European Dataverse Workshop 2020

“Are you looking for a repository software to run your research data repository?

Are you already using Dataverse and want to exchange experiences and learn more about Dataverse?

>> Join us at the European Dataverse Workshop 2020!

Date: January 23-24, 2020 Venue: UiT The Arctic University of Norway

Dataverse is an open source web application to share, preserve, cite, explore, and analyze research data.

For more information about the European Dataverse Workshop 2020, see the workshop webpage.


Save the date!”

Open Science – Symposia – Beilstein-Institut zur Förderung der Chemischen Wissenschaften

“This symposium addresses the interfaces between the laboratory and the new infrastructures currently being set up. Open Science aims to make research and development more effective by better supporting collaboration. The advantages of making data open will be critically reviewed and the development of highly interconnected, collaborative research in data driven laboratories of the future will be discussed. Adoption of the FAIR data principles is an important step to support this.

In chemistry, biochemistry and neighbouring areas, funding agencies and national and supranational bodies are strongly advocating the sharing and depositing of data. To make this work the incentive structures for academics need to be realigned, investment in infrastructure and new technologies increased, and the awareness of the advantages of making data available for AI and similar technologies heightened….”

An Analysis of Open Science Policies in Europe v4 | Zenodo

“This document presents an updated review of Open Data and Open Science policies in Europe as of July 2019. It does not include Open Access to publications policy. This analysis goes more into depth on the types of policy in place in Europe, their processes of creation, and some of their specifics. This updated version of the deeper analysis reflects changes that have been identified between November 2018 and July 2019. We concentrate on the twenty-eight EU member states, but we also consider relevant countries from the European Research Area, namely Iceland, Norway, Serbia and Switzerland.

This report is the the fourth version of a report which was originally published in 2017….”

An Analysis of Open Science Policies in Europe – New report from DCC and SPARC Europe | Digital Curation Centre

“SPARC Europe and the DCC have collaborated since 2017 on reviewing Open Science Policies in Europe.  Our report has to date been downloaded over 5000 times and we have had feedback from users who find this a useful resource to draw on in their work, whether for research purposes or policy making.  Today we are publishing the fourth version of the report, which demonstrates a move towards a stronger focus on open research data, and open science more generally across European science policy landscape.  We have also noted a few instances of FAIR data being mentioned in policy papers, for example in Ireland.

We welcome your input! 

We have been planning to change the structure of this paper to allow for better analysis and comparison, and we would very much like the input of the user community to guide us in these changes.  We have to this end set up a short web survey, which should only take around 5 minutes to complete.  You can access the survey here, …”

Open Science | ANR

From Google’s English: “The open science policy initiated by the ANR in 2013 is fully in line with the National Open Science Plan launched by Minister Frédérique Vidal in July 2018, with the following three objectives:

Promote open access to publications (Open Access)

As part of the ANR’s contribution to the promotion and implementation of open science, and in connection with the National Open Science Plan, the coordinator and the partners and the partners commit themselves in the event of funding to deposit scientific publications (full text) from the research project in an open archive, either directly in HAL or through a local institutional archive, under the conditions of Article 30 of the Law “For a Digital Republic ” . Moreover, the ANR recommends favoring publication in journals or books natively open access.

Contribute to open data whenever possible (Open Data)

In order to implement the principle “as open as possible, as closed as necessary” and in accordance with FAIR principles (Easy to find, Accessible, Interoperable, Reusable), the NRA encourages coordinators to consider the issue of research from the editing and throughout the project. The Agency will request the development of a data management plan for all funded projects within 6 months of the start of the project starting from the 2019 edition. This document summarizes the description and evolution of the projects. datasets, it prepares the sharing, reuse and sustainability of data….

Coordinate actions at European and international level


ANR is also involved in several transnational initiatives in which it takes the French position in favor of open science and bibliodiversity. She is a member of the coalition S which brings together several funding agencies to accelerate the transition to a full and immediate access to scientific publications and supports the S Plan . The Agency is also a member of the GO FAIR office in France….”

Implementing FAIR Data for People and Machines: Impacts and Implications – Event Summary | Online Registration by Cvent

“This special one day workshop for data and information professionals, information technologists, and for disciplinary scientists interested in effective data sharing is focused on the wave of activities related to making data “FAIR” (Findable, Accessible, Interoperable, and Reusable).

We will focus on the implementations and ultimate impacts and implications, especially as data is made FAIR for people and machines….”

The Future of FAIR, as Told by the Past – The Scholarly Kitchen

“The scholarly record is evolving to incorporate a widening range of research outputs, with stakeholders, systems, practices, and norms both adapting to and shaping this evolution. Stewardship of research data has received particular attention, evidenced by an ever-thickening network of services, resources, and consensus- or standards-building activities dedicated to making data sets accessible and reusable. One prominent initiative is FAIR: a set of principles that describe how to make data sets Findable, Accessible, Interoperable, and Reusable. It is still early days for FAIR – the principles were introduced in a 2016 article in Scientific Data. The future of FAIR is therefore very much to be determined; however, publishers, funders, researchers, and other stakeholders can draw some helpful lessons from history….

Changing data management practices is just as much about changing mindset and culture as it is about technical solutions – perhaps more. FAIR is a valuable tool for advocacy, in the sense of communicating the high-level goals of open, reusable data. FAIR is a valuable resource for education, by providing a shared framework within which new perspectives on responsible data management can be formed – even if those perspectives are not uniform, or easily operationalized. And FAIR is a valuable marker for how seriously the community is taking up the issue of open data: even if repositories declare their data FAIR without formal compliance or certification protocols, at least they are gesturing to the importance of the issue, and maybe even doing something substantive about it.

So the experience of OAIS tells us we should not place all our emphasis on formal implementation of FAIR as the final yardstick of its value to the community. FAIR can be, and I expect will be, a powerful catalyst in moving the research data community as a whole in the right direction….”