Ed Simons

CRIS and ORCID: sketching the landscape

Webinar: 18th of December 2014

Ed Simons, President of euroCRIS

CRIS: a bit of history (based on the – exemplary - Dutch experience)

• CRIS started as administrative tools: to replace the (periodic, yearly)

reporting to the government and funders and basically of use for research

administrators (consequence: aversion by researchers).

• From the start comprehensive and detailed; covering information on:

- Projects (title, description, duration, etc...).

- People (researchers) and organisations (institutes/institutions)

involved with specification of their role in the research.

- Input resources, in time, money and equipment and specified per

person/organisational unit (f.t.e’s, euro’s, ...).

- Output of the research (list of all publications, patents, other

products, ...).

• Evolved in time towards tools for the researchers: growing awareness that

the richness and completeness of information stored in a CRIS could be

used as a tool for (flexible, variable) profiling and exposure of research and

researchers (result of web 2.0 developments and attempts by developers to make

CRIS more attractive in order to get the information in time in the CRIS)

CRIS: from administrative to research profiling and Intelligence tool.

CRIS: from administrative to research profiling and Intelligence tool.

CRIS: a bit of history

• Another aspect that gradually change(s)d the view on and acceptance of

CRIS: automated input of data already stored in other applications/systems

(e.g. publication data from Web of Science, Scopus, MedLine, etc…), which

reduced the overhead and administrative workload for the researcher.

• Apart from the growing significance for researchers, CRIS also were

“discovered” by managers and policy makers as the primary resource for

business intelligence on research, necessary for an optimal steering and

policy of research (research intelligence tool).

All this leads anno 2014 to a central, pivotal postion of CRIS in the research

information ecosystem.

CRIS: from administrative to research profiling and Intelligence tool.

Standard ID’s and exchange format

To make the information exchange (interoperability) to and

from a CRIS work, the following is needed:

Standard identifiers for the objects in the RI ecosystem:

• Researchers: e.g ORCID

• Products (publications, datasets): DOI

• Organisations: e.g. ISNI,...

• Projects: (? – to be developed)

Standard Exchange Format: CERIF-XML.

Last but not least, on a non-technical level: standard vocabularies and

use case definitions (as e.g. provided by CASRAI).

InteroperabilityrequiresStandards

ORCIDCERIF

ORCID CERIF

ORCID CERIF

ORCID CERIF

ORCID CERIF

ORCID CERIF

ORCID CERIF

ORCIDCERIF

ORCID CERIF

A vision of the future: towards a DRE(Digital Research Environment) Digital Research

Environment