|OpenAIRE Task Forces||
The task forces are a new programme in OpenAIRE Advance to enable capacity building, competencies and awareness raising on different relevant open science topics, involving all partners and NOADs, demonstrating a vertical approach for knowledge exchange. NOADs with more engaged activity levels are involved throughout and are also encouraged to facilitate these groups, aiming to strengthen understanding, steer project activities and, mobilise community ties.
In OpenAIRE Advance there are three task forces (at the bottom of the page you find useful resources (guidelines, blogs, checklists, etc):
|UKDS training workshops, events and webinars||
Training workshops, webinars and events on various data managemnet topics organised by the UK Data Service.
Slides of all events are made available on the past events pages. Recordings of webinars are made available on the UKDS YouTube channel. All can be used for training activities,.
|Archive and Publish||
High-quality data have the potential to be reused in many ways. This chapter explores options for archiving and publishing data as a strategy for FAIR data, considering repository solutions, access, use and citation of data.
Key legal and ethical considerations in creating shareable data. This chapter clarifies the different legal requirements of the European Union Member States, and the impact of the General Data Protection Regulation (GDPR) on research data management. It shows how sharing personal data can often be accomplished by using a combination of obtaining informed consent, data anonymisation and regulating data access. The supporting role of ethical review in managing legal and ethical obligations is also highlighted in this chapter.
Chapter on storage, backup, recovery and security strategies for research data, to protect them against accidental loss and against unauthorised manipulation. Particularly when collecting (sensitive) personal data it is necessary to ensure that these data can only be accessed by those authorized to do so.
Chapter on the data operations needed to prepare data files for analysis and data sharing, starting with data entry and coding of data files. Throughout the different phases of research data files will be edited numerous times. During this process, it is crucial to maintain the authenticity of research information contained in the data and prevent it from loss or deterioration, as well as a comprehensive approach to data quality.
|Organise and Document||
Chapter on how to properly organise and document data and metadata, discussing good practices in designing an appropriate data file structure, file naming and organising data within suitable folder structures; how organising data facilitates orientation in the data file, contributes to the understanding of the information contained and helps to prevent errors and misinterpretations. Also what counts as appropriate documentation of data, development of rich metadata to make data FAIR and standards to promote data sharing.
Chapter introducing research data management and data management planning, explaining basic concepts on:
|Eindhoven University of Technology : a basic course on research data management||
Part of their series on Information Literacy and Research Data Management
An introductory module to grasp the basics of research data management, dealing with:
1) what and why research data management
2) Sharing data, making it findable and accessible
3) Caring for your data, making it usable and interoperable
|CESSDA Data Management Expert Guide||
The Data Management Expert Guide is designed by European experts from the CESSDA Training Working Group to help social science researchers make their research data Findable, Accessible, Interoperable and Reusable (FAIR).
The guide is written for social science researchers who are in an early stage of practising research data management. With this guide, CESSDA wants to contribute to professionalism in data management and increase the value of research data.
The guide leads through the research data lifecycle from planning, organising, documenting, processing, storing and protecting data to sharing and publishing them. Taking the whole roundtrip will take approximately 15 hours.
Particular specialties of the guide is a focus on European diversity (for example in data protection legislation, research ethics, research funder DMP requirements, etc), developing a Data Management Plan as you progress through the guide, and topical expert tips.