Research Data Management Planning

Transcription

1 Research Data Management Planning Harry Enke Leibniz Institut für Astrophysik Potsdam 19. October 2011, Hamburg

2 Origins Pooling experiences and ideas of five scientific communities with a long history in building ITinfrastructures for science for Goal: creating technically and organisationally sustainable framework for collaborative research (VRE) Astronomy High Energy Physics Climate Research Life Sciences Humanities (AstroGrid-D) (HEP-Grid) (C3-Grid) (MediGrid) (TextGrid)

3 Long Term Archiving vs. Research Data Management LTA is not preservation of dead data but implies Re-Use (including other technical, temporal, organisational, or other contexts). Considerable overlap with issues of Data Driven Science, Data Sharing, etc. Not only relevant at the end of research processes, but during the whole Life Cycle of research data. These aspects are more naturally addressed within Research Data Management. LTA too narrow in it s overladed context.

4 Elements of Research Data Management Identification of Responsibilities, finances/sustainability, Rights,... intellectual Re-Usability Context informations, Object models, content versioning,... technical Re-Usability technical quality controls, conversions,... Bitstream Preservation: technical stability sufficient independent copies, integrity checks,...

5 Responsibilities and Capabilities Discipline specific Groups and Communities intellect. Re-Usability interdisciplinary Memory Institutions technical Re-Usability HPC Resource Providers Bitstream Preservation

6 Checklist und Guidelines LTA/RD-Management issues: Know-How-Gap found for researchers and infrastructur providers Funding agencies require more efficient RDM New and improved research achievable Checklist Research Data Management (RDM) Starting Point: researcher and infrastructures, not archives Aim: data management plan by or (preferrably) before project start Supplemented by guidelines with explanations and additional literature

7 Realms within the Life Cycle of Data Planning and Creation Access and (Re)-Usage Appraisal and Selection Preservation Planning Ingest/ Migration Storage and Infrastructure

8 Tasks across Realms Management Managemnt. Organisation Organisa.on Policies Policies Iden.fier Identifier Ethics, Recht und Laws, Ethik Legal issues Metadaten Metadata Costs, Kosten und Human Personal Resources

9 Planning and Creation How important are data for the project aims? Planung Planning und & Erstellung Creation Which kind of data is generated? (e.g. observational data, simulation data, video interviews,... ) Is it unique data? (e.g. in time domain) Is the data recoverable? Is available data being reused?...

10 Appraisal and Selection Which data should be retained and preserved, and why? working copy proof of correct scientific procedure re-use requirements (legal, ethics ) Auswahl Appraisal und & Bewertung Selection How long should the data be available? What selection processes and procedures apply? Are any available?...

11 Ingest and Migration When, and how is data migrated? Who takes the data (handover)? Ingest/ & Übernahme Migration Are community specific or institutional data archives / repositories available? Are rights and responsibilities of acting parties sufficiently well defined? (see, e.g.: nestor-leitfaden Wege ins Archiv ) ( Into the Archive )...

12 Storage and Infrastructure Who is responsible for storing the data during project after the project Speicherung Storage & Infrastructure Infrastruktur Handling of backup copies? creation checksumming Required (estimated) network bandwidth for data transfer and access?...

13 Preservation Planning Are dependencies and used techniques well documented? Are targeted user groups and requirements for data usage documented? Presevation Erhaltungs- maßnahmen Planning Are periodical assessments of changes in requirements, available technologies or dependencies implemented? (See e.g. : nestor Leitfaden zur digitalen Bestandserhaltung. Vorgehensmodell und Umsetzung ) (Guidelines for digital Preservation. Model and implementation.)

14 Access and (Re)-Usage Who is using the data? inside the project community outside of community Zugriff Access und & (Re)-Usage Nutzung Restrictions for data usage? licenses time like / country like How are the data sets published?...

15 Management and Policies Requirements of funding agencies participating institutes participating research groups data donors Iden.fier Metadaten Managem. Management Orga. Policies Kosten und Personal Recht und Ethik How to verify data management plan? checkpoints procedures...

16 Ethics, Laws and Legal Issues Are the research data sets protected data? Do privacy issues exist? Iden.fier Managem. Orga. Policies Ethics Recht und Ethik Laws,.. Do legal, ethical or commercial issues exist for the data? Metadaten Kosten und Personal What kind of intellectual property laws apply to the data (or part of them)? Are the data sets licensed? Which licenses apply?...

17 Costs and Human Resources What are the total costs? What amount of human resources are required for data management? Iden.fier Metadaten Managem. Orga. Policies Costs, HR Kosten und Personal Recht und Ethik Which institutions and which persons (in what roles) are responsible for implementation of data management? Do the participants have a clear understanding and an agreement about the data management tasks?...

18 Metadata Which information is covered by metadata? Objects Actors Sources Procedures Results Managem. Orga. Policies Iden.fier Metadata Metadaten Recht und Ethik Kosten und Personal Which semantics and syntax applies? Do specific metadata exist for the disciplin? Which metadata could be generated by software?...

19 Identifier Definition of information objects? Identifier Iden.fier Managem. Orga. Policies Recht und Ethik Which information objects need persistent identifiers? Metadaten Kosten und Personal Which identifiers are used? (Standards, Syntax, etc.) Who selects and maintains identifiers? Are updates planned?...

20 Vielen Dank!

21 PromoEon WissGrid Workshop "Research Data Management: Planing Tools" 6 th December 2011, SUB GöUngen Release of the checklist and guideline (draw for public comment) More on the WissGrid homepage! hzp:// html

22 11. Preservation Policy Private Domain A 1. Data management plan 2. Incentives system Group Domain B 3. Quality assurance 4. Selection 5. (extended) Data management plan 6. (new) incentives system Persistent Domain C 7. SLAs 8. Mandate Trust/Certifcates 9. Interfaces / Metadata Standards 10. PID, STD-DOI, ESSD 13. Access Access Re-Use D 14. Community portal 15. Scientists 16. Public 17. Google 12. disciplin specific organisational struktures: Roles and Responsibilities (also between Archives, Registries, etc) Radieschen

23 Discussion LTA vs. RDM different realms different responsibilities different domains broader range of tasks for RDM broader variety of digital objects publications in journals & books are only last step in production ( end product ) libraries tend to approach research data backwards research data needs forward approach [from creation to end product]