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Researchers spend the majority of their time twofold – producing output and then looking for the output of others to, in turn, help them produce more output. For both of these activities, computers assist us. Unfortunately, the latter activity is a challenge because we often provide information in a way that is hard for the computer to understand; computers like structured information to provide meaningful knowledge. Therefore, the more structured our research output, the better computers can help us with our research.

\r\n
\r\n

LEIbits is a lean approach to self-reporting research findings in a structured way so that you can in turn more easily find and use them with the help of the computer. For more information see: https://doi.org/10.5281/zenodo.15222956

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Guidance for funders aiming to support reusable (FAIR) information \r\non research workflows and outputs.

\r\n
\r\n

The FAIR Funding Framework (FFF) provides guidance for funders aiming to support reusable (FAIR) information tracking research workflows and outputs as well as funder activities and accomplishments. In the FFF, a uniform approach is used to document a wide variety of information types, some administrative, some scientific, using metadata records relevant to any funding organization. This NanoDash Project provides a modular and lightweight model for collecting and integrating information on workflows in (1) each funder’s grant procedures, (2) research lifecycles, and (3) tools and services used in research domains.

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FAIR Implementation Profiles (FIPs) are declared by communities to specify the technologies used to achieve the FAIR principles.

\r\n

This page provides an overview for users involved in creating FIPs.

\r\n

APIs:

\r\n\r\n

Links:

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Links:

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  • SIP Wizard
  • \r\n\r\n
  • GO FAIR Wiki
  • \r\n\r\n
  • Make FIP Matrix
  • \r\n\r\n

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    \r\n
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    \r\n

    Links:

    \r\n\r\n
  • SIP Wizard
  • \r\n\r\n
  • GO FAIR Wiki
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  • Make FIP Matrix
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    APIs:

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    MAC group at Leiden University

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