ESCAPE DIOS: Development and application of an automatic workflow for the replication of scientific data

« The Major Atmospheric Gamma Imaging Cherenkov (MAGIC) Telescopes (from the Cherenkov Telescope Array  – CTA – one of the ESFRIs … Continuer la lecture de « ESCAPE DIOS: Development and application of an automatic workflow for the replication of scientific data »

Source > projectescape.eu, 26 octobre 2020

Data Repository Selection: Criteria That Matter

« Representatives from journals, journal publishers and scholarly communication organisations have come together in the FAIRsharing Community to propose a set … Continuer la lecture de « Data Repository Selection: Criteria That Matter »

Source > zenodo.org, Sansone, Susanna-Assunta, McQuilton, Peter, Cousijn, Helena, Cannon, Matthew, Chan, Wei Mun, Callaghan, Sarah, … Threlfall, Jonathan. (2020, October 13). Data Repository Selection: Criteria That Matter. Zenodo. http://doi.org/10.5281/zenodo.4084763

EOSC-Nordic Certification support seminar on FAIR data

« The group within EOSC-Nordic focusing on FAIR data arranged a plenary webinar on certification support early September for a selected … Continuer la lecture de « EOSC-Nordic Certification support seminar on FAIR data »

Source > eosc-nordic.eu, Josefine Nordling, Henrik Jakobsen, 30 septembre 2020

How to make open science work

« Viewpoint: The success of open science depends on protecting academic data from commercial exploitation As open science gains momentum, universities … Continuer la lecture de « How to make open science work »

Source > sciencebusiness.net, Frans Oort, 28 juillet 2020

Guidance document on data management, open data and production of Data Management Plans

« This document has been developed in the context of the BiodivScen joint call on Biodiversity Scenarios, as a follow-up on … Continuer la lecture de « Guidance document on data management, open data and production of Data Management Plans »

Source > cordis.europa.eu, BiodivERsA and Belmont Forum, 19 juillet 2020

How to FAIR: A deep dive into FAIR data

« This website will take you on a deep dive into the subject matter of FAIR research data. Over the course … Continuer la lecture de « How to FAIR: A deep dive into FAIR data »

Source > howtofair.dk, 2020

When are researchers willing to share their data? – Impacts of values and uncertainty on open data in academia

« (…) In this study, we emphasized the non-technical factors perceived value and uncertainty factors in the context of academia, which … Continuer la lecture de « When are researchers willing to share their data? – Impacts of values and uncertainty on open data in academia »

Source > journals.plos.org, Stieglitz S, Wilms K, Mirbabaie M, Hofeditz L, Brenger B, López A, et al. (2020) When are researchers willing to share their data? – Impacts of values and uncertainty on open data in academia. PLoS ONE 15(7): e0234172. https://doi.org/10.1371/journal.pone.0234172

Save the date: September 24, Open day on Open Science 2020: Drop your data FAIR

« September 24th, DANS organizes an Open day on Open Science together with Promovendi Netwerk Nederland, Horizon2020 project OpenAIRE and Open … Continuer la lecture de « Save the date: September 24, Open day on Open Science 2020: Drop your data FAIR »

Source > dans.knaw.nl, juin 2020

DFG, German Research Foundation: National Research Data Infrastructure – 2020 Call for Consortia Proposals (Round Two)

« The German federal and state governments reached an agreement in November 2018 to establish a national research data infrastructure (NFDI). … Continuer la lecture de « DFG, German Research Foundation: National Research Data Infrastructure – 2020 Call for Consortia Proposals (Round Two) »

Source > dfg.de, Information for Researchers No. 29 | 25 May 2020

LIBER Webinar: Research Data – What To Keep?

« What to keep in terms of research data has been a recognised issue for some time but research data management … Continuer la lecture de « LIBER Webinar: Research Data – What To Keep? »

Source > zenodo.org, Beagrie, Neil, 2 mars 2020, DOI 10.5281/zenodo.3693691

Patterns for searching data on the web across different research communities

« Being a concept quite familiar in the domain of information retrieval, data search in a web based environment has recently … Continuer la lecture de « Patterns for searching data on the web across different research communities »

Source > liberquarterly.eu, Borst, T. and Limani, F., 2020, LIBER Quarterly, 30(1), pp.1–21. DOI: http://doi.org/10.18352/lq.10317

EOSC. ESFRI Cluster Projects. RDA: Connecting commonalities and collaborative solutions for community research data services

« On 21 October, during the Research Data Alliance Plenary Meeting in Helsinki, SSHOC invited representatives from EOSC, the European Strategy … Continuer la lecture de « EOSC. ESFRI Cluster Projects. RDA: Connecting commonalities and collaborative solutions for community research data services »

Source > zenodo.org, Ron Dekker, Daan Broeder, Franciska de Jong, Vasso Kalaitzi, Marieke Willems, Tracey Biller, … Ornela di Giacomo. (2019, December 17). EOSC. ESFRI Cluster Projects. RDA: Connecting commonalities and collaborative solutions for community research data services. Zenodo. http://doi.org/10.5281/zenodo.3581075

Challenges and Opportunities for Scientific Research Data Management and Sharing Services in Chinese Library Community (.pdf)

« Based on the three models of research data publishing, this paper presents an investigation and analysis of Chinese research data … Continuer la lecture de « Challenges and Opportunities for Scientific Research Data Management and Sharing Services in Chinese Library Community (.pdf) »

Source > repozitar.techlib.cz, Huifang Xu, 16th IFLA ILDS Conference 2019: Beyond the Paywall: Resource Sharing in a Disruptive Ecosystem, Prague, October 9-11, 2019

The Time Efficiency Gain in Sharing and Reuse of Research Data

« Among the frequently stated benefits of sharing research data are time efficiency or increased productivity. The assumption is that reuse … Continuer la lecture de « The Time Efficiency Gain in Sharing and Reuse of Research Data »

Source > datascience.codata.org, Pronk, T.E Data Science Journal, 18(1), p.10. 2019, DOI: http://doi.org/10.5334/dsj-2019-010

Release of the PARTHENOS GUIDELINES

« For the past couple of months, a team of PARTHENOS project members has been working in close collaboration on the … Continuer la lecture de « Release of the PARTHENOS GUIDELINES »

Source > parthenos-project.eu, 14 février 2019

Delivering Research Data Management Solutions to suit your needs

« Following two grants from the European Commission that have enabled to lay out the foundations for the EUDAT Collaborative Data … Continuer la lecture de « Delivering Research Data Management Solutions to suit your needs »

Source > eudat.eu/news, 4 février 2019

Methods to Evaluate Lifecycle Models for Research Data Management

« Lifecycle models for research data are often abstract and simple. This comes at the danger of oversimplifying the complex concepts … Continuer la lecture de « Methods to Evaluate Lifecycle Models for Research Data Management »

Source > arxiv.org, Tobias Weber, Dieter Kranzlmüller, 1 février 2019, arXiv:1901.11267

Top 10 FAIR Data & Software Things

« The Top 10 FAIR Data & Software Global Sprint was held online over the course of two-days (29-30 November 2018), … Continuer la lecture de « Top 10 FAIR Data & Software Things »

Source > zenodo.org, Christopher Erdmann, Natasha Simons, Reid Otsuji, Stephanie Labou, Ryan Johnson, Guilherme Castelao, … Tim Dennis. (2019, February, http://doi.org/10.5281/zenodo.2555498

Turning FAIR into Reality: Final outcomes from the European Commission FAIR Data Expert Group [diaporama]

« A multi-speaker presentation given by the European Commission FAIR Data Expert Group at ScieDataCon as part of International Data Week … Continuer la lecture de « Turning FAIR into Reality: Final outcomes from the European Commission FAIR Data Expert Group [diaporama] »

Source > slideshare.net, Simon Hodson, Natalie Harrower, Francoise Genova, Daniel Mietchen, Sarah Jones, novembre 2018

A Conceptual Enterprise Framework for Managing Scientific Data Stewardship

« Scientific data stewardship is an important part of long-term preservation and the use/reuse of digital research data. It is critical … Continuer la lecture de « A Conceptual Enterprise Framework for Managing Scientific Data Stewardship »

Source > datascience.codata.org, Peng, G. et al., (2018), Data Science Journal. 17, p.15. DOI: http://doi.org/10.5334/dsj-2018-015

OCLC: The Realities of Research Data Management – Part Two: Scoping the University RDM Service Bundle

« The Realities of Research Data Management is a four-part series that explores how research universities are addressing the challenge of … Continuer la lecture de « OCLC: The Realities of Research Data Management – Part Two: Scoping the University RDM Service Bundle »

Source > oclc.org, Rebecca Bryant, Brian Lavoie, Constance Malpas, septembre 2017

Inventory of Research Data Management Services in France

« Data has become more and more ubiquitous in the research context. As a result, a growing number of services are … Continuer la lecture de « Inventory of Research Data Management Services in France »

Source > ebooks.iospress.nl, Violaine Rebouillat, 2017, DOI 10.3233/978-1-61499-769-6-174

OCLC: The realities of Research Data Management

« The Realities of Research Data Management is a four-part series that explores how research universities are addressing the challenge of … Continuer la lecture de « OCLC: The realities of Research Data Management »

Source > oclc.org, Bryant, Rebecca, Brian Lavoie, Constance Malpas. 2017

LIBER: Webinar video: Are the FAIR data guidelines really fair?

« The FAIR Data Principles are a hot topic in research data management. Their adoption within the H2020 funding programme means … Continuer la lecture de « LIBER: Webinar video: Are the FAIR data guidelines really fair? »

Source > libereurope.eu, 24 mars 2017

Research Data Services in European Academic Research Libraries

(…) This article presents the results of a survey of directors of the Association of European Research Libraries (LIBER) academic … Continuer la lecture de « Research Data Services in European Academic Research Libraries »

Source > liberquarterly.eu, Carol Tenopir, Sanna Talja, Wolfram Horstmann et al., 14 février 2017

A l’épreuve de l’hétérogénéité : données de recherche et interdisciplinarité : L’exemple du projet européen IPERION-CH

« Avec la mise en place de grandes infrastructures de recherche en sciences du patrimoine comme E-RIHS, on rassemble des acteurs … Continuer la lecture de « A l’épreuve de l’hétérogénéité : données de recherche et interdisciplinarité : L’exemple du projet européen IPERION-CH »

Source > hal.archives-ouvertes.fr, Marie Puren, 8 décembre 2016

Allemagne : Council for Scientific Information Infrastructures’ publishes recommendations on RDM structures and processes

« In June, the German Council for Scientific Information Infrastructures (RfII) has published some recommendations on determinats of future research data management … Continuer la lecture de « Allemagne : Council for Scientific Information Infrastructures’ publishes recommendations on RDM structures and processes »

Source > edawax.de, Sven, 19 juillet 2016

Research Data in Current Research Information Systems

« The paper provides an overview of recent research and publications on the integration of research data in Current Research Information … Continuer la lecture de « Research Data in Current Research Information Systems »

Source > archivesic.ccsd.cnrs.fr, Joachim Schöpfel, Hélène Prost, Violaine Rebouillat, 16 juin 2016

Training for Research Data Management: Comparative European Approaches

« (…) At the end of 2015, KE initiated a project to compare approaches in RDM training within the partnership’s five … Continuer la lecture de « Training for Research Data Management: Comparative European Approaches »

Source > knowledge-exchange.info, 20 mai 2016

Identifying and Improving Dataset References in Social Sciences Full Texts

« Scientific full text papers are usually stored in separate places than their underlying research datasets. Authors typically make references to … Continuer la lecture de « Identifying and Improving Dataset References in Social Sciences Full Texts »

Source > arxiv, Behnam Ghavimi, Philipp Mayr, Sahar Vahdati, Christoph Lange, 6 mars 2016