Our University Libraries wholly endorse your joint statement and will use this on our data preservation, data management and data curation practices.

Robert H. McDonald, University Libraries – University of Colorado Boulder

Research data and other scholarly outputs are fundamental elements of scientific work. It is vital that they be preserved and cited so that their contributions can be measured and reused for future scholarship. The Center for Open Science endorses this Joint Declaration on Research Data. COS is committed to advancing these shared goals through open-source infrastructure we build and maintain to manage research data, our resources to provide curriculum and training for the research community on best practices in open science, and our advocacy for policies that support these ideals.

David Mellor, COS

As a co-founder of Force 11, Elsevier played a role in developing the FAIR principles for data sharing, along with principles for data citation. For many years, we have been working to support sharing, discovery, and effective (re)use of research data, and we continue to do so via our research data policies; publishing expertise and workflows; research data management solutions, including Mendeley Data and Data Monitor; and community collaborations. We support collaborative efforts to develop and adopt best practices and policies, particularly in data citation, to ensure connections between research and its underlying data can be robustly and reliably established, and enable a holistic approach that recognizes and incentivizes research data management, given its critical roles in trust and transparency in research. Accordingly, Elsevier is delighted to lend its endorsement to this Joint Statement on Research Data and looks forward to continuing our work in this area.

Elsevier looks forward to working collaboratively with STM, Crossref and DataCite towards these 12 principles.

Katherine Eve, Elsevier

IOP Publishing recognises the incredible potential of open science and we are delighted to endorse this joint statement on research data. Our journals have adopted progressive data policies and include data availability statements in all our articles. However, more needs to be done to improve awareness, processes, infrastructure and standards around research data sharing and citation, and we look forward to making our contribution towards progress in these areas.

Daniel Keirs, IOP Publishing

DataSeer allows stakeholders to track open science practices among their researchers; we also provide detailed compliance checking to promote better data sharing.

Tim Vines, DataSeer

We already provided guidance to our authors on suitable data sharing and provide citable DOIs on datasets associated with manuscripts, so we will continue to do what we do.

Chris Hunter, GigaDB, GigaScience Press

I have developed a PhD-level course module covering these issues

Margareta Hellström, Individual

Reporting on the content to dataset connections to all of our stakeholders – publishers/institutions/funders.

Howard Ratner, CHORUS

Having maintained a functioning system for transparent, reproducible tracking of data use through data citation for eight years, our work is strictly aligned and deeply involved in increasing the recommendations.

Kyle Copas, GBIF: Global Biodiversity Information Facility

Advocacy for open data and open sciency

Anna Leonard, Individual

We are working towards all these with our journals, editors, society partners, and our contacts across the Canadian research landscape and beyond.

Elaine Stott, Canadian Science Publishing

The Make Data Count initiative is dedicated to promoting responsible open data metrics. We believe that data citations play a crucial role in recognizing data usage, providing acknowledgment for data producers, and enhancing the reliability of research outputs. In line with this, Make Data Count supports the recommendations put forth by STM, DataCite, and Crossref to encourage the widespread adoption of best practices for data citation.

Iratxe Puebla, Make Data Count Initiative

We plan to build on our existing tools and platforms, while also encouraging researchers to use them more widely. To do this, we will continue providing information and guidelines, while also educating and showcasing the benefits and advantages of FAIR data in research practices and science at large. We shall also build on the integration of those platforms in the publication workflow and policies at our journals.

Iva Boyadzhieva, Pensoft Publishers

Joining EOSC, offering our data repository..

Katerina Janderova, Czech Academy of Sciences, Library

By asking them to endorse this.

Ruth Duerr, Individual

Oxford University Press (OUP) is committed to advancing research data sharing. Data sharing increases transparency and research integrity, supports the reproducibility of research and offers enormous potential for accelerating scientific progress. OUP endorses the Joint Statement on Research Data, which is closely aligned with OUP’s research data policy for journals. We wholeheartedly support and will engage with collaborative efforts to increase sharing and citation of research data to further the robust linking of research publications to their underlying data.

Adam Leary, Oxford University Press

We’re continuously improving the FAIR-ness of data available through QDR; we’re making Make Data Count metrics available and are in the process of improving dataset/publication linkages in our metadata. We’ve just added ORCID-based login to hopefully increase adoption. As part of the JEDI group (dpjedi.org) we’re working with journal editors in the open science to adopt data policies and practices in line with the recommendations.

Sebastian Karcher, Qualitative Data Repository, Syracuse University

Clarivate supports these recommendations in creation of the Data Citation Index.

Nigel Robinson, Clarivate

Wiley is delighted to endorse the STM, DataCite, and Crossref updated joint statement on research data. We are committed to supporting researchers in making the data they produce available and findable for reuse by others via clear data sharing policies and data availability statements, and robust metadata to improve the integrity and reproducibility of published research. We continue to work closely with the societies and subject communities that we partner with in order to advance open research.

Vicky Johnson, Wiley

I would like to see more attempts to push journals to require DOIs to be used when datasets are referenced, and to get more of them to submit these references to Crossref. We know from our own analyses that there are many people following our citation guidelines, but journals aren’t relaying the information back in a way that makes it easy for us to track.

Justin Kirby, Frederick National Lab for Cancer Research

Through my work as a repository manager, data curator, and Open Science enthusiast, I will continuously promote the best-practice recommendations stated in the Joint Statement on Research Data. I will push my organization and other organizations and networks to endorse the Joint Statement on Research Data.

Philipp Conzett, UiT The Arctic University of Norway

Through my work as a repository manager, data curator, and Open Science enthusiast, I will continuously promote the best-practice recommendations stated in the Joint Statement on Research Data. I will push my organization and other organizations and networks to endorse the Joint Statement on Research Data.

Anne Ruimy, EDP Sciences

We already do this by setting up and administering Africa’s only internationally certified open research data repository at DataFirst

Lynn Woolfrey, University of Cape Town, DataFirst

We will work to incorporate these recommendations into the work we do with CODATA IDPC, CoARA ERIP, ISC, and RDA.

Francis P. Crawley, Good Clinical Practice Alliance – Europe (GCPA)

In particular ongoing encouragement via several communications channels to our researchers. We are currently working on the UKRN Open Research Programme data availability statement pilot and hope this will provide input to ongoing drive for stakeholder collaboration on standards.

Valerie McCutcheon, University of Glasgow

Karger is committed to promoting data sharing to enhance transparency and reproducibility in science, thereby fostering scientific discovery and collaboration. Since the implementation of a unique research data policy across our entire journal portfolio several years ago, we have been consistently striving to encourage and support our diverse research communities in sharing their data. It is therefore fitting for Karger to endorse the recommendations of STM, DataCite, and Crossref on best practices for data citation.

Christna Chap, Karger Publishers