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Data management

Data Management is a set of practices and techniques used by researchers to ensure that their data is organised, structured and easily reusable for future research

Resources

  • Transformations: What are the Big Challenges and Opportunities for Data-intensive Research?

    EN
    What are the big challenges and opportunities for data-intensive research over the next ten years? This panel discusses digital transformations in the humanities and arts, data ethics and sovereignty, and infrastructure with impact. It features presentations by Dr James Rose (Indigenous Studies Unit, Melbourne School of Population and Global Health) on Data Sovereignty in a Colonial Context: Towards an Integrated National Governance Framework for Australia, Dr James Smithies (Director, King’s Digital Lab) on Integrating DH into the longue durée: Research Laboratories, History, Methods.
  • What Are We Talking about When We Talk about Data in the Humanities?

    EN
    Data as a term is too flat an ontology for the kinds of things that we are all dealing with, argues Sally Wyatt in this keynote lecture. It reduces people, events, objects to things, bits, to be imagined as impersonal, scientific and neutral. Also, she contends, the use of the word 'data' tends to assume that everything is digital. In this keynote, she explains her argument that this is wrong and asks: 'what are we talking about when we talk about data in the humanities?'
  • What Does Data Want?

    EN
    Many academic disciplines use data science to analyze contemporary culture. The question posed by Lev Manovich in this lecture is: shall we continue to aggregate big cultural data and reduce it to a small set of patterns? Or shall we refuse this dominant paradigm instead and focus on diversity, variability and differences (including tiny ones), i.e., work on big cultural data without aggregation and with attention to what is infrequent and outliers?
  • Applying Modern Data Analytics to Classical Questions in the Humanities

    EN
    Mikko Tolonen was the first keynote speaker at the DARIAH Annual Event 2016. His talk was entitled 'Applying modern data analytics to classical questions in the humanities: a perspective from Finland'. It drew attention to the benefits of interdisciplinarity and effective communication between 'centred' disciplines for research in the digital humanities
  • DARIAH Winter School 2016: 'Open Data Citation'

    EN
    The DARIAH Winter School 'Open Data Citation for Social Sciences and Humanities' brought together researchers, professionals with various backgrounds, and students from 15 countries. In total 38 people met in Prague, Czech Republic, to learn about various aspects of open access and open data, as well as many other subjects on digital research.
  • DARIAH Pathfinder to Data Management Best Practices in the Humanities

    EN
    This DARIAH Guide brings together tools, videos, short articles and other training materials that might be relevant when reflecting on your data management processes both in the immediate context of your research and in their broader disciplinary context. Its aim is to equip you with tools and practical advice, but more importantly, with conceptual twists that will help you to establish ethically committed, optimal and as open as possible research and data management workflows.
  • How to Work Together Successfully with e-Humanities and e-Heritage Research Infrastructures

    EN
    This is a record of a webinar dedicated to the phase of the research life cycle “Plan Research Project”. It first introduces the participants to an understanding of the advantages and practicalities of research collaboration in and with Research infrastructures. It then dives into details of project planning, touches upon the basics of the FAIR principles, and focuses especially on the importance of using standards in Digital Humanities and Cultural Heritage research and how to identify relevant standards for the participants’ own research. This webinar gives an introduction to the Standards Survival Kit that is developed within PARTHENOS. It also cross-links to other materials developed within PARTHENOS and by the PARTHENOS Cluster Partners.
  • Make It Happen - Carrying Out Research and Analysing Data

    EN
    This is a record of a webinar dedicated to the phases of the research lifecycle “Carry out Research” & “Analyse Data” in the context of a research infrastructure. Carrying out research and analysis in the context of a research infrastructure requires a change in approach to research, where the harmonization of data and the ability to access and deploy interoperable services is crucial. This webinar gives an overview of the necessary elements required to set up a sustainable research infrastructure with regards to the management of data and services.