Towards Data Management Planning Support for Research Data

Heike Görzig, Felix Engel, Holger Brocks, Tobias Vogel, Matthias Hemmje

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Abstract

This paper outlines challenges and requirements for developing tools and services supporting automated generation, management, evolution, and execution of Data Management Plans (DMPs) by reviewing Research Data Management (RDM) processes represented by Knowledge-based and Process-oriented Innovation Management (German: Wissenbasiertes Prozess-orientiertes Innovationsmanagement, WPIM). Based on this representation Data Management Rules (DMRs) will be derived to support the Integrated Rule-Oriented Data System (iRODS). In this way, compliance with the Open Archive Information System (OAIS) and packaging the relevant context information related to a data object is supported in a serialization using the Open Archives Initiative Object Reuse and Exchange (OAI-ORE) format specification.
Original languageEnglish
Title of host publicationASE International Conference on Data Science Stanford, United States of America
Publication statusPublished - 2015
Externally publishedYes
EventThe Sixth ASE International conference on data science - Stanford, United States
Duration: 18 Aug 201520 Aug 2015

Conference

ConferenceThe Sixth ASE International conference on data science
Abbreviated titleASE 2015
CountryUnited States
CityStanford
Period18/08/1520/08/15

Fingerprint

data management
compliance
information system
innovation
planning

Keywords

  • DMP
  • RDM
  • OAIS
  • OAI-ORE
  • data curation
  • automation
  • data management policies
  • process management
  • WPIM
  • CAPP

Cite this

Görzig, H., Engel, F., Brocks, H., Vogel, T., & Hemmje, M. (2015). Towards Data Management Planning Support for Research Data. In ASE International Conference on Data Science Stanford, United States of America
Görzig, Heike ; Engel, Felix ; Brocks, Holger ; Vogel, Tobias ; Hemmje, Matthias. / Towards Data Management Planning Support for Research Data. ASE International Conference on Data Science Stanford, United States of America. 2015.
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title = "Towards Data Management Planning Support for Research Data",
abstract = "This paper outlines challenges and requirements for developing tools and services supporting automated generation, management, evolution, and execution of Data Management Plans (DMPs) by reviewing Research Data Management (RDM) processes represented by Knowledge-based and Process-oriented Innovation Management (German: Wissenbasiertes Prozess-orientiertes Innovationsmanagement, WPIM). Based on this representation Data Management Rules (DMRs) will be derived to support the Integrated Rule-Oriented Data System (iRODS). In this way, compliance with the Open Archive Information System (OAIS) and packaging the relevant context information related to a data object is supported in a serialization using the Open Archives Initiative Object Reuse and Exchange (OAI-ORE) format specification.",
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Görzig, H, Engel, F, Brocks, H, Vogel, T & Hemmje, M 2015, Towards Data Management Planning Support for Research Data. in ASE International Conference on Data Science Stanford, United States of America. The Sixth ASE International conference on data science, Stanford, United States, 18/08/15.

Towards Data Management Planning Support for Research Data. / Görzig, Heike; Engel, Felix; Brocks, Holger; Vogel, Tobias; Hemmje, Matthias.

ASE International Conference on Data Science Stanford, United States of America. 2015.

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

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N2 - This paper outlines challenges and requirements for developing tools and services supporting automated generation, management, evolution, and execution of Data Management Plans (DMPs) by reviewing Research Data Management (RDM) processes represented by Knowledge-based and Process-oriented Innovation Management (German: Wissenbasiertes Prozess-orientiertes Innovationsmanagement, WPIM). Based on this representation Data Management Rules (DMRs) will be derived to support the Integrated Rule-Oriented Data System (iRODS). In this way, compliance with the Open Archive Information System (OAIS) and packaging the relevant context information related to a data object is supported in a serialization using the Open Archives Initiative Object Reuse and Exchange (OAI-ORE) format specification.

AB - This paper outlines challenges and requirements for developing tools and services supporting automated generation, management, evolution, and execution of Data Management Plans (DMPs) by reviewing Research Data Management (RDM) processes represented by Knowledge-based and Process-oriented Innovation Management (German: Wissenbasiertes Prozess-orientiertes Innovationsmanagement, WPIM). Based on this representation Data Management Rules (DMRs) will be derived to support the Integrated Rule-Oriented Data System (iRODS). In this way, compliance with the Open Archive Information System (OAIS) and packaging the relevant context information related to a data object is supported in a serialization using the Open Archives Initiative Object Reuse and Exchange (OAI-ORE) format specification.

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KW - RDM

KW - OAIS

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BT - ASE International Conference on Data Science Stanford, United States of America

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Görzig H, Engel F, Brocks H, Vogel T, Hemmje M. Towards Data Management Planning Support for Research Data. In ASE International Conference on Data Science Stanford, United States of America. 2015