NSF program

MIP reporting, and where the year actually goes

Materials Innovation Platform

A MIP is a national user facility. Most of its reportable output belongs to researchers who do not work there, which is a data collection problem before it is a reporting one.

What the report leans on

External user access and outcomes, alongside the platform's own in-house research and data sharing.

The sections that cost the most time

External user projects and outcomes: The users are the deliverable, and they are the group with the least reason to reply. Their papers, their acknowledgments and their results all have to be chased from outside the institution.
Internal versus external usage: The ratio is the headline metric for whether a platform is serving the community, and it comes from instrument logs that were built for scheduling, not for reporting.
Data sharing and reuse: Platforms are expected to publish data, not just papers. Datasets need identifiers, licences and provenance recorded when produced.
Acknowledgment verification at scale: Hundreds of external users produce papers that may or may not cite the award. Checking that by hand does not survive contact with volume.

In more detail

What a MIP is

NSF's Materials Innovation Platforms fund large, multi-year awards for materials synthesis, characterization and theory, operated as national user facilities. Researchers from anywhere can apply for access, run work on the platform's instruments with the platform's staff, and publish the results.

That is the program's purpose and its reporting difficulty in the same sentence. A platform's impact is mostly other people's science.

What the annual report asks for

All the usual center sections, plus a heavy accounting of the user program: who was granted access, what they worked on, what came out of it, and how the platform's capacity split between external users and in-house research.

Data sharing carries real weight. A platform is expected to make data available and reusable, so datasets are reportable products with their own identifiers and provenance.

Where the time actually goes

Into chasing people with no obligation to answer.

An internal researcher who ignores a data request will see the coordinator at lunch. An external user finished their run fourteen months ago, went home, published eight months later, and has no particular reason to tell anyone. Yet their paper is the platform's headline output, and whether it acknowledged the award decides whether it counts.

Multiply that across a full user program and the annual report becomes an outbound collection campaign aimed at people who have already moved on.

The record the report comes out of

A platform's output is largely other people's papers, which makes this a discovery problem before it is a collection problem.

We run the public site for the Materials Innovation Platforms, alongside the MRSEC, PREM and NeuroNex program sites. Close to a decade inside NSF's Division of Materials Research.

For a user facility the piece that matters most is publication discovery and verification. DOIs import through CrossRef, the funding acknowledgment is parsed and matched against the award number rather than asserted by an author, and anything unverifiable is flagged for review. That counts an external user's paper without the external user having to answer an email.

For everything the platform runs itself, people carry roles with start and end dates, and projects and outreach sit in the same record.

Other programs

Reporting season should be a review, not a reconstruction.

Thirty minutes, no deck. Tell us which sections cost you the most last year and we will tell you whether they are worth automating.

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