Data steward

An introduction for data stewards into open and responsible research, covering Responsible Conduct of Research, Open Science and Responsible Research and Innovation. This forms part of the CODATA/RDA/FAIRsFAIR data steward training.

This presentation was delivered virtually for Botswana Open University Library on 17th May 2021 as part of a Foundational Data Stewardship Workshop. It is primarily aimed at data stewards but can also be useful to researchers and RDM service providers and should be viewed in conjunction with these two other presentations that were part of the same workshop:

• DOI:10.5281/zenodo.4665390 (Open and Responsible Research: Roles and Responsibilities for Data Stewards)
• DOI:10.5281/zenodo.4561728 (Developing and Implementing a Research Data Policy)

The UK Data Service and the Office for National Statistics (UK) held a business data conference in 2021. This resource provides all slides, recordings and other useful materials from the conference. 

The conference included a mixture of presentations from the  Office for National Statistics  (ONS), UK Data Service, and researchers who have used data from the UK Surveys covering the areas of business, industry and trade. 

This is privacy by design in research! The aim of this training material is to show researchers how to perform a data protection impact assessment for an innovative research scenario to enable responsible re-use of archived speech corpora.

The project website provides help to develop learning goals.

Taken from: Teaching with CLARIN: https://www.clarin.eu/content/privacy-design-research

The course includes a series of recorded videos, quizes, and practical assignments that will allow you to go through the course at your own pace. It invites researchers, students, trainers and data professionals and any other individual that is looking to gain basic knowledge on Open Science, EOSC and best practices for FAIR data.

This is a five-week course for individuals that support researchers to manage and share their data, including librarians, IT and information specialists, data stewards, and research office staff. You’ll discover common research support services, how to create data management plans, and how to develop your own research data management roadmap. You will learn from experts in the field from the internationally-recognised Digital Curation Centre and Research Data Netherlands and build your confidence in supporting researchers and preserving data. This course has been certified by the CPD Certification Service as conforming to continuing professional development principles.

QAMyData is an easy-to-use, open source tool that provides a health check for numeric data. The tool uses automated methods to detect and report on some of the most common problems in survey or numeric data, such as missingness, duplication, outliers and direct identifiers.

The tool offers a number of configurable tests that have been categorised into four types: file, metadata, data integrity, and identifiers, which can be run on popular file formats, including SPSS, Stata, SAS and CSV. A standard config file has default settings for each test, such as a threshold for pass or fail on various tests (e.g. detect value label that are truncated, email addresses identified as a string, or undefined missing values) which can be easily adapted to meet the user’s own desired thresholds. The configuration feature allows the creation of a unique Data Quality Profile. The software creates a ‘data health check’ that details errors and issues as both a summary and detailed report, providing a location of the failed test. New tests can easily be added. Data depositors and publishers can act on the results and resubmit the file until a clean bill of health is produced.

FAQ by OpenAIRE answering various questions around Open Science and RDM.

This is a collection of resources dedicated to teachers, trainers and their students but could also be useful to researchers and the general public. It includes guides, e-books, slides and webinars covering a wide range of topics: quantitative methods, statistical software, teaching data analysis, data visualisation, qualitative methods and psychosocial approaches.

Section of the Library and information service of Stellenbosch University offering Training and Consultancy on Research Data Management