OpenAPC - preliminary results and outlook (DEFF project workshop OAM-DK on OA monitoring 2/10 2017 Copenhagen University Library)

1. OpenAPC – preliminary results and outlook
DEFF project workshop OAM-DK on OA monitoring 2/10 2017
Copenhagen University Library
Dirk Pieper (Bielefeld UL)

2. Agenda
1. INTACT
2. OpenAPC approach
3. OpenAPC data analysis
4. Outlook
5. FAIR data principles

3. INTACT („transparent infrastructure for open access publication
fees“) funded by German Research Foundation (DFG) for 3 years
(until 09/2018)
Partners: Bielefeld UL, Max Planck Digital Library, Institute for
Interdisciplinary Studies of Science (I²SoS, Bielefeld U)
Supported by the DINI working group Electronic Publishing

4. ESAC (Lead: MPDL)
Help shaping the principles and conditions of APC based business
models
Gain more evidence on institutional APC workflows and their
respective challenges involved
Partner with publishers to work on the improvement of processes
such as submission, author identification, invoicing and reporting

5. ESAC (Lead: MPDL)
Become a reference point and network in order to communicate
good practices and guidelines on this subject
Outcomes:
 Offsetting workshops 2016-03 (Munich), 2017-03 (Vienna)
 Offsetting dataset

6. ESAC (Lead: MPDL)
 Joint understanding of offsetting (2016-03)
 Customer Recommendations for Article Workflows and Services
for Offsetting (2017-03)

7. ESAC (Lead: MPDL)
 INTACT workshop offsetting and open access transformation for
german acquisition librariens (2017-05)
 Kai Geschuhn (MPDL), Graham Stone (Jisc): ESAC
Recommendations for Transformation Agreements (“Offsetting”)
(to be published in UKSG Insights)

8. OA analytics (Lead: I²SoS)
Provides bibliometric indicators about the development of open
access publishing in universities and research organisations
Outcomes:
 ISSN-GOLD-OA (most comprehensive list of OA journal titles
worldwide, e.g. used in OpenAPC to identify hybrid journals)
 Publications in gold oa journals on a global and european scale
(only in german language so far)

9. OA percentages for countries with the biggest publication output
worldwide based on Web of Science data 2008-2016

10. Countries with the highest oa percentages worldwide based on Web
of Science data 2008-2016

11. OA percentages for european countries with the biggest publication
output based on Web of Science data 2008-2016

12. European countries with the highest oa percentages based on Web
of Science data 2008-2016

13. OpenAPC (Lead: Bielefeld UL)
Started by Bielefeld UL in 2014-06
Original goal was to develop efficient workflows to fulfil reporting
duties within the „Open-Access Publishing Programme“ (DFG)
Next step was to support german participants of the DFG
programme
International aggregation of APC data

14. Agenda
1. INTACT
2. OpenAPC approach
3. OpenAPC data analysis
4. Outlook
5. FAIR data principles

15. OpenAPC approach
Require as less as information as possible from contributing
institutions, see Data Submission Handout and OpenAPC schema
Use Crossref API to normalise bibliographic metadata (via DOI )
Enrich identifiers (ISSNs, PMID, PMCID, UT)
Continous data integrity testing

16. OpenAPC approach
Scripts for enrichment steps, normalisation, quality checks and
analysis are open source
Version control through GitHub including history (automatic snyc to
local GitLab)
Datasets are made available under open data commons license v1.0

17. OpenAPC approach
Institutions can get back normalised data for reporting (but
OpenAPC cannot replace national or funder specific reporting
duties)
No separation of data, documentation and reporting code
Data in common format (CSV, JSON), plus OLAP Server API

18. OpenAPC approach
Blog, calculations, plots automatically created using (R) markdown
Visualization layer (treemaps) through Cubes OLAP Server

19. Agenda
1. INTACT
2. OpenAPC approach
3. OpenAPC data analysis
4. Outlook
5. FAIR data principles

21. OpenAPC data analysis
Release during the „sustainable open access mini conference“
(November 2015): https://github.com/OpenAPC/openapc-
de/releases/tag/v1.2.0
About one year later:
https://github.com/OpenAPC/openapc-de/releases/tag/v3.1.0
Current release:
https://github.com/OpenAPC/openapc-de/releases/tag/v3.19.4

22. Global OpenAPC development (around October 2015-2017)
Year Number of
institutions
Number of
articles
Amount in
EURO
Median in
EURO
2015 24 3.618 4.474.463 1.202
2016 40 18.370 32.802.770 1.544
2017 117 44.425 86.008.454 1.756

23. Actual OpenAPC dataset
Blog: http://openapc.github.io/about/
Visualisation: https://treemaps.intact-project.org/apcdata/openapc/

24. Agenda
1. INTACT
2. OpenAPC approach
3. OpenAPC data analysis
4. Outlook
5. FAIR data principles

25. OpenAPC Outlook
Funding options for OpenAPC
 Grant proposal within funding programme „Förderrichtlinie des
freien Informationsflusses in der Wissenschaft – Open Access“ of
the Federal Ministry of Education and Research (2017-05)
 WP6 „Towards a scholary commons“ in OpenAIRE-Advance (Lead
UNIBI). Subtask 6.3.3 „Transparency of APCs”

26. OpenAPC Outlook
Germany: Integration of data from BMBF Post-Grant-Fund
Calculation for gold oa expenditures for institutions, which don´t
offer institutional funding services (in cooperation with I²SoS)
Support DEAL and OA2020 initiative with data analysis
Develop methods to calculate OA transformation on national and
institutional levels

27. OpenAPC Outlook
Harvesting APC data from repositories as an additional way to
integrate cost data into OpenAPC
Deinzer, Gernot, Wagner, Alexander, Broschinski, Christoph, &
Pieper, Dirk. (2017). Including Open Access Information in
institutional repositories. Zenodo.
http://doi.org/10.5281/zenodo.887318

29. Agenda
1. INTACT
2. OpenAPC approach
3. OpenAPC data analysis
4. Outlook
5. FAIR data principles

30. OpenAPC and FAIR data principles
F1 (meta)data are assigned a globally
unique and eternally persistent
identifier
DOI
F2 data are described with
rich metadata
Crossref, enrichment
with additional
identifiers
F3 (meta)data
are registered or indexed in a
searchable resource
Dataset is registered
in DataCite
F4 metadata specify the data identifier Yes

31. OpenAPC and FAIR data principles
A1 (meta)data are retrievable by their
identifier using a standardized
communications protocol
OLAP Server
A1.1 the protocol is open, free, and
universally implementable
Yes
A1.2 the protocol allows for
an authentication and authorization
procedure, where necessary
Not necessary
A2 metadata are accessible, even when
the data are no longer available
Yes

32. OpenAPC and FAIR data principles
I1 (meta)data use a formal, accessible,
shared, and broadly applicable
language for knowledge
representation
Treemaps, plots, lists,
csv, json
I2 (meta)data use vocabularies that
follow FAIR principles
No (?)
I3 (meta)data include qualified
references to other (meta)data
Article identifiers

33. OpenAPC and FAIR data principles
R1 (meta)data have a plurality of
accurate and relevant attributes
Not necessary
R1.1 (meta)data are released with a clear
and accessible data usage license
Odcl v1.0
R1.2 (meta)data are associated with
their provenance
Name of contributing
institution
R1.3 (meta)data meet domain-relevant
community standards
(?)

34. Thank you for your attention!
www.intact-project.org
Follow us: @oa_intact