management Plans in Horizon 2020: what beneficiaries think and what we can learn from their experience

DOI : https://doi.org/10.12688/openreseurope.13342.1

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FR

Le partage des données vu par les chercheurs : une approche par la valeur

Auteur/Author : Violaine Rebouillat

Le propos de cet article porte sur la compréhension des logiques qui interviennent dans la définition de la valeur des données de la recherche, celles-ci pouvant avoir une influence sur les critères déterminant leur motivation au partage.

L’approche méthodologique repose sur une enquête qualitative, menée dans le cadre d’une recherche doctorale, qui a déployé 57 entretiens semi-directifs. Alors que les travaux menés autour des données sont focalisés sur les freins et motivations du partage, l’originalité de cette recherche consiste à identifier les différents prismes par lesquels la question de la valeur des données impacte la motivation et la décision de leur partage.

L’analyse des résultats montre que, tous domaines confondus, la valeur des données reste encore cristallisée autour de la publication et de la reconnaissance symbolique du travail du chercheur.

Les résultats permettent de comprendre que la question du partage est confrontée à un impensé : celui du cadre actuel de l’évaluation de la recherche, qui met l’article scientifique au cœur de son dispositif.

Ce travail contribue donc à montrer que l’avenir du partage des données dépend des systèmes alternatifs futurs d’évaluation de la recherche, associés à la science ouverte.

URL : https://lesenjeux.univ-grenoble-alpes.fr/2021/varia/03-le-partage-des-donnees-vu-par-les-chercheurs-une-approche-par-la-valeur/

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EN

Transparency, provenance and collections as data: the National Library of Scotland’s Data Foundry

Author : Sarah Ames

‘Collections as data’ has become a core activity for libraries in recent years: it is important that we make collections available in machine-readable formats to enable and encourage computational research. However, while this is a necessary output, discussion around the processes and workflows required to turn collections into data, and to make collections data available openly, are just as valuable.

With libraries increasingly becoming producers of their own collections – presenting data from digitisation and digital production tools as part of datasets, for example – and making collections available at scale through mass-digitisation programmes, the trustworthiness of our processes comes into question.

In a world of big data, often of unclear origins, how can libraries be transparent about the ways in which collections are turned into data, how do we ensure that biases in our collections are recognised and not amplified, and how do we make these datasets available openly for reuse?

This paper presents a case study of work underway at the National Library of Scotland to present collections as data in an open and transparent way – from establishing a new Digital Scholarship Service, to workflows and online presentation of datasets.

It considers the changes to existing processes needed to produce the Data Foundry, the National Library of Scotland’s open data delivery platform, and explores the practical challenges of presenting collections as data online in an open, transparent and coherent manner.

URL : Transparency, provenance and collections as data: the National Library of Scotland’s Data Foundry

Original location : https://www.liberquarterly.eu/article/10.18352/lq.10371/

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EN

Digital Object Identifier (DOI) Under the Context of Research Data Librarianship

Author : Jia Liu

A digital object identifier (DOI) is an increasingly prominent persistent identifier in finding and accessing scholarly information. This paper intends to present an overview of global development and approaches in the field of DOI and DOI services with a slight geographical focus on Germany.

At first, the initiation and components of the DOI system and the structure of a DOI name are explored. Next, the fundamental and specific characteristics of DOIs are described and DOIs for three (3) kinds of typical intellectual entities in the scholar communication are dealt with; then, a general DOI service pyramid is sketched with brief descriptions of functions of institutions at different levels.

After that, approaches of the research data librarianship community in the field of RDM, especially DOI services, are elaborated. As examples, the DOI services provided in German research libraries as well as best practices of DOI services in a German library are introduced; and finally, the current practices and some issues dealing with DOIs are summarized. It is foreseeable that DOI, which is crucial to FAIR research data, will gain extensive recognition in the scientific world.

URL : Digital Object Identifier (DOI) Under the Context of Research Data Librarianship

DOI : https://doi.org/10.7191/jeslib.2021.1180

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EN

Affiliation Information in DataCite Dataset Metadata: a Flemish Case Study

Author/Auteur : Niek Van Wettere

This article aims to evaluate how and to what extent metadata of datasets indexed in DataCite offer clear human- or machine-readable information that enables the research data to be linked to a particular research institution.

Two main pathways are explored. First, researchers can encode their affiliation information at the moment of data submission. This can be done by means of free-text metadata fields or via the inclusion of identifiers such as GRID/ROR and ORCID. Second, affiliation information can be traced indirectly through linking between a dataset and associated publications, given that the metadata of publications is often more explicit about affiliation information than the metadata of datasets.

Both pathways of affiliation information encoding are evaluated on the basis of metadata pertaining to datasets created at the five Flemish universities. It is shown that good practices such as encoding of affiliation information in a dedicated metadata field or inclusion of ORCID in the metadata are on the rise, but could be expanded further.

Finally, the establishment of links between datasets and related publications is often lacking in dataset metadata, although there are important differences between data repositories, as is also demonstrated in a more data-intensive follow-up analysis based on random samples of metadata records.

It is important that data repositories address this issue by providing a metadata field clearly dedicated to associated publications, prominently displayed on the landing page of the dataset.

URL : Affiliation Information in DataCite Dataset Metadata: a Flemish Case Study

DOI : http://doi.org/10.5334/dsj-2021-013

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EN

Open Research Data and Open Peer Review: Perceptions of a Medical and Health Sciences Community in Greece

Authors : Eirini Delikoura, Dimitrios Kouis

Recently significant initiatives have been launched for the dissemination of Open Access as part of the Open Science movement. Nevertheless, two other major pillars of Open Science such as Open Research Data (ORD) and Open Peer Review (OPR) are still in an early stage of development among the communities of researchers and stakeholders.

The present study sought to unveil the perceptions of a medical and health sciences community about these issues. Through the investigation of researchers‘ attitudes, valuable conclusions can be drawn, especially in the field of medicine and health sciences, where an explosive growth of scientific publishing exists.

A quantitative survey was conducted based on a structured questionnaire, with 179 valid responses. The participants in the survey agreed with the Open Peer Review principles. However, they ignored basic terms like FAIR (Findable, Accessible, Interoperable, and Reusable) and appeared incentivized to permit the exploitation of their data.

Regarding Open Peer Review (OPR), participants expressed their agreement, implying their support for a trustworthy evaluation system.

Conclusively, researchers need to receive proper training for both Open Research Data principles and Open Peer Review processes which combined with a reformed evaluation system will enable them to take full advantage of the opportunities that arise from the new scholarly publishing and communication landscape.

URL : Open Research Data and Open Peer Review: Perceptions of a Medical and Health Sciences Community in Greece

DOI : https://doi.org/10.3390/publications9020014

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EN

Adaptable Methods for Training in Research Data Management

Authors: Katarzyna Biernacka, Kerstin Helbig, Petra Buchholz

The management of research data has become an essential aspect of good scientific practice. Education in research data management is, however, scarce. The low number of trainers can be attributed on the one hand to a lack of educational paths. On the other hand, qualification opportunities for academics who have already completed their studies and are in employment are missing.

Within the research project FDMentor a Train-the-Trainer programme was therefore developed to teach potential multipliers of research data management, and at the same time impart basic didactic knowledge.

The resulting concept was created, in addition to freely re-usable materials, to support researchers and research support staff in passing on this knowledge. In addition, the generic development and free licensing of the concept enables transferability to other thematic contexts, such as Open Access or Open Science.

URL : Adaptable Methods for Training in Research Data Management

DOI : http://doi.org/10.5334/dsj-2021-014