Skip to main content

Unfortunately we don't fully support your browser. If you have the option to, please upgrade to a newer version or use Mozilla Firefox, Microsoft Edge, Google Chrome, or Safari 14 or newer. If you are unable to, and need support, please send us your feedback.

Publish with us
Tracking institutional research data header

Are you tracking your institutional research effectively?

Find out how other institutions utilise technology to nurture a culture of data sharing, in our latest whitepaper.

Tracking Research Data

The introduction of technology for the research sector has led to novel and increasingly flexible research methodologies and tools, to the point where now you’ll find digital devices utilized in almost all research activities.

As research grew, data sets grew but weren't always accompanied by good data management. The amount of research data lost or misplaced over time is too vast to be estimated and now, due to a growing range of drivers and initiatives such as research funders, good data management is becoming an emerging priority for institutions. But that process doesn’t happen overnight, so how can your institution nurture research data tracking?

RDM lifecycle

RDM Lifecycle

Download Tracking Research Data white paper

Tracking institutional research data: How universities can nurture a culture of data sharing

Download the white paper (opens in new tab/window)

“A data-driven approach to prioritizing funding would be tremendously helpful as opposed to subjective decision-making.”

Ishwar Chandramouliswaran


Ishwar Chandramouliswaran

Program Director, NIH Office of Data Science Strategy at National Institutes of Health (NIH)

Use cases for research tracking

Use cases to support research data management and sharing in your institution are a vital step in securing buy in and funding, helping to make a business case to justify the investment. Those use cases may include the identification of pockets of excellence in data management and sharing, to the publication of institutionally affiliated research data via a public portal.

Discover more use cases in the whitepaper now(opens in new tab/window)

research tracking

Your 10-step plan to begin tracking your institutional research data

Step 1. Review your current support for open science practices

As a starting point, consider where your institution stands with regard to open research - including policies, practices and behaviors. This will help frame any discussions around (open) data management and sharing and its subsequent tracking.

Download the nine other steps now(opens in new tab/window)

tracking your institutional research data