Archives des mots-clés : scientific data

Improving Opportunities for New Value of Open Data: Assessing and Certifying Research Data Repositories

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Author : Robert R. Downs

Investments in research that produce scientific and scholarly data can be leveraged by enabling the resulting research data products and services to be used by broader communities and for new purposes, extending reuse beyond the initial users and purposes for which the data were originally collected.

Submitting research data to a data repository offers opportunities for the data to be used in the future, providing ways for new benefits to be realized from data reuse. Improvements to data repositories that facilitate new uses of data increase the potential for data reuse and for gains in the value of open data products and services that are associated with such reuse.

Assessing and certifying the capabilities and services offered by data repositories provides opportunities for improving the repositories and for realizing the value to be attained from new uses of data.

The evolution of data repository certification instruments is described and discussed in terms of the implications for the curation and continuing use of research data.

URL : Improving Opportunities for New Value of Open Data: Assessing and Certifying Research Data Repositories

DOI : http://doi.org/10.5334/dsj-2021-001

Les enjeux de l’interopérabilité dans la diffusion et la valorisation des données archéologiques

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Auteur/Author : Pauline Vignaud

Discipline historique et scientifique, l’archéologie a vu ses pratiques évoluées depuis l’arrivée du numérique. Dès lors, plusieurs problématiques se sont imposées aux archéologues notamment dans leur manière de diffuser et de valoriser leurs données.

Dans ce contexte-là, des questions autour de l’interopérabilité ont émergé notamment les outils à développer (plateformes, applications, projets) et à mettre en place pour permettre le partage et la mise en valeur des données archéologiques.

Ce mémoire propose d’explorer toutes les thématiques (jeux de données, réutilisation…) où l’interopérabilité intervient dans cet environnement scientifique comme un facteur favorisant – ou problématique dans la diffusion et la valorisation.

URL : Les enjeux de l’interopérabilité dans la diffusion et la valorisation des données archéologiques

Alternative location : https://www.enssib.fr/bibliotheque-numerique/notices/68376-les-enjeux-de-l-interoperabilite-dans-la-diffusion-et-la-valorisation-des-donnees-archeologiques

Evaluation of a novel cloud-based software platform for structured experiment design and linked data analytics

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Authors : Hannes Juergens, Matthijs Niemeijer, Laura D. Jennings-Antipov, Robert Mans, Jack More, Antonius J. A. van Maris, Jack T. Pronk, Timothy S. Gardner

Open data in science requires precise definition of experimental procedures used in data generation, but traditional practices for sharing protocols and data cannot provide the required data contextualization.

Here, we explore implementation, in an academic research setting, of a novel cloud-based software system designed to address this challenge. The software supports systematic definition of experimental procedures as visual processes, acquisition and analysis of primary data, and linking of data and procedures in machine-computable form.

The software was tested on a set of quantitative microbial-physiology experiments. Though time-intensive, definition of experimental procedures in the software enabled much more precise, unambiguous definitions of experiments than conventional protocols.

Once defined, processes were easily reusable and composable into more complex experimental flows. Automatic coupling of process definitions to experimental data enables immediate identification of correlations between procedural details, intended and unintended experimental perturbations, and experimental outcomes.

Software-based experiment descriptions could ultimately replace terse and ambiguous ‘Materials and Methods’ sections in scientific journals, thus promoting reproducibility and reusability of published studies.

URL : Evaluation of a novel cloud-based software platform for structured experiment design and linked data analytics

DOI : https://doi.org/10.1038/sdata.2018.195

A Conceptual Enterprise Framework for Managing Scientific Data Stewardship

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Authors : Ge Peng, Jeffrey L. Privette, Curt Tilmes, Sky Bristol, Tom Maycock, John J. Bates, Scott Hausman, Otis Brown, Edward J. Kearns

Scientific data stewardship is an important part of long-term preservation and the use/reuse of digital research data. It is critical for ensuring trustworthiness of data, products, and services, which is important for decision-making.

Recent U.S. federal government directives and scientific organization guidelines have levied specific requirements, increasing the need for a more formal approach to ensuring that stewardship activities support compliance verification and reporting.

However, many science data centers lack an integrated, systematic, and holistic framework to support such efforts. The current business- and process-oriented stewardship frameworks are too costly and lengthy for most data centers to implement.

