Data Management Planning

Create, review, and share data management plans that meet institutional and funder requirements.

Manage, share, and preserve your research data.

Plan, describe, disseminate, steward and archive your datasets.

Helping MIT faculty and researchers manage, store, and share data they produce.

Practice for exposing, sharing, and connecting pieces of data, information, and knowledge on the Semantic Web using URIs and RDF.

Assists with creating and implementing data management plans, applying best practices for managing data, and finding data management services at any stage of the research process.

Create ready-to-use data management plans for specific funding agencies.

Afree service that helps researchers and institutions to create high-quality data management plans that meet funder requirements.

A flexible web-based tool to assist users to create personalised plans according to their context or research funder.

A questionnaire which builds on work accomplished by the Data Conservancy and addresses the main elements of data management plans.

Introductory guide for researchers and research administrators who are charged with preparing a data management plan for a research project or an institution.

Connect with UCSD's digital technology services.

Six key recommendations for managing your data/digital materials to ensure their longevity and usefulness.

Over 680 selected English-language articles, books, and technical reports that are useful in understanding the curation of digital research data in academic and other research institutions.

Organize, structure, store, and care for the information used or generated during a research project.

Resources for addressing the NSF requirement for DMPs.

Promotes innovation in metadata design and best practices across the metadata ecology.

Develops and promotes interoperability standards that aim to facilitate the efficient dissemination of content.

Promotes the coordinated development, use, sharing, and dissemination of geographic data.

Darwin Core is a metadata standard used to describe biological diversity.

A free standard that can document and manage different stages in the research data lifecycle.

An introductory guide on how to write in DIF.

Maps, Geographic Information Systems (GIS) files, imagery, and other location-based data resources.

A valuable resource for information pertaining to marine metadata, including standards, semantics, controlled vocabularies and ocean informatics.

Metadata for images in XML Schema.

The Text Encoding Initiative (TEI) is a consortium which collectively develops and maintains a standard for the representation of texts in digital form. Its chief deliverable is a set of Guidelines which specify encoding methods for machine-readable texts, chiefly in the humanities, social sciences and linguistics. Since 1994, the TEI Guidelines have been widely used by libraries, museums, publishers, and individual scholars to present texts for online research, teaching, and preservation. In addition to the Guidelines themselves, the Consortium provides a variety of resources and training events for learning TEI, information on projects using the TEI, a bibliography of TEI-related publications, and software developed for or adapted to the TEI.

Search for images that are in the public domain OR have been granted creative commons status.

A set of legal tools to help you provide and use Open Data

Explore the intersection of the web, legal tools, and scholarly publishing for the benefit of scientific discovery, innovation, and collaboration.