ARCHIV

ARCHIV

As the h-index becomes the gold standard for measu­ring scholar­ly impact, the risk for gaming the system grows. This has spurred the propo­sal for report­ing a self-citati­on index (s‑index), which aims to add much needed context to calcu­la­ted h scores. It also is expec­ted to promo­te good citati­on habits. A neces­sa­ry step towards using the metric is valida­ti­on. Here we propo­se to use the s-index to measu­re how self-citati­on patterns vary accor­ding to diffe­rent fields, acade­mic ages, count­ries, and institutions.

Report: Track­ing self-citati­ons in acade­mic publishing

The restric­ted access to published, peer-review­ed documents is enforced via a legal frame­work, which is predo­mi­na­te­ly based upon copyright laws. In the publi­ca­ti­on process authors trans­fer the copyright (or solely the exclu­si­ve repro­duc­tion rights) to a publisher and the publisher uses these rights as a legal instru­ment to restrict access to an audience which is willing to pay for obtai­ning the right to access the content. Given this perspec­ti­ve any identi­fi­ca­ti­on of OA publi­ca­ti­ons must there­fo­re also be based upon legal infor­ma­ti­on, which defines the access charac­ter of the publi­ca­ti­on as imposed by the copyright holder, i.e. the publisher.

Inspi­red by the Hybrid OA Dashboard (Jahn, 2017) we there­fo­re propo­se to apply licen­sing infor­ma­ti­on suppli­ed by publishers to the publisher associa­ti­on Cross­ref to identi­fy OA publi­ca­ti­on. In detail, we propo­se to obtain the respec­ti­ve licen­ses of Web of Science (or Scopus) indexed publi­ca­ti­ons and compa­re them with a white­list of estab­lished OA licen­ses and annota­te the thereby defined OA status of the publi­ca­ti­ons in the KB infrastructure.

Report: Apply­ing Cross­ref and Unpay­wall infor­ma­ti­on to identi­fy gold, hidden gold, hybrid and delay­ed Open Access publi­ca­ti­ons in the KB publi­ca­ti­on corpus

Im Projekt „Effizi­en­tes Retrie­val auf Web of Science-Daten mit Elastic­se­arch“ ist geplant, die umfang­rei­chen XML-Daten des Web of Science (WoS), die aktuell in einer SQL-Daten­bank vorlie­gen, in einen perfor­man­ten Elastic­se­arch Index3 zu überfüh­ren. Dadurch werden diese Daten effizi­en­ter recher­chier­bar und leich­ter zugänglich.

Abschluss­be­richt: Effzi­en­tes Retrie­val auf Web of Science-Daten mit Elasticsearch