They often do not explicitly address the federal stewardship requirements and/or the uniqueness of geospatial data. This work proposes a data-centric conceptual enterprise framework for managing stewardship activities, based on the philosophy behind the Plan-Do-Check-Act (PDCA) cycle, a proven industrial concept.

This framework, which includes the application of maturity assessment models, allows for quantitative evaluation of how organizations manage their stewardship activities and supports informed decision-making for continual improvement towards full compliance with federal, agency, and user requirements.

URL : A Conceptual Enterprise Framework for Managing Scientific Data Stewardship

DOI : http://doi.org/10.5334/dsj-2018-015

A Research Graph dataset for connecting research data repositories using RD-Switchboard

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Authors : Amir Aryani, Marta Poblet, Kathryn Unsworth, Jingbo Wang, Ben Evans, Anusuriya Devaraju, Brigitte Hausstein, Claus-Peter Klas, Benjamin Zapilko, Samuele Kaplun

This paper describes the open access graph dataset that shows the connections between Dryad, CERN, ANDS and other international data repositories to publications and grants across multiple research data infrastructures.

The graph dataset was created using the Research Graph data model and the Research Data Switchboard (RD-Switchboard), a collaborative project by the Research Data Alliance DDRI Working Group (DDRI WG) with the aim to discover and connect the related research datasets based on publication co-authorship or jointly funded grants.

The graph dataset allows researchers to trace and follow the paths to understanding a body of work. By mapping the links between research datasets and related resources, the graph dataset improves both their discovery and visibility, while avoiding duplicate efforts in data creation.

Ultimately, the linked datasets may spur novel ideas, facilitate reproducibility and re-use in new applications, stimulate combinatorial creativity, and foster collaborations across institutions.

URL : A Research Graph dataset for connecting research data repositories using RD-Switchboard

Alternative location : https://www.nature.com/articles/sdata201899

Data sharing in PLOS ONE: An analysis of Data Availability Statements

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Authors : Lisa M. Federer, Christopher W. Belter, Douglas J. Joubert, Alicia Livinski, Ya-Ling Lu, Lissa N. Snyders, Holly Thompson

A number of publishers and funders, including PLOS, have recently adopted policies requiring researchers to share the data underlying their results and publications. Such policies help increase the reproducibility of the published literature, as well as make a larger body of data available for reuse and re-analysis.

In this study, we evaluate the extent to which authors have complied with this policy by analyzing Data Availability Statements from 47,593 papers published in PLOS ONE between March 2014 (when the policy went into effect) and May 2016.

Our analysis shows that compliance with the policy has increased, with a significant decline over time in papers that did not include a Data Availability Statement. However, only about 20% of statements indicate that data are deposited in a repository, which the PLOS policy states is the preferred method.

More commonly, authors state that their data are in the paper itself or in the supplemental information, though it is unclear whether these data meet the level of sharing required in the PLOS policy.

These findings suggest that additional review of Data Availability Statements or more stringent policies may be needed to increase data sharing.

URL : Data sharing in PLOS ONE: An analysis of Data Availability Statements

DOI : https://doi.org/10.1371/journal.pone.0194768

The State of Assessing Data Stewardship Maturity – An Overview

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Author : Ge Peng

Data stewardship encompasses all activities that preserve and improve the information content, accessibility, and usability of data and metadata. Recent regulations, mandates, policies, and guidelines set forth by the U.S. government, federal other, and funding agencies, scientific societies and scholarly publishers, have levied stewardship requirements on digital scientific data.

This elevated level of requirements has increased the need for a formal approach to stewardship activities that supports compliance verification and reporting. Meeting or verifying compliance with stewardship requirements requires assessing the current state, identifying gaps, and, if necessary, defining a roadmap for improvement.

This, however, touches on standards and best practices in multiple knowledge domains. Therefore, data stewardship practitioners, especially these at data repositories or data service centers or associated with data stewardship programs, can benefit from knowledge of existing maturity assessment models.

This article provides an overview of the current state of assessing stewardship maturity for federally funded digital scientific data. A brief description of existing maturity assessment models and related application(s) is provided.

This helps stewardship practitioners to readily obtain basic information about these models. It allows them to evaluate each model’s suitability for their unique verification and improvement needs.

URL : The State of Assessing Data Stewardship Maturity – An Overview

DOI : http://doi.org/10.5334/dsj-2018-007