Presentation at the LAM3 seminar in Uppsala, 9th of October 2019. On digitalization, researchers and data in the context of cultural heritage collections. The slides mostly contain headings, but the two last slides include a list of relevant reading on the subject.

1. Collections meet the researcher
Digitalization, disintegration and disillusions
Jessica Parland-von Essen
https://orcid.org/0000-0003-4460-3906

2. Memory

4. Memory

5. Authenticity

7. Authenticity

8. Objects, artefacts and collections

9. Les bricoleurs

10. Scientific Method in Sociology by Course Hero
https://www.coursehero.com/sg/introduction-to-sociology/research-process-in-sociology/

11. Liu A. et al. Open, Shareable, Reproducible Workflows for the Digital Humanities: The
Case of the 4Humanities.org 'WhatEvery1Says' Project. https://dh2017.adho.org/abstracts/034/034.pdf

12. Angell, N., 58 Organizations Gather to Workshop a Joint Roadmap for Open Science Tools
https://jrost.org/2018/09/13/workshop.html

13. Research Data Management in detail by University of Reading
https://www.reading.ac.uk/internal/res/ResearchDataManagement/AboutRDM/reas-RDMindetail.aspx

14. The FAIR principles
Wilkinson, M., Dumontier, M., Aalsbersberg J.J. et al. (2016). The FAIR guiding principles for scientific
data management and stewardship. Scientific Data. Vol 3. http://dx.doi.org/10.1038/sdata.2016.18

15. Findable
F1. (meta)data are assigned a globally
unique and persistent identifier
F2. data are described with rich
metadata (defined by R1 below)
F3. metadata clearly and explicitly
include the identifier of the data it
describes
F4. (meta)data are registered or
indexed in a searchable resource

16. Accessible
A1. (meta)data are retrievable by their
identifier using a standardized
communications protocol
A1.1 the protocol is open, free, and
universally implementable
A1.2 the protocol allows for an
authentication and authorization
procedure, where necessary
A2. metadata are accessible, even
when the data are no longer available

17. Interoperable
I1. (meta)data use a formal,
accessible, shared, and broadly
applicable language for knowledge
representation.
I2. (meta)data use vocabularies that
follow FAIR principles
I3. (meta)data include qualified
references to other (meta)data

18. Reusable
R1. (meta)data are richly described
with a plurality of accurate and
relevant attributes
R1.1. (meta)data are released with a
clear and accessible data usage license
R1.2. (meta)data are associated with
detailed provenance
R1.3. (meta)data meet domain-
relevant community standards

19. Reproducibilty and Data Citation
Supporting FAIR data: categorization of research data as a tool in
data management https://doi.org/10.23978/inf.77419

20. Reproducibilty and Data Citation
Supporting FAIR data: categorization of research data as a tool in data
management https://doi.org/10.23978/inf.77419

21. The use of identifiers should be documented and support the needs of the research community
All research datasets that are opened or of which the metadata is published has a PID, preferably a URN or
DOI
The PID directs the user to sufficient metadata
If the data is not available the landing page is a tombstone page
One dataset can have several PIDs from different systems
DataCite relation types are used to describe relations
Semantics should be used with consideration
Identifiers have a defined structure
Identifiers for human use are user friendly
Avoid creating superfluous PIDs
21
FINNISHNATIONALGUIDELINE(DRAFT)

22. Creating context

23. Some additional sources and links
https://www.wnycstudios.org/story/radiolab-right-be-forgotten
https://bits.blogs.nytimes.com/2011/09/07/the-lifespan-of-a-link/
https://en.wikipedia.org/wiki/Link_rot
Saara Häkkinen https://jyx.jyu.fi/handle/123456789/63968#
Jenny Phan http://uu.diva-portal.org/smash/get/diva2:1218343/FULLTEXT01.pdf
Heidi Wirilander https://jyu.academia.edu/Wirilander
Siiri Laitinen http://mdh.diva-portal.org/smash/record.jsf?pid=diva2%3A1225314&dswid=1414
Lauri Viinikkala http://urn.fi/URN:ISBN:978-951-29-7524-2
Definition of reuse http://doi.org/10.5334/dsj-2019-022
Smiljana Antonijevic http://www.digitalhumanities.org/dhq/vol/12/3/000399/000399.html ; https://smiljana.org/

24. Some additional sources and links
Från Open Access till Open Science. Framväxten av öppen forskning och vetenskap.
http://nordicom.gu.se/sites/default/files/kapitel-pdf/von_essen_97-103.pdf
Wilkinson, M., Dumontier, M., Aalsbersberg J.J. et al. (2016). The FAIR guiding
principles for scientific data management and stewardship. Scientific Data. Vol 3.
http://dx.doi.org/10.1038/sdata.2016.18
Supporting FAIR data: categorization of research data as a tool in data management
https://doi.org/10.23978/inf.77419
PID recommendation for research datasets https://wiki.eduuni.fi/x/zBc9Bw
and Nomad’s Trails https://nomadstrails.com/ ; https://www.youtube.com/c/nomadstrails