Depositing your data with ReShare
UK Data Service
Entry (no or almost no prior knowledge)
This is a workshop designed to give participants a virtual tour of ReShare, where you will learn everything you need to know in order to archive data using our self-deposit repository.
This free workshop will be useful if you are an ESRC grant holder whose grant has ended and is required to deposit your research data; if you are a researcher interested in making data available for replication, reuse, or as evidence for a published paper; or if you are just curious to explore how publishing data happens in practice.
The session will cover how to deposit data using a self-deposit repository like ReShare; how to describe a data collection well (i.e. what metadata and documentation should be provided); why providing detailed and accurate metadata is important; how to prepare and upload data and documentation files; and finally what access level and licence is suitable, plus how this is determined for data archived via ReShare.
The 90-minute workshop will consist of a 45-minute presentation followed by a 30-minute practical element where attendees can create a mock ReShare data collection. The workshop will conclude with 15 minutes for questions and discussion.
Presenter: Anca Vlad
We will be using Mentimeter to ask questions in this workshop so you may benefit from having a second device ready for this, such as a smartphone.
Experience/knowledge required: Basic methods of qualitative or quantitative data research
Target audience: Researchers/anyone interested in publishing/archiving their data using the ReShare repository
This event is part of our UK Data Service introductory training series: Spring 2023.
This event will be livestreamed on our UK Data Service YouTube channel but the chat will be disabled. By registering and attending the Zoom event you will be able to ask questions and interact.
Recordings of UK Data Service events are made available on our YouTube channel and, together with the slides, on our past events pages soon after the event has taken place.
Website and registration:
Data Collection, Data Quality and Data Management , Qualitative Data Handling and Data Analysis, Quantitative Data Handling and Data Analysis
Related publications and presentations:
Data Quality and Data Management
Qualitative Data Handling and Data Analysis
Quantitative Data Handling and Data Analysis