







Pure is Elsevier's research information management system (RIMS), also known as a CRIS, used by 500+ institutions in 50+ countries to manage research data.
The Gradual Merging of Repository and CRIS Solutions to Meet Institutional Research Information Management Requirements
Much has been said in recent times about the alleged dichotomy between Institutional Repositories (IRs) and Current Research Information Systems (CRISs). According to this highly ideological argument, IRs would be the platforms to support the non- commercial initiative jointly carried out by HEIs – and specifically their Libraries – in order to freely disseminate their research outputs, whereas CRISs would support the whole institutional research information management (RIM) with special emphasis on projects and funding. RIM being an activity oriented towards reporting for research assessment exercises and thus tightly connected to the institutional funding, the support from the Management at HEIs for CRIS implementation and operation and for the Research Office traditionally in charge of such tasks would be much higher than for the much less relevant IR. Moreover, the awareness of researchers and scholars towards such platforms will usually be much higher for the CRIS – from whose accurate and complete depiction of their research activity their salaries will ultimately depend – and it won’t be unusual to collect complaints on the need to ensure that both systems are simultaneously fed with the appropriate, often duplicated information. According to this conception, it is often hard to get the institutional Research Office and Library to work together for improving the end-user experience by enhancing their system interoperability. While much of this may still be happening at a number of HEIs, the general landscape is swiftly evolving and it's not that accurate anymore to describe the RIM system configuration at institutions in such oversimplified terms. CRIS/IR interoperability is now a fairly widespread feature that will allow both platforms to efficiently exchange information and reinforce each other's features, and especially the borders between what each of these platforms is and does are becoming increasingly blurred. Commercial CRISs are gradually becoming compliant with the OAI-PMH protocol and thus becoming able to offer institutions an integrated repository functionality, while the main open source IR platforms have now developed extended data models that will allow them to deliver features traditionally associated to CRISs such as project and funding management, hence becoming suitable solutions for research institutions where purchasing or developing a highly-sophisticated CRIS is not a top priority. This paper aims to describe the areas where CRIS/IR interoperability is taking place, and will provide a set of use cases for institutional research information system configuration involving IRs, CRISs and a combination of both. These will show how both systems are now increasingly merging for best serving institutions and their researchers.
Atlas Research - AI-Powered Research Platform
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DAIR Institute
The Distributed AI Research Institute is a globally distributed organization of academics, activists, and engineers conducting community-rooted research.

DAIR Institute
The Distributed AI Research Institute is a globally distributed organization of academics, activists, and engineers conducting community-rooted research.

supercritical | shishyko!
Supercritical is a newsletter about what happens when systems produce faster than they can coordinate. AI is making the generation of knowledge abundant, but generation was never the whole system. Validation, dissemination, credit, trust: these were bundled into institutions designed for scarcity, and this legacy architecture is now the primary bottleneck. If we fail to redesign it, progress will be sawtooth rather than smooth. Using the crisis in modern science as an early warning, this newsletter imagines the capabilities and infrastructure that come next, including provenance, trust-graded disclosure, and new protocols of coordination.
Databricks: Leading Data and AI Platform for Enterprises
Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data Intelligence Platform.

The FDA Sentinel Real World Evidence Data Enterprise ( RWE ‐ DE )
Purpose The US Food and Drug Administration's Sentinel Innovation Center aimed to establish a query-ready, quality-checked distributed data network containing electronic health records (EHRs) linked...

The FDA Sentinel Real World Evidence Data Enterprise ( RWE ‐ DE )
Purpose The US Food and Drug Administration's Sentinel Innovation Center aimed to establish a query-ready, quality-checked distributed data network containing electronic health records (EHRs) linked...

mlowdi/automation-schema
Proposed ATproto Lexicon for detailed information about an automated account.
Exploring CRDT Lexicons
I’ve (alongside many others I’m sure) been working on CRDT work with atproto, and I think we’ll need to come up with some standard for how to represent CRDT data as lexicons. @chris.pardy.family has written a leaflet exploring what such a record could look like and is looking for feedback and thoughts: CRDT's on ATProto I think it’s a good start. It doesn’t tie us to any particular CRDT, though it doesn’t guarantee interop between different CRDT types, which seems fine to me. I’m thinking may...

CIDs: What You Need to Know and Why, Part 2 - Nick's Blog
How ATProtocol uses Content Identifiers to create a versioned, verifiable, and portable data model.
Great survey of the "scholarly interface design" frontier that also highlights the emerging role of the atproto.science and modular research ecosystems - @chive.pub @paperstarsorg.bsky.social @cosmik.network @semble.so @margin.at @discoursegraphs.bsky.social @curvenote.com and many more!
leotrs
1/ Scholarly publishing spent thirty years arguing about access. It has barely started arguing about what readers do with the paper once they have it. That second argument is turning into a field, forming around how science gets read and judged. Here is the map as I see it: aris.pub/blog/scholarly-interface-desi…
We had the very first research lexicons call today, to discuss interop & standards for research applications! 🎉 (think @standard.site but for science 🧪) With @mariaa.bsky.social @wesleyfinck.org @aaronstevenwhite.io @byarielm.fyi @ronentk.me Reach out if you want to be part of these discussions!
this is probably going to be unpopular but: I think atproto’s best mainstream opportunity right now is if the AI labs realize that converting all the content on the internet into clean, structured data is way cheaper than scraping + also public and available in a handy dandy jetstream for ingestion
anna 🍂🍁🍎
just for fun can we all brainstorm moonshot ways to get people onto the atmosphere