Data provider

Provides digital solutions aimed primarily for UK education and research. 

Provision includes shared digital infrastructure and services, such as the superfast Janet Network. They help the sector save time and money by negotiating sector-wide deals with IT vendors and commercial publishers. They offer expert and trusted advice on digital technology for education and research, built from over 30 years’ experience. 

Free online courses from Delft University of Technology on edX

Delft University of Technology is the largest and oldest technological university in the Netherlands. Our research is inspired by the desire to increase fundamental understanding, as well as by societal challenges. We encourage our students to be independent thinkers so they will become engineers capable of solving complex problems. Our students have chosen Delft University of Technology because of our reputation for quality education and research.

MOOC, offering diverse online teaching including single courses, specializations, professional certificates, mastertrack certificates and online degrees. 

It offers an array of syllabuses on "Data Science".

DataONE is a community driven project providing access to data across multiple member repositories, supporting enhanced search and discovery of Earth and environmental data. DataONE promotes best practices in data management through responsive educational resources and materials.

The EHRI workshop ‘Trusted Digital Repository’ provided an overview of available techniques to evaluate the maturity in digital preservation of a CHI and the process of obtaining a globally recognised Trusted Digital Repository (TDR) status. Prior to the workshop attendees could fill in a survey on digital preservation that was used as valuable input. During the workshop the attendees were first introduced to the topics and achieved a better understanding of these due to the break-out structure of the workshop. The workshop took place on 26 June 2018 in Vilnius, Lithuania and is described in deliverable D13.4

Data management planning (DMP) concerns the development, execution and supervision of plans, policies, programs and practices that control, protect, deliver and enhance the value of data and information assets. The certification of digital repositories (the subject of D13.4) is an important instrument to improve the quality of the data management infrastructure. Both DMP and certification of repositories are closely related and covered in this report. This deliverable contains the strategy and planning to create and disseminate expertise on DMP for the EHRI community. Input from the research data community on DMP is discussed with and assessed by policy makers from IT-savvy EHRI partners. This input consists of the FAIR data principles, the certification of repositories by means of a certification framework, the data management services provided by the EUDAT Collaborative Data Infrastructure, and the current relevant practices of the invited partners as well as the Dutch National Archives. All these will be used as building blocks for the final roadmap for a long-term access infrastructure of Holocaust digital objects (D13.2).

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.

Focus on:

• strategies to minimise errors during the processes of data entry and data coding
• the choice of file formats
• managing the integrity and authenticity of data during the research process
• a systematic approach to data quality
• DMP questions on these topics.

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.

Focus on:

• elements which are important in setting up an appropriate structure for organising data for intended research work and data sharing
• overview of best practices in file naming and organising data files in a well-structured and unambiguous folder structure
• how comprehensive data documentation and metadata increases the chance data are correctly understood and discovered
• common metadata standards and their value
• relevant DMP questions on this topic.

Chapter introducing research data management and data management planning, explaining basic concepts on:

• research data, social science data, (sensitive) personal data and FAIR principles
• data management and data management plans (DMP)
• the content elements that make up a DMP

Detailed guidance for researchers, with model consent form and example consent forms, on how to consider future reuse of research data as part of consent procedures with research participants. To make sure that research data, in particular qualitative data, can be made available for future reuse, it is important that consent for future reuse of the data by other researchers is sought from participants. Participants should be informed how research data will be stored, preserved and used in the long-term, and how confidentiality can be protected when needed.

Guidance considers written and verbal consent, the timing of consent, examples consent forms and wording to use, etc.