The way science and research is done is rapidly becoming more open and collaborative. The traditional way of publishing new findings in journals is becoming increasingly outdated and no longer serves the needs of much of science.
Whilst preprints can bring significant benefits of removing delay and selection, they do not go far enough if simply implemented alongside the existing journal system. We propose that we need a new approach, an Open Science Platform, that takes the benefits of preprints but adds formal, invited, and transparent post-publication peer review.
This bypasses the problems of the current journal system and, in doing so, moves the evaluation of research and researchers away from the journal-based Impact Factor and towards a fairer system of article-based qualitative and quantitative indicators.
In the long term, it should be irrelevant where a researcher publishes their findings. What is important is that research is shared and made available without delay within a framework that encourages quality standards and requires all players in the research community to work as collaborators.
Many governments have recently begun to adopt the concept of open innovation. However, studies on the openness of government data and its effect on the global competitiveness have not received much attention.
Therefore, this study aims to investigate the effects of government data openness on a knowledge-based economy at the government level. The proposed model was analyzed using secondary data collected from three different reports.
The findings indicate that government data openness positively affects the formation of knowledge bases in a country and that the level of knowledge base of a country positively affects the global competitiveness of a country.
Nous pouvons observer que le phénomène d’Open Data prend de plus en plus d’ampleur au sein des organisations publiques et privées. Dans ce contexte une stratégie de libération des données va provoquer une extension et une plus grande perméabilité des frontières numériques des entreprises.
Ces données ouvertes vont en effet créer plus d’interactions avec les parties prenantes qui vont s’approprier et faire évoluer la structure et les fonctions de ces entreprises.
Dans une première partie, nous présenterons les grandes lignes de l’Open Data et ses conséquences sur le monde entrepreneurial. Nous illustrerons ensuite nos propos par la présentation et les premiers résultats du projet de recherche OPENRJ (Dispositif PACA Labs) qui vise à construire une fédération d’organisations qui mettent à disposition gratuitement et librement les consommations énergétiques en temps-réel de leurs bâtiments.
La question émergente en France des données de la recherche se situe dans un cadre institutionnel foisonnant mais rigide, délicat à cerner. La recherche est aussi financée et évaluée au niveau européen.
Cette organisation nationale et européenne se double d’un aspect international inhérent à la recherche et aux échanges d’informations rapides et répétés, accélérés par le développement d’Internet.
Le labyrinthe institutionnel franco-européen se superpose ainsi avec le millefeuille international et disciplinaire du monde de la recherche. Enfin, la proximité de deux mouvements qui ne sont pourtant pas synonyme, l’Open Access et l’Open Data, vient encore troubler la compréhension de ce panorama.
Il n’est donc pas aisé de comprendre les rôles de chacun des acteurs quant aux données de la recherche. C’est à une clarification de ce paysage que nous nous proposons de participer, en initiant une cartographie des initiatives et acteurs visibles en France concernant les données des sciences humaines et sociales.
Authors : Mallory C. Kidwell, Ljiljana B. Lazarević, Erica Baranski, Tom E. Hardwicke, Sarah Piechowski, Lina-Sophia Falkenberg, Curtis Kennett, Agnieszka Slowik, Carina Sonnleitner, Chelsey Hess-Holden, Timothy M. Errington, Susann Fiedler, Brian A. Nosek
Beginning January 2014, Psychological Science gave authors the opportunity to signal open data and materials if they qualified for badges that accompanied published articles. Before badges, less than 3% of Psychological Science articles reported open data.
After badges, 23% reported open data, with an accelerating trend; 39% reported open data in the first half of 2015, an increase of more than an order of magnitude from baseline. There was no change over time in the low rates of data sharing among comparison journals.
Moreover, reporting openness does not guarantee openness. When badges were earned, reportedly available data were more likely to be actually available, correct, usable, and complete than when badges were not earned.
Open materials also increased to a weaker degree, and there was more variability among comparison journals. Badges are simple, effective signals to promote open practices and improve preservation of data and materials by using independent repositories.
Auteurs/Authors : Stefan Buddenbohm, Nathanael Cretin, Elly Dijk, Bertrand Gaie, Maaike De Jong, Jean-Luc Minel, Blandine Nouvel
Publishing research data as open data is not yet common practice for researchers in the arts and humanities, and lags behind other scientific fields, such as the natural sciences. Moreover, even when humanities researchers publish their data in repositories and archives, these data are often hard to find and use by other researchers in the field.
The goal of Work Package 7 of the the HaS (Humanities at Scale) DARIAH project is to develop an open humanities data platform for the humanities. Work in task 7.1 is a joint effort of Data Archiving and Networked Services (DANS), Centre National de la Recherche Scientifique (CNRS) and the University of Göttingen – State and University Library (UGOE-SUB).
This report gives an overview of the various aspects that are connected to open access publishing of research data in the humanities. After the introduction, where we give definitions of key concepts, we describe the research data life cycle.
We present an overview of the different stakeholders involved and we look into advantages and obstacles for researchers to share research data. Furthermore, a description of the European data repositories is given, followed by certification standards of trusted digital data repositories.
The possibility of data citation is important for sharing open data and is also described in this report. We also discuss the standards and use of metadata in the humanities. Finally, we discuss best practice example of open access research data system in the humanities: the French open research data ecosystem.
With this report we provide information and guidance on open access publishing of humanities research data for researchers. The report is the result of a desk study towards the current state of open access research data and the specific challenges for humanities. It will serve as input for Task 7.2., which will deliver a design and sustainability plan for an open humanities data platform, and for Task 7.3, which will deliver this platform.
Authors : Erin C McKiernan, Philip E Bourne, C Titus Brown, Stuart Buck, Amye Kenall, Jennifer Lin, Damon McDougall, Brian A Nosek, Karthik Ram, Courtney K Soderberg, Jeffrey R Spies, Kaitlin Thaney, Andrew Updegrove, Kara H Woo, Tal Yarkoni
Open access, open data, open source and other open scholarship practices are growing in popularity and necessity. However, widespread adoption of these practices has not yet been achieved.One reason is that researchers are uncertain about how sharing their work will affect their careers.
We review literature demonstrating that open research is associated with increases in citations, media attention, potential collaborators, job opportunities and funding opportunities. These findings are evidence that open research practices bring significant benefits to researchers relative to more traditional closed practices.