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 \nSteps to building a data inventory Plan the inventory  \nDecide on the dataset’s attributes you want  \nto collect  \nPopulate the inventory  \nPublishing the inventory so others can find it  \nUpdating the inventory Further resources  \nAppendix: Data inventory template  \nPurpose of this guide  \nThis guide is intended to support grantees to facilitate data being as findable, accessible, interoperable and reusable (FAIR) as possible by creating a clear inventory of data to help effectively locate, manage, use and share datasets within investments funded by the Bill & Melinda Gates Foundation.  \nIt provides a summary of the benefits of cataloging data in a data inventory, an outline  \nof the steps to create a data inventory and recommendations about what to include in an inventory and how to publish.  \nModule 7 | Sustainable access to data 1  \n[https://www.datasharingtoolkit.org/sustainable-access-to-data](https://www.datasharingtoolkit.org/sustainable-access-to-data) mod-7-3  \nWhen to use this guide  \nStart concept | request proposal | refine proposal | create agreement | request approval | obtain signatures | active  \nYou can use this guide in a number of ways;  \n• At the beginning of an investment, to consider and document the types of data a project will need to access, use and share  \n• Throughout investments as a tool to help locate, manage, use and share datasets  \n• In conjunction with documenting and mapping the stakeholders and value exchanges across a data ecosystem, to better understand the‘data landscape’ of a domain – what data is out there and how much of it could be accessed, used and shared to solve a  \ngiven challenge.  \nIntroduction  \nGrant-making institutions like the Bill & Melinda Gates Foundation aim to create the widest possible benefits from the research they fund. The Agricultural Development program supports country-led inclusive agricultural transformation across Sub-Saharan Africa and South Asia. Within this program, the foundation’s Digital Farming Services (DFS) portfolio works to support innovation in integrated digital farmer services to accelerate productivity and income growth for smallholder farmers (SHF) .  \nCreating digitally-enabled services to reduce risk and improve farm-level decisions requires sustainable access to data in order to ensure  \nservices are made available and shared with the largest audience possible. The DFS portfolio goal of ‘at least 50% of SHFs in target geographies using digitally-enabled services to reduce risk  \nModule 7 | Sustainable access to data 2  \n[https://www.datasharingtoolkit.org/sustainable-access-to-data](https://www.datasharingtoolkit.org/sustainable-access-to-data) mod-7-3  \nand improve farm-level decisions’ by 2030, can only be achieved when grantees, regional implementing partners, and local institutions are able to find, access, use and share relevant data.  \nData assets, such as datasets, identifiers, and inventories, are part of our data infrastructure 1 and as such need sustainable access and adequate governance. Cataloging data can help to effectively locate, manage, use and share datasets to achieve project or organisational goals.  \nA data inventory is a list of datasets annotated with important information (known as metadata) that can help users understand why data has been collected, what it contains, how it is managed and the ways it will be made available for others to use. It is a useful tool for any organisation or project dealing with multiple types and sources of data.  \nWhen published under an open licence, a data inventory can also help people outside of an organisation to find and use the data","cbCaij5E3N0eScpM","https://ap.wps.com/l/cbCaij5E3N0eScpM","pdf",503405,26,"English","# Purpose of this guide\n## When to use this guide\n# Introduction\n## Why create a data inventory?\n# Steps to building a data inventory\n## Plan the inventory\n## Decide on the dataset’s attributes you want to collect\n## Populate the inventory\n## Publishing the inventory so others can find it\n## Updating the inventory\n# Further resources\n# Appendix: Data inventory template","[{\"question\":\"What problem does a data inventory solve for projects and organizations?\",\"answer\":\"A data inventory helps users locate, understand, manage, use, and share datasets by organizing metadata that explains why data was collected, what it contains, how it is managed, and how it will be made available.\"},{\"question\":\"When should you use this data inventory guide during an investment?\",\"answer\":\"Use it at the beginning to consider and document needed data, throughout the investment to help locate and manage datasets, and alongside stakeholder/value-exchange documentation to understand the data landscape in a domain.\"},{\"question\":\"What are the core steps to create and maintain a data inventory?\",\"answer\":\"Plan the inventory, define the dataset attributes to collect, populate the inventory, publish it so others can find it, and update it over time to keep information current.\"}]","Data Sharing Toolkit - Module 7 - How to create a data inventory - Checklist | PDF",1789243495,9]