Data Management Planning across Disciplines and Infrastructures. Introduction to the Special Collection

Research output: Contribution to journal › Editorial (Lead article) › Contributed › peer-review

Contributors

  • Sebastian Netscher - , Leibniz Institute for the Social Sciences (Author)
  • Daniela Hausen - , RWTH Aachen University (Author)
  • Chris Wiley - , University of Illinois at Urbana-Champaign (Author)
  • Ivonne Anders - , German Climate Computing Center (DKRZ) (Author)
  • Kevin Ashley - , Digital Curation Centre (Author)
  • Christin Henzen - , Chair of Geoinformatics (Author)
  • Sarah Jones - , GÉANT Association (Author)
  • Tomasz Miksa - , Vienna University of Technology (Author)
  • Maria Praetzellis - , University of California System (Author)

Abstract

The Special Collection Data Management Planning across Disciplines and Infrastructures of the Data Science Journal consists of papers describing practical experiences, concepts, and future directions on the design and deployment of effective data management plans and associated tools. Papers contain practical examples on managing and sharing data, consider the integration of data management plans into infrastructures and reflect innovative research into new directions for disciplinary and cross-disciplinary data management planning.

Details

Original languageEnglish
Article number16
Pages (from-to)1-3
Number of pages3
Journal Data science journal : a journal of the Committee on Data for Science and Technology (CODATA) of the International Council for Science (ICSU)
Volume23 (2024)
Issue number16
Publication statusPublished - 4 Apr 2024
Peer-reviewedYes

External IDs

ORCID /0000-0002-5181-4368/work/159171790

Keywords

ASJC Scopus subject areas

Keywords

  • (cross-) disciplinary data management, activeDMPs, data management plan (DMP), Data Management Planning, data management planning infrastructures, maDMPs

Library keywords