See All Projects

Academic Credit for Data Sharing

Focus Area: Data Transparency

Academic Credit for Data Sharing

The current system for recognizing academic advancement is predicated on a track record of publications. The individuals who share data are not rewarded academically for making that data available to others for analysis, nor for the work involved in preparing and curating the data. The current system for academic recognition is not aligned with the goals of data sharing and may contribute to the reticence to share data.

In response, the MRCT Center has collaborated with the New England Journal of Medicine and the Association of American Medical Colleges to mobilize a working group of key stakeholders from academia, journals, and funding organizations. The group aims to work in the following five focus areas, each of which has its own specific objective:

  • Criteria: create guidelines and criteria for establishing which researchers are given credit for their work in generating, curating, and making available original datasets
  • Technical Requirements and Integration with Current Efforts: harmonize and supplement existing principles and strategies for good data management (e.g. data curation, citation, and archiving) and move towards a unified technical solution
  • Academic Institutions: obtain consensus from diverse stakeholders to ensure that academic institutions have a standardized process for documenting, incorporating, and assessing credit for data sharing efforts
  • Journals and Publishers: obtain agreement from diverse stakeholders to ensure that journals will—and will be able to—adopt a single system for acknowledging the work of data authors in publications in a manner that allows for tracking of the use of datasets and of secondary publications based on the work of data authors
  • Funders: obtain consensus and agreement from diverse stakeholders to ensure that funders are able to assess the impact of an applicant’s previously shared data and the validity or robustness of a proposal to use an existing dataset

The project was launched in May 2017, during which time key stakeholders from academia, journals, and funding organizations met to discuss the criteria and technical requirements for developing a system of credit for data sharing. We aim to address critical issues relevant for implementation of a credit for data sharing system.

Current Status: Active project

Impact:  A systematized, consistent, and universal method for giving credit to researchers who generate, manage, and/or share data would create legitimate and lasting incentives for data sharing.

Objective:

  • Develop the criteria and system for recognition of generators of data in a way that is meaningful, appropriate, standardized, and accepted by researchers, academic institutions, journals, and funders

Key Milestones:

  • May 2017: Workgroup launched on credit for data sharing
  • July 2017: In-person meeting at the New England Journal of Medicine
  • September 2017: Technical considerations developed for establishing a system of credit for data sharing
  • April 2018: Credit for Data Sharing Conference held in Washington, DC, in collaboration with Association of American Medical Colleges (AAMC)

Related External Links: NEJM Article on Data Authorship as an Incentive to Data Sharing

Project Coordinator: Emily Statham