Data Management

"10 Things for Curating Reproducible and FAIR Research," describes the key issues of curating reproducible and FAIR research (CURE-FAIR).

As part of the Education And Training On Handling Of Research Data IG activities, the Minimal Metadata for Learning Resources Focus Group recommends a minimal set of metadata for learning resources. By comparing and analyzing existing learning resource-related metadata schemas to find the overlaps, the group provides guidance on metadata elements that should be minimally required for purposes of learning resource discovery to those concerned with supporting or providing training resources.  This set includes a report, a list of minimal metadata elements along with a data dictionary with examples for how to use the elements, and supporting documents.

As part of the Education And Training On Handling Of Research Data IG (ETHRD-IG) activities, the Learning Resource Collectors Focus Group studied the evolving landscape of learning resources on RDM topics. As we collected and listed a snapshot of current catalogues or registries of learning resources for review, we realized that a set of core characteristics could describe these types of organisations that would be useful to help people evaluate and understand the resources they offer. In addition, the identification of core characteristics could help the organisations themselves consider some of the factors that might help them build, structure, and sustain their collections and the services they offer in support of researchers and data specialists seeking learning resources on RDM and data skills topics. This document also supports the work of another ETHRD-IG focus group that recommends a set of minimal metadata elements for learning resources.

A guide to principles and methods for the management, archiving, sharing, and citing of linguistic research data, especially digital data.

Published by MIT Press Open, 2022.