ROR offers an open and community-driven solution for tracking research outputs by institutions. ROR identifiers for research organizations are not meant to exist on their own. Their potential will be fully realized with wide adoption of ROR IDs in scholarly infrastructure and metadata. Although ROR is still relatively new, ROR IDs are already being integrated and used in various ways. In a previous post, we shared the story of how Dryad relies on ROR to capture affiliation data for its 30,000 datasets and counting.
Some of the most frequent questions ROR receives are about what it means when an organization is in ROR, and how organizations end up in the registry in the first place. Many of you are understandably curious about how ROR records are added and updated. So, we thought this would be a good time to talk about how the registry is being maintained and how this process evolving. What does it mean if an organization is in ROR?
The Research Organization Registry is a cross-organizational and multi-stakeholder initiative. ROR is run by a small group of steering organizations in collaboration with a broad network of community advisors and supporters. This approach to operating ROR means that it does not fit neatly into existing notions of organizations in the scholarly communications and open infrastructure space: ROR is not an organization (fun fact: this means that ROR does not have its own ROR ID!
We’re more than halfway through 2020, and it has already been a year like no other. In the midst of global upheaval and uncertainty, work on the Research Organization Registry continues. Building and sustaining community and connections through open scholarly infrastructure seems more important than ever. Thanks to your support, engagement, and hard work, ROR has been making great progress toward our key goals for this year: building out ROR’s infrastructure, driving adoption and integration of ROR IDs, and setting ROR up for long-term sustainability.
Version 4.3 of the DataCite Metadata Schema released during August, 2019 included (among other things), the capability to provide persistent identifiers for affiliated organizations in the metadata (Dasler and deSmaele, Identify your affiliation with Metadata Schema 4.3, 2019). This capability builds on the work and enthusiasm generated by the ROR Community that has championed the concept of open organization identifiers for several years (Gould, A Reflection on ROR’s First Year, 2019).
ROR had a party in Portugal last month! Sixty friends - some new, some old - came together in Lisbon on the eve of PIDapalooza 2020 to celebrate ROR’s unofficial first birthday, marking one year since the registry debuted at a community meeting in Dublin in January 2019. This year’s gathering was a chance to review the milestones that ROR has passed in the last twelve months, highlight early implementations of ROR, and discuss the work that lies ahead for the next year and beyond with ROR’s active community.
Flashback to one year ago, December 2018: The ROR project team was putting the final pieces in place to launch the ROR MVR (minimum viable registry) in January. The ROR ID format was under discussion. A website was under construction. The purchase of the ror.org domain was being negotiated. We were getting ready to ROAR! But we weren’t sure at that time who else would be listening, and who might be ready to roar alongside us.
As we announced previously, ROR launched a fundraising campaign in October to ensure the registry’s long-term sustainability. We are grateful for the community supporters who have already contributed to this campaign. The first round of supporters was [announced a couple of weeks ago] (https://ror.org/blog/2019-11-13-ror-fundraising-update/). We are excited in this post to acknowledge the following additional contributors: American Physical Society American Psychological Association Association for Computing Machinery These new contributions supplement those previously received from:
ROR launched in January 2019 with records for nearly 100,000 research organizations, all with unique IDs and associated metadata. ROR data is useful for a variety of reasons and for a variety of users, including both humans and machines. It is essential for ROR to have robust mechanisms for searching, retrieving, and filtering. Since launching the registry, we have been making improvements to the codebase to strengthen and enhance these mechanisms.
ROR is thrilled to announce that we are welcoming new members to the ROR Steering Group. The group now consists of the following members: Matt Buys, DataCite John Chodacki, California Digital Library Daniel Hook, Digital Science Clifford Lynch, Coalition for Networked Information Ritsuko Nakajima, Japan Science and Technology Agency Ed Pentz, Crossref Judy Ruttenberg, Association of Research Libraries Ina Smith, Academy of Science of South Africa Approximately one year ago, a ROR project team formed as the outcome of the prior OrgID initiative to initiate a startup effort to develop the first iteration of the ROR registry